| Elenco delle attività formative previste per i dottorandi del primo anno |
Statistics
data presunta: primo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The aim of this course is to examine
the theory of generalized linear
models and their applications, and to
introduce the larger family of mixed
models. Real data examples will be
provided using the R language.
Introduction: Statistical models and
(maximum) likelihood. The building
blocks of mean regression: The
exponential family of probability
distributions. Generalized linear
models: Theory and applications.
Inference: Maximum likelihood for
GLMs. Generalized linear mixed
models for correlated responses
modalità di accertamento finale:
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Sustainability: approaches and research in Social and Economic Sciences
data presunta: secondo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course aims at getting doctoral
students familiar with the current
multidisciplinary approaches as well
as research topics and methods to
different and interdependent
(economic, social environmental)
aspects of sustainability in markets
and public policy, as well as in
private and public organizations.
Business sustainability strategies in
both financial (Sustainable finance)
and commodities markets are dealt
with. Besides, sustainability in public
policy is analyzed as a paradigm
inspiring agenda (strategies and
goals), instruments, implementation
(including governance arrangements
and metagovernance strategies) and
evaluation (including the use of data
science for measuring impacts and
managing resources), at different
scales (international and
transnational, national, sub-national).
The implications for sustainability of
science, technologies, and innovation
processes of will be also studied,
focusing on social, economic and
cultural aspects.
modalità di accertamento finale:
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Probability
data presunta: primo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: An introduction to some advanced
topics in probability theory:
Simple Random Walk
Markov Chains
Markov Chain Monte Carlo
Martingales
Brownian Motion
Stationary Processes
modalità di accertamento finale:
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Mathematics and Financial Mathematics
data presunta: primo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: Mathematics:
1. Elements of Linear Algebra:
Algebra of Matrices, eigenvalues and
eigenvectors, diagonalization.
Economic applications.
2. Differential Equations: first order
differential equations (autonomous,
linear, Bernoulli's, separable
variables, homogeneous), second
order differential equations, constant
coefficients linear differential
equations of order n, systems of
constant coefficients linear
differential equations, general
solutions and particular solutions.
3. Introduction to Integration:
Riemann's definition of definite
integrals; Indefinite integrals; Infinite
and improper integral; Double and
triple integrals (evaluation techniques
only)
Financial Mathematics:
1. One Period Binomial Pricing
Model
2. Multi Period Binomial Pricing
Model
3. State Prices and Capital Asset
Pricing Model
4. Interest rate dependent Assets
modalità di accertamento finale:
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Macroeconomics
data presunta: primo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: 1) Dynamic Stochastic General
Equilibrium (DSGE) models: the
RBC model
We first illustrate the standard
procedure for solving non-linear,
dynamic, discrete-time stochastic
models. The emphasis will be on the
economic blocks of the theoretical
framework as well as on the
computational aspects. After deriving
the equilibrium conditions of the
model and the steady-state
relationships among variables, we
log-linearize the equilibrium
equations of the system and
subsequently rely on the Blanchard
and Khan (1980) method to obtain
the recursive relationships associated
with the dynamic equilibrium (policy
functions). We then analyse the
model predictions by conducting
impulse response and variance
decomposition analyses We will
focus first on a baseline version of
the Real Business Cycle (RBC)
2) The New Keynesian DSGE model
We then analyze a baseline Dynamic
Stochastic General Equilibrium
(DSGE) model of the New Keynesian
type. In this framework we allow for
imperfect competition and nominal
rigidities with the hypothesis of
random price duration.
After deriving the solution, we
analyse the predictions of the model
and discuss the propagation
mechanisms featured in it. We also
analyse the equilibrium dynamics
under different monetary policy rules
This part of the course focuses on
optimal policies in DSGE New
Keynesian models and open
macroeconomics. The normative part
analyzes the sources of inefficiencies
in NK models and how different
policy regimes affect the optimal
conduct of monetary policy. In
particular, the focus will be on
discretionary vs. commitment
regimes. About the positive part, it
shows how the embed a NK model
with elements of open economy like
exchange rates, trade balance and
uncovered interest parity
modalità di accertamento finale:
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Microeconomics
data presunta: primo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course is divided into two parts:
Part one: Consumption and
Production Theory
1. Preference and Choice
2. Consumer Choice
3. Classical Demand Theory
4. Production
5. Competitive Markets
Part two: General Equilibrium
Theory
6. General Equilibrium Theory: Some
Examples
7. Equilibrium and Its Basic Welfare
Properties
8. The Positive Theory of
Equilibrium
modalità di accertamento finale:
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Applied econometrics
data presunta: primo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course aims at providing students
with methodological techniques for
micro and macro econometrics. The
course is organized in two parts. The
FINANCE AND
INSTITUTIONS
PUBLIC POLICY
ANALYSIS AND
SI Insegnamento
erogato in
collaborazione
con la Scuola
first covering microeconometrics and
consisting of 4 lectures (1.5 hours
each). The second part covers the
econometrics of time series and
consists of 8 lectures (1.5 hours
each). Most of the material is in the
references listed below. Reading
additional articles may be required
during the course.
Grades will be based on the exam,
whose details will be defined in class.
