PhD in Economics and Statistics

The four-year PhD in Economics and Statistics (ECOSTAT) has been created to provide the most effective response to the important challenges which doctoral programs in the areas of economics and statistics, both in Italy and Europe, have to cope with nowadays, namely: i) high qualification of the faculty, in terms of teaching abilities and publication records; ii) capability of attracting high quality students; iii) interdisciplinarity; iv) internationalization; v) relations with the non-academic job market; vi) placement of students who have successfully discussed their dissertations.

ECOSTAT carries over the fruitful collaboration among economists and statisticians from the Department of Economics, Management