Part 1. Microeconometrics
ECONOMIC QUESTIONS AND
DATA
Economic questions we examine
Data: sources and types
FUNDAMENTAL OF
REGRESSION ANALYSIS
Linear regression with one regressor
Linear regression with multiple
regressors
Hypothesis tests and confidence
intervals
Nonlinear regression functions
THREATS TO INTERNAL
VALIDITY AND INSTRUMENTAL
VARIABLE REGRESSION
Omitted variable bias
Sources of inconsistency of OLS
standard errors
Sample selection
Instrumental variable regression
Part 2. Macroeconometrics
UNIVARIATE ANALYSIS
Stationary Processes: Wold
Decomposition Theorem and Moving
Average representations;
Autoregressive and White Noise
processes; ARMA processes
Prediction and Impulse Responses
Maximum Likelihood Estimation and
Numerical Optimization
Non-stationary processes: Sources of
non-stationarity; Unit root tests;
ARIMA models
Non-linearity and Structural breaks:
Conditional Heteroskedasticity;
Mixture Distributions; Models of
Changes in Regime
MULTIVARIATE ANALYSIS
Vector Autoregressions:
Covariance-Stationary Vector
Processes; Maximum Likelihood
Estimation; Order Selection and
Model Diagnostics
Structural VARs: Short-run
Identification; Recursively Identified
Models
Impulse Responses, Variance
Decompositions, Historical
Decompositions, Forecasts,
Counterfactuals
modalità di accertamento finale:
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Computational Tools for Statistics
data presunta: secondo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: Advanced approach to
R
programming:
- Variables and objects, types and
classes
- Functions and methods
- Control flow and loops
Matrix algebra:
- operations between scalars, vectors
and matrices
- outer product and more
- other matrix algebra operations
- combine matrices
Simulation:
- pseudorandom number generation
- number generation from distribution
models
- stochastic processes (random walk;
autoregressive processes; Poisson
processes; diffusion processes;
Markov chains);
Numerical analysis:
- optimization
- root-finding
- integration
- definition and simulation of
a
distribution model starting from
a
generic nonnegative function.
modalità di accertamento finale:
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Computational Tools for Finance
data presunta: secondo term AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This course focuses on the main
results related to the derivative
pricing problem, with particular
emphasis on the computational
aspects.
We will analyse the theoretical
framework describing the main
financial market models, and provide
the major advanced numerical
techniques commonly used to face
and solve the derivatives' evaluation
issue, when the underlying evolves
according to the models previously
presented.
Main topics:
- Beyond the Black-Scholes-Merton
model: stochastic volatility and
jump-diffusion
- The Longstaff-Schwartz method
- The FFT method
- Model calibration
Prerequisites: attendees are expected
to be familiar with the stochastic
calculus, the Arbitrage Pricing
Theory, and Matlab programming
modalità di accertamento finale:
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Quantitative Finance
data presunta: primo term - AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course will focus on extending
some fundamental results of both
asset and derivative pricing theory
when independence and/or identical
distribution assumptions are relaxed.
Both theoretical and computational
aspects will be treated.
Main topics:
- Fractional models
- The RFSV model
- Fractional Binomial Trees
- Arbitrage exclusion in a continuous
time setting
- Further extensions
Prerequisites: attendees are expected
to be familiar with the stochastic
calculus, the Arbitrage Pricing
Theory, and Matlab programming
modalità di accertamento finale:
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Development Economics
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course is articulated in two parts:
1) Joint course Florence - Göttingen
(B026833) “The Economics of
Malnutrition”
The overall objective is to acquaint
students to food security and nutrition
measurement and analysis. Students
will learn how the so called ‘triple
burden of malnutrition' - consisting of
undernutrition, overweight and
obesity, and micronutrient
deficiencies - is measured, what are
its socio-economic determinants, its
consequences on people wellbeing,
and what policies can be
implemented to address this issue.
SDGs covered in the course are: 1, 2,
3, 10.
Each topic will be presented as
a
blend of theoretical constructs
(concepts, models) and empirical
evidence based on the most
relevant/recent papers.
2) Joint course Florence - Sapienza
"
Poverty in a Dynamic World: Poverty
Traps, Vulnerability and Resilience
The overall objective is to acquaint
students to the issue of poverty
dynamics, with a focus on developing
countries, and how economists have
conceptualized, modeled, measured
and analyzed it.
The module is a coordinated set of
lectures covering three topics, namely
poverty traps, vulnerability and
resilience, adopting a microeconomic
framework.
At the end of this module, the
students will know the contemporary
debate about poverty dynamics, the
theoretical underpinnings of the
different models, and the policy
implications to fight transitory and
chronic poverty.
Each topic will be presented as
a
blend of theoretical constructs
(concepts, models) and empirical
evidence based on the most
relevant/recent papers.
modalità di accertamento finale:
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Economic Geography
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course introduces participants to
some of the most recent theoretical
and methodological advancements in
the field of economic geography and
related disciplines, focusing on local
and regional development; spatial
agglomeration and regional
disparities; transnational enterprises
and global production networks;
urban and regional economic
policies; environmental and
sustainability issues; research
methods and publication strategies. It
will include lectures and engage
participants in the discussion of
specific research papers and
challenges.
It will be structured into the
following modules:
1. Geographies of regional disparities
and sociospatial inequalities
2. Challenges in data collection
methods and analysis
3. Public policies and regional
development
4. Global production networks,
multinational enterprises and regional
development
5. Geographies of sustainability
transitions
6. Environmental policy and the
circular economy
7. Research and publication strategies
modalità di accertamento finale:
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Theories and issues in contemporary sociology
data presunta: primo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course provides an overview of
some of the most relevant current
debates in sociology, putting them in
the context of the major theoretical
and research traditions.
The first topic introduces questions of
ontological and epistemological
paradigms in sociology, and engage
in an analysis and critique of modern
society and current social change. It
will then discuss how sociology has
analysed the fundamental relation
between politics, technique and
economy, focussing on technocratic
theory, de-politicisation theory,
expert studies.
The second topic reflects on changes
of the global present in terms of their
implications for social theory,
interrogating often taken-for-granted
categories of analysis and bringing to
the foreground alternative
genealogies of knowledge.
The third topic aims to discuss
current micro-sociological theories as
heritage of qualitative research paths
with a specific focus on narration,
both oral and visual, as nodal
moments of theoretical reflection and
empirical analysis.
Sub-topics:
Sociological traditions and modernity
Contemporary sociology: global
theories and critical approaches
Contemporary sociology:
micro-theories and visual approaches
modalità di accertamento finale:
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Quantitative methods and techniques for social research
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: In this teaching module, issues
related to the epistemologies of
empirical research will be addressed.
In addition, an overview of social
research methods and techniques
(from a sociological perspective) will
be provided.
The first lectures (three hours each)
will introduce general topics such as
the difference between standard and
non-standard approaches (and their
possibilities of integration), the
specificities of the qualitative
approach and those of the
quantitative approach.
Lectures will introduce a landscape
of several techniques and application
options.
In the second part, lectures will focus
on specific methods and topics
relevant for social research.
Techniques of analysis useful for
broadening the possibilities of
empirical application in relation to
doctoral students' research work will
then be addressed.
First part (general topics)
- An overview of theoretical and
empirical approaches to social
research (related to doctoral students'
research interests).
- Between standards and
non-standards, epistemological and
technical differences and integrations.
- The contribution of qualitative
research: examples and applications.
- The landscape of quantitative
methods: techniques and models.
Second part (general topics)
- Counterfactual approach and
controlled experimentation: methods
and applications
- Text Analytics: Methods and
Applications
-
- Methods for Impact Evaluation of
Research Programs
- Impact of the Government External
Evaluation on the Academic
Knowledge Production
modalità di accertamento finale:
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Space, cultures and politics in contemporary society
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The aim of the course is to introduce
the basic ingredients underlying new
theoretical directions, methodological
tools and research perspectives in the
field of Sociology and in the Social
Sciences engaged in understanding
the need for spatializing social
processes. The course provides
students with theoretical notions that
can be applied in multidisciplinary
research. Case studies and examples
are analyzed to promote an
empirically understanding of the
topic.
The first module focuses on current
developments of “the spatial turn”.
Space as a topic in which different
lines of thought converge becomes
a
vehicle to cross-disciplinary borders,
promoting a productive
interdisciplinary and
multidisciplinary engagement The
spatial approach provides
sociological interpretations based on
the relations between society and the
physical context (natural and
constructed,) which allow to read and
comprehend the current dynamics of
change.
The second module brings out the
main changes from early modernity
to contemporaneity, addressing the
critical paradigms with particular
reference to the post-colonial one.
Agency in the spatialization of
practices. Problematizing the quality
of public spaces in the light of social
sustainability.
The third module focuses on the
analysis of space from a geopolitical
and geo-historical point of view,
understanding the transformations of
the international system and the
dynamics of change and political
confrontation not only from a state
perspective, but also including the
different ethno-religious-cultural
communities. Particular attention will
be devoted to the Middle East region.
The fourth module focuses on the
political dimension of urban space
and the processes of scalar change
affecting the political economy of
space, place and scale especially as
far as metropolitan areas are
concerned.
modalità di accertamento finale:
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Education & knowledge practices in contemporary societies
data presunta: primo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The goal of this course is to introduce
to the role of education and science
and technology in contemporary
society exploring issues related to
how education, science, and
technology reconfigure, reproduce,
and transform social relations.
Theoretical perspectives, empirical
research, and new research questions
will be shared.
The following topics will be
addressed:
- participation of new institutional
and non-institutional actors in the
field of education, producing data and
policy, recommendation.
- key issues of sociological
approaches dealing with the
unravelling and dense web lying
behind
educational inequalities and its
intertwining with other
socio-economic inequalities.
- theoretical, epistemological, and
methodological tools for a sociology
that wants to have a total and
multidimensional look at social
reality. Differences between the
concepts of relationship and
interaction.
- how objects, artefacts, and technical
devices - together with the
organisation of space and the use of
platforms take their place in the
analysis of educational processes.
Overcoming the "humanist"
perspective in education by focusing
on the relevance of the relationships
between humans and technical
materiality.
- Science and Technology Studies as
a wide and heterogeneous body of
research, challenging to think about
the scientific and technological
society rather than assuming it as
a
given. STS as the outcome of more
than one vision, with no privileged
perspective.
- practical aspects related to doing
social science research: how to
design and conduct a research project and how to plan public engagement
activities that can foster the research
contribution to society and/or the
economy. Co-productive forms of
research and types of engagement
will be explored, by looking at their
potential opportunities and challenges
modalità di accertamento finale:
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Work and socio-economic processes in contemporary societies
data presunta: primo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course provides an overview of
some of the most relevant current
debates about work and
socio-economic transformation in
contemporary society. The first part
delves into the analysis of the
transformations of work,
organizations and welfare regimes as
a result of digitalization.
The debate on the consequences of
digital technologies on work,
specifically on industrial relations,
labor market and quality of work also
with the aim of explore how and in
what ways organizational systems
respond to technological change.
This challenges and these transitions
tend to reinforce social divides
between low-skilled and high-skilled
workers.
Analysis of the consequences in
terms of inequalities first of all
related to gender but also to ethnic
background, social classes and level
of education. Analysis of the policies
implemented both at national and
supranational level to balance the
consequence of the digital transition
in terms of in-work poverty and
low-paid jobs.
The debate about barriers and
benefits for equality, diversity and
inclusion also looking at the
intersectional approach that can look
in a more complex way at the
mechanisms of reproduction or
overcoming of inequalities. Analysis
of policies focusing not only on the
most popular solutions that provide
or increase protections or provide
a
basic income for all and without
conditioning, but also ona third ways
in which market hours are reduced
and other activities such as care work
are also valued.
In the second module will be
analyzed the impact of these
transformation on middle classes.
The aim is to understand how the
composition and characteristics of the
middle classes have changed and who
is able to represent their needs.
Sub-topics:
- Work, organizations and welfare in
digital transformation
- The changing middle classes:
structural weaknesses, precarious
identities, and forms of action
modalità di accertamento finale:
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Multidimensional analysis for social sciences
data presunta: primo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course provides students with the
main issues of multidimensional
analysis and the standard
methodologies to handle the types of
problems and questions arising with
multivariate data in social sciences,
from a theoretical as well as an
applied point of view. Upon
completion of the course, the students
will be able to formalize a real data
problem, to develop a strategy of
analysis by selecting appropriate
methods, to apply the methodology
and critically interpret the obtained
results.
In particular, the student should be
able: - to apply and interpret methods of dimension reduction; - to apply
and interpret methods for
classification; - to interpret the output
of statistical software procedures for
multivariate statistics.
The course is structured into two
parts focused on theoretical aspects
and a lab module:
Part 1: Dimensionality reduction.
Fundamentals of matrix algebra.
Dimension reduction methods.
Principal Component Analysis:
definition and solution; PCA
assessment; Biplot.
Part 2: Cluster Analysis. Definition of
distance and similarity; Definition of
cluster and cluster distance; Divisive
hierarchical methods; Agglomerative
hierarchical methods; Dendrogram;
Non-hierarchical methods; K-means;
Criteria for cluster evaluation and for
the choice of the number of clusters.
Computer Laboratory: real data
applications of the multivariate
statistical methodologies using the
statistical package R; analysis and
interpretation of the output from the
R procedures concerning the
methodologies learned in the
theoretical part
modalità di accertamento finale:
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Sampling techniques and statistical surveys for social sciences
data presunta: primo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: Census and sample surveys.
Population and unit. Populations
divided into subpopulations.
Sampling frame. Sources of error and
bias. Sample designs: definition and
basic properties. Implementation of
sample designs. Sample data.
Estimators and their properties.
Confidence intervals.
Simple random sampling. Choice of
sample size. Regression estimator.
Stratified sampling design.
Post-stratification. Cluster sampling.
Unequal probability sampling
designs. Linear estimators of the
mean. Calibration.
Non-sampling error, quality
measures. Non-response. ISTAT
sampling strategies: EU-SILC and
Labour Force Survey. Surveys of
hard-to-reach populations.
modalità di accertamento finale:
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Statistical modelling for social sciences
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course aims at providing the
students with the appropriate
knowledge and understanding of the
most used statistical models in the
analysis of social and economic data.
Specific attention will be devoted to
the application of statistical
techniques to real data sets using
R
software. By the end of the course,
the students will be able to conduct
their statistical analyses
autonomously and interpret the
results critically.
Course Contents
- Multiple linear regression model;
- Statistical inference for linear
regression;
- Relaxing some assumption of linear
regression: non-linearity,
heteroscedasticity, multicollinearity;
- Logistic regression model;
- Introduction to discrete Bayesian
Networks;
- Structural learning for Bayesian
Networks using R.
Tutorial Sessions Contents
- Intro on R (install, usage and
interface);
- Data type (basic and advanced data
structure);
- Data import (read from various sources);
- Data output (graphs and spreadsheet
as outputs);
- Programming (loops, conditional
executions and functions).
Teaching Methods
- Tutorial sessions on R software in
the computer laboratory.
- Lectures and tutorial sessions in the
computer laboratory.
modalità di accertamento finale:
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Advanced topics in policy evaluation
data presunta: secondo term - AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course presents some advanced
topics in the field of policy evaluation
and microeconometrics that
are not generally covered in standard
courses. These topics are at the
frontier of microeconometrics and
are particularly useful in a research
work on the effects of industrial,
regional or labour policies. The PhD
student is also offered econometric
tools in Stata and R which could be
very useful in the implementation
of the described estimators.
modalità di accertamento finale:
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Introduction to advanced public policy analysis and evaluation
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The aim is to provide students with
advanced knowledge for
understanding systems and processes
of policy making and governance.
The course is focused on a selection
of theoretical and analytical tools,
which are situated in their historical
context and presented together with
their operational uses in research and
practice contexts, through cases and
examples.
Sub-topics:
1. Policy cycles
Theories and critique of the analytical
and normative models
(agenda-setting, policy formulation,
decision making, implementation,
evaluation)
Types of policy, policy change and
learning; actors and policy networks;
role of politics, politicization and
depoliticization of action processes
2. Policy evaluation and expert
knowledge
Knowledge-policy nexus; experts and
policymaking (epistemic
communities, policy advocacy
networks, evidence-based
policymaking); politicization of
expertise and depoliticization of
public policy.
Policy success/failure and the role of
evaluation for policy innovation;
rationalist vs. argumentative policy
evaluation; politics of evaluation.
3. Interpretive approaches to the
study of policy making
Explanatory role of ideas and
institutions. Significance and
heuristic and normative use of
rationality as a double-sided model.
Synoptic and bounded rationality vs.
neo-institutionalist accounts of
decision making
The argumentative turn and the
explanatory role of ideas and
institutions in interpretive policy
analysis: meanings, frames,
paradigms and policy change, beliefs,
discourses, narratives, référentiels,
symbols
4. Governance and metagovernance
Origins and antecedents of the
concept, its diffusion and motivations
(heuristic and practical uses).
Governance, steering, regulation.
Actors' constellations and types of
governance and regulation (by
governments, by business; by civil society; co-regulation); modes of
governance.
Metagov...
modalità di accertamento finale:
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Methods of evaluation and microeconometrics
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The main goal of this course is to
present the main recent policy
evaluation methods, such as matching
methods, diff-in-diffs estimator, the
regression discontinuity design, the
synthetic control method and a brief
introduction to mediation analysis
and counterfactual approaches in
absence of untreated units. The
course develops both methodological
and empirical aspects of different
estimators, with the related
applications in R.
The program includes:
1. Introduction to policy evaluation
methods
2. Matching methods
3. Matching difference-in-differences
estimator
4. R session
5. Regression discontinuity design
6. Synthetic control method
7. Mediation analysis
8. Machine learning control method
modalità di accertamento finale:
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Data visualization and mapping
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course aims at introducing
participants to the collection,
management, analysis, mapping,
modelling and visualization of spatial
data in a GIS environment.
Participants will learn both
theoretically and practically what the
specificities of spatial data and
methods are; how to map and analyze
geographical patterns through basic
digital cartography, spatial analysis,
spatial statistics, spatial regressions;
how to visualize and communicate
the results effectively and reflexively;
and will be introduced to examples of
applications in data visualization,
geospatial analysis, environmental
analysis, urban analysis, statistics and
economics.
Detailed program
Introduction to GIS and geodata
Spatial statistics and urban analysis
Spatial data visualization
The visual in social, urban and
geographical research
Raster analysis and environmental
applications
Causal inference with spatial data
Spatial interpolation and regressions
modalità di accertamento finale:
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Quantitative research methods for applied microeconomists
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course is structured in two
modules, Applied Health Economics
and Applied Development
Economics.
Part A: Applied Health Economics (6
hours)
This part of the course is designed to
introduce graduate students in
economics to selected topics in
applied health economics. Health
economics is a growing field and is
an important aspect of public policy
in developed and developing
countries. The course will follow
a
lecture format with a special focus on
empirical applications illustrated with
the use of software Stata. Students
will take active part in the classes,
studying and presenting a topic to
their classmates. The contents will
include:
- Overview of the Health Care
Industry, healthcare systems and
health status measurement
- Demand for Medical Services,
Socio-economic disparities in health
-
Grossmann Model
- Determinants of health
Part B: Applied Development
Economics (6 hours)
The goal is to introduce students to
empirical research, data analysis, and
quantitative methods specifically
targeted for development policies.
The module will be structured as
follows: the first part will provide an
introduction on how to approach and
make use of micro (household) data
from survey collections in developing
contexts, by showing the necessary
skills to master and understand the
data at hand before properly testing
for research questions. The focus in
this first part will be on how to
approach empirical research and
optimize efforts, microdata sources,
data cleaning, data merging and
preparation for the empirical work. In
the second part, we will deal with the
practical application of quantitative
methods for carrying out empirical
analyses in development economics,
with a specific focus on panel
methods for microeconometrics,
illustrated through selected case
studies. During the module, we will
make use of software, such as Stata
and R, to put into practice the
techniques illustrated during the
lectures
modalità di accertamento finale:
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Social network analysis
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course aims at teaching advanced
methods and models for network
analysis in socio-economic contexts.
Examples include social media data,
social networks and trade networks.
Network models allow us to evaluate
quantitative problems related to the
management of complex systems
characterized by phenomena of
collective rationality. The course
provides the elements that are
necessary to understand, describe and
validate the individual and collective
aspects of social networks such as
their architecture, centrality
measures, community discovery,
resilience, and information spreading.
The course include hands-on lessons
devoted to learning software tools for
network analysis that will allow
participants to characterize instances of real networks.
Sub-topics:
Introduction to Network Science.
Data Science and their applications.
Fundamental concepts in Social
Networks. Using R for Data Science.
Basics of Graph Theory.
Fundamental network measures and
degree distribution. Paths and notable
structures. Graphs in R and the igraph
library. Plotting graphs and skewed
distributions using R and the
tidyverse/ggplot2 libraries.
Correlations: degree correlation,
homophily, assortativity and
disassortativity. Community
detection in networks. Opinion
Dynamics and Information Spreading
on networks. Applications to social
networks.
Network Models. Random graphs:
Watts-Strogatz model,
Barabási-Albert model,
Configuration Model and rewiring
techniques. Statistical validation of
network measures with real-world
examples.
Social Media Data. How to download
and exploit data from social media
platforms and other databases for
research purposes. Studying
polarisation, segregation and echo
chambers.
modalità di accertamento finale:
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Official statistics and social indicators
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: Parte I - Teoria e metodi per la
costruzione degli indicatori
1. Costruzione degli indicatori
a. Definizione del disegno gerarchico
b. Definizione del modello di
misurazione (approcci riflessivi
e
formativi)
c. Sviluppo di un sistema di
indicatori: da un insieme di indicatori
a un sistema di indicatori
2. Misurare e comprendere le
complessità
a. Gli approcci alla riduzione
b. Sintesi di indicatori: prospettive
3. Approcci alla sintesi
a. Approcci aggregativi-compensativi
(metodi riflessivi e formativi)
b. Approcci non-compensativi
4. Rassegna della letteratura:
principali indici utilizzati nella
policy:
? Misurare il Benessere
° L'indice di sviluppo umano (HDI)
° Global Multidimensional Poverty
Index (MPI)
° Canadian Index of wellbeing
° Happy Planet Index
° Genuine Progress Indicator (GPI)
° Better Life Index (BLI)
° Quality of Life indicators
° Il progetto Benessere equo
e
sostenibile (BES)
? Misurare l'uguaglianza di genere
° Global Gender Gap Index
° Gender Development Index
° Gender Inequality Index
° Gender Equality Index
° L'uguaglianza di genere in Italia
Parte II - Attività pratica per la
costruzione di indicatori sintetici
attraverso l'uso di
R
modalità di accertamento finale:
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Qualitative research methods
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course provides training in core
methods expected to be required by
students intending to undertake
qualitative research, together with an
understanding of broader theoretical
frameworks, qualitative approaches
and methodologies within which they may be utilized. All the topics are
articulated according to specific
analysis perspectives of the
qualitative method, with a focus on
visual research, on the use of image
and new technologies in the social
sciences.
modalità di accertamento finale:
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Asset pricing
data presunta: secondo term - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This course teaches financial theory
and the quantitative tools necessary
for understanding how asset prices
are determined, and how to invest in
financial assets. The focus is on
pricing, trading and the uses of
specific asset classes (stocks, bonds,
and derivatives). The course
emphasizes the interaction between
investment decisions, financial
intermediaries, and the broader
macroeconomic environment.The
course is quantitative e and
challenging. It takes a rigorous and
critical view of the process of
investing. The aim is to provide the
students with a lasting conceptual
framework in which to view and
analyze investment decisions. The
course will relate the material to
current financial news, the recent
financial crisis and problems relevant
to the practitioner.
modalità di accertamento finale:
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Advanced performance measurement
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Estera
programma delle attività: As leader, manager, entrepreneur or
analyst, you will need to measure
performance of organisations and
individual activities. Your own
success will also be judged and
rewarded on the basis of
performance. Current performance
measurement techniques are usually
very poor and the elective provides
a
way to improve them and in doing so
to improve your own and corporate
performance. The approach is to
work on theoretical studies and on
real issues to practical answers,
recognising differences in
performance culture between
countries and organisations. In
developing our class activities,
students are provided answers to the
following questions: What are the
determinants of firms' performance?
How do you measure company
success? The role of markets in
determining measures. Will
shareholder value displace all other
measures? How much choice do
companies really have?
Understanding financial and
non-financial measures and their
pitfalls. What is an excellent
company? Improving internal
measurement - the role of
value-based management, balanced
scorecards, nonfinancial measures,
comparisons (including
benchmarking) and budgeting. What
are the new approaches to measuring
the performance in organisations,
including activities (such as
coaching), functions (such as
marketing) and those that run them
(such as the CFO), initiatives (such as
the balanced scorecard) and
programmes (such as Corporate
Social Responsibility)? The course is
crossdisciplinary, with material from
strategy, finance, accounting,
organisational behaviour and
operations management. It deals both
with the “big picture” (including the
role of social and environmental
measures) and measuring inside the organisation. It includes discussions
of how to tackle tough measurement
problems.
modalità di accertamento finale:
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Financial econometrics
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The goal of this course is to provide
students with the techniques used in
the field of the
econometrics of financial markets.
We introduce the statistical properties
of financial returns, and
the return predictability. We discuss
financial applications of univariate
time series and
cover volatility modelling:
conditional heteroscedastic models
(GARCH) and the volatility effects of
the market news (asymmetric
GARCH). We then proceed to test
market models (Fama-McBeth
regressions, etc.) and stochastic
discount factor models. Finally, we
address the assessment of
systemic market risk studying
multivariate GARCH models. Other
important topics can be covered
subject to time availability. All the
models are accompanied with
real-data applications in standard
computer packages.
modalità di accertamento finale:
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Development economics
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The overall objective of this course is
to acquaint students to the issue of
poverty dynamics, with a focus on
developing countries, and how
economists have conceptualized,
modeled, measured and analyzed it.
The module is a coordinated set of
lectures covering three topics, namely
poverty traps, vulnerability and
resilience, adopting a microeconomic
framework.
At the end of this module, the
students will know the contemporary
debate about poverty dynamics, the
theoretical underpinnings of the
different models, and the policy
implications to fight transitory and
chronic poverty.
modalità di accertamento finale:
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Machine learning for finance
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course on Machine Learning for
Finance focuses offers an
introduction to supervised learning
with application to financial time
series. The course will cover linear
and polynomial regression, linear
discriminant analysis, tree based
methods, random forest and neural
network. The computing language
used for this course is R. Some
applications to financial markets will
be discussed.
modalità di accertamento finale:
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Statistics for finance
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The study of finance requires a strong
knowledge of quantitative and
statistical methods. In fact, in this
area, it is essential to understand the
patterns of the financial quantities,
implement forecasting exercises, and
analyse already occurred financial
events to anticipate how finance may
evolve. In this area, it is essential to
perform statistical analyses of time
series, address the problem of
evaluating financial transactions
using statistical methods, and to
discuss the theory of stochastic
processes needed to model financial
phenomena with a large degree of
randomness.
This course will focus on statistical
and quantitative techniques and
methods for the study of finance.
Within this framework, we will address also purely operational issues
without ever abandoning the
methodological rigor necessary for
the study of this discipline. Research
questions such as the optimal
allocation of a capital, the prediction
of the price of a security, the decision
among different alternatives in
a
financial contexts, the exploration of
investors' preferences to delineate
their behavior in the markets are just
some of the topics addressed during
the course. Statistical methods will
include the analysis of time series,
the main statistical indicators and
their information content in finance,
the stochastic processes related to
financial quantities such as Brownian
motions and Markov chains.
modalità di accertamento finale:
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International economics
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This course is an introduction to
international trade covering both
theoretical models and current policy
issues. The main goal is to
understand the drivers of economic
relations across borders, the gains
from international trade and their
distribution within and among
countries. These topics are explored
with models based on perfect
competition and under different
forms of imperfect competition.
Globalization is presented as
a
phenomenon related to the increased
international mobility of firms and
workers with consequences on
production efficiency but also on
welfare distribution. Governments
intervene in international trade with
different policy instruments, like
tariffs and quotas, and the course
analyzes their effects within and
among countries.
modalità di accertamento finale:
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Energy markets
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The overall objective of this course is
to introduce students to the main
topics of energy markets. In
particular, the main financial aspects
related to oil, natural gas, electricity
will be investigated. In addition, the
leading models for commodity price
dynamics will be discussed, as well
as the main instruments to hedge
against risk
modalità di accertamento finale:
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Computational tools for finance
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course on Computational
Methods in Finance focuses on the
solution of complex functional
equations through numerical
methods. Pricing methods for several
derivatives under a variety of models
as well as common processes for
modeling assets in different markets
will be described. The course will
then examine several computational
approaches for asset pricing.
Calibration of model parameters and
filtering techniques will be also
discussed
modalità di accertamento finale:
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Categorical data
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This is an applied, not a theoretical,
course. Its goal is to introduce
students to impact evaluation
methods specifically targeted for
development policies. As part of the
course, we will alsoexplorethe use of
basic methods suited for categorical
data in development economics. The
course will be
structured as follows: the first part
will provide an introduction on how to approach andmakeuseof micro
(household) data from survey
collections, by showing the necessary
skills to master and
understand the data at hand before
properly testing for research
questions. In the second part, we
will study several quantitative
techniques part of the causal
inference econometrics toolbox for
the
impact evaluation of development
policies, some of which are also
related to methods suited for
categorical data analysis (such as the
Rasch model). During the course, we
will make use of
software, such as Stata and R, to
carry out empirical applications and
put into practice the
techniques illustrated during the
lectures.
modalità di accertamento finale:
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Advanced microeconomics II
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This is a continuation of the first-year
graduate course in Microeconomic
Theory. Its purpose is to
introduce students to the modern
microeconomic theory. Students
taking this course should be
familiar with materials from the fall
semester graduate microeconomics
and basic mathematical
tools for graduate students, as well as
undergraduate microeconomic
theory. This year, the first
28
nine weeks of the course is taught by
myself and the remainder by Prof.
Shigeki Isogai. This
syllabus applies only to my half of
the course.
The textbook for the course is
Microeconomic Theory by
Mas-Colell, Whinston, and Green.
There will be several problem sets
and a midterm examination. The
grading scheme for the first
half of the course is
Class participation (35%) + Problem
sets (15%) + Midterm (50%)
The grade for the course will be an
equally weighted average of the
grades from my and Professor
Isogai's parts.
Please note that late problem sets will
incur a 20% penalty for each day they
are late. Works that
are submitted more than five days
after the due date will not be
accepted.
modalità di accertamento finale:
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Applied microeconomics I
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course comprehensively
considers theory, politics, ideology
and practices. Under the guidance of
Xi Jinping Thought on Socialism
with Chinese Characteristics for
a
New Era and the policy of
poverty alleviation and targeted
poverty alleviation, through the
frontier of Applied Microeconomics,
30
the course will prepare students with
better understanding the problems
that the socialism with
Chinese characteristics still faces at
this stage, and the ability to think and
analyze the problems,
and propose and verify feasible
methods.
As a result, students will understand
the practical basis, symbol and new
journey of socialism with
Chinese characteristics entering
a
new era, the theory of socialist common prosperity, General
Secretary Xi Jinping's theory on the
new normal of economic
development, the new development
concepts of innovation, coordination,
green, openness and sharing, and the
ideas and strategies of supply-side
structural reform.
Through this course, students will
understand the importance of poverty
alleviation, and the
important role that experimental
economics can provide in the process
of poverty alleviation,
thereby laying a good foundation for
their future studies. Students can
apply the theories and
methods they have learned to
understand and analyze the major
theoretical and practical problems in
the socialist economic development
with Chinese characteristics. Through
study and application, students can
independently identify the important
problems that need to be addressed in
the
development of socialist economy
with Chinese characteristics in the
new era, and students can
use the learned theories and methods
to think and explore these problems
with innovative thinking, and further
propose solutions.
modalità di accertamento finale:
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Corporate finance
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: On the basic level, this course aims to
prepare students to master the
research object, research
methods, basic framework and main
contents of finance with Chinese
characteristics, and lay
a
good foundation for other courses.
On the second level, this course aims
to prepare students with the ability to
apply the theories and
methods to understand and analyze
the major practical problems in
China's related financial
systems.
On the third level, through study and
application, students will be able to
discover important
problems that need to be addressed in
finance with Chinese characteristics
in the new era, and
think and explore these problems
with innovative thinking with the
learned theories and methods
modalità di accertamento finale:
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Empirical industrial organization
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The purpose of this course is to
prepare students to do research in
industrial organization. While
there will some presentation and
discussion of important theoretical
papers, the primary emphasis
will on empirical work. We will
discuss papers, paying particular
attention to the modeling
approach, data requirements and
estimation techniques used. This
should help improve
a
student's ability to conduct interesting
empirical research in industrial
organization, as well as, the
ability to think critically about
research questions and methods
modalità di accertamento finale:
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Household finance
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This course covers topics in the
rapidly growing and interdisciplinary
research area: House hold
Finance. We mainly focus on the
interface between empirical family
economics and finance. We
will start with a descriptive
introduction of aggregate-level facts on house hold balance sheets in
several countries, and highlight key
empirical questions in Household
Finance. We then go into
more details for each topic in
Household Finance after the
introduction.
Along with the course, we are also
going to study the uniqueness of
Household Finance research
in China. For instance, we will
discuss how several reforms in
socioeconomic as-pects that shaped
household's arrangement in their
financial matters, as well as potential
explanations to the high
household saving and high housing
ownership puzzles.
We hope by studying this course,
students can understand household
financial Behavior from
economic/finance perspectives,
acquire empirical methodologies
involved in Household Finance
research papers, build up the ability
of micro-level data management,
understand the special
features of household finance in
Chin, and be able to deliver excellent
public presentations and
clear academic writings
modalità di accertamento finale:
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Industrial organization theory
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This class introduces students with
basic knowledge of Basic IO models,
which
studies the relationship between
market structures, behaviors by
market participants (mainly firms),
and the market outcomes. As an
application of microeconomics and
game theory, it provides us
with a very rich body of
mathematical models which we can
base our economic analyses on.
modalità di accertamento finale:
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International finance I
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: To provide coverage of key issues in
global finance using appropriate
analytical tools, including
dynamic and general equilibrium
methods; and in doing so to develop
in students the capacity to
apply these techniques to real world
problems.
modalità di accertamento finale:
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Research methodology and practice
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This course teaches machine learning
methodologies widely used in
economics, management,
and finance. Students will learn in
detail about supervised/unsupervised
machine learning,
explainable AI, and causal inference
techniques. In addition, students will
learn how to apply
various methodologies using real
data.
modalità di accertamento finale:
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Research topic and writing
data presunta: primo anno - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This course will prepare students to
successfully conduct academic
research and to write it up in
the form of academic research papers.
The course will be a mix of lectures,
discussion and in-class exercises. It is
important that the
students bear in mind that at this
level, learning is a “two-way
process”. The success of the class depends on students' contributions in
the form of comments and questions.
modalità di accertamento finale:
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Economics of corruption
data presunta: secondo term - AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This course addresses the problem of
incentives and constraints faced by
politicians when choosing public
policies and illustrates the
pathologies which may affect the
functioning of institutions, such as
corruption. Corruption is a
multi-faceted phenomenon which is
considered by several international
organizations a severe obstacle to
economic and social development in
both developing and developed
countries.
The existing theoretical and empirical
literature address several issues, such
as the existence of numerous
measures of corruption at both
national and regional levels, and in
different sectors; the multiplicity of
causes of corruption (economic,
social, politico-institutional,
juridical); the direct and indirect
effects of corruption on economic
growth; the design of anti-corruption
policies.
modalità di accertamento finale:
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International economics
data presunta: secondo term - AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: The course deals with the gravity model of international trade and an application to migration. On this, we explore the empirical issues related to the one of the most important tools in empirical
international trade. Moreover, we present the empirical analysis of the effects of trade shocks. The classical case is the China shock,
when China entered the WTO in 2001, but it can be applied to many other situations.
modalità di accertamento finale:
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Seminar on Academic Writing
data presunta: secondo term - AA 2024/25 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 4
docente del corso: qualifica: Professore affiliazione: Italiana
programma delle attività: This academic writing course is designed to teach students how to create research papers meant for peer-reviewed
journals. Throughout the course, we'll dive into the basic structure of economics articles and cover important
aspects such as writing a captivating introduction, doing a literature review, and deciding where to publish. The
course is set up like a workshop, aiming to encourage interaction among students and tackle practical challenges in
the academic writing process.
modalità di accertamento finale:
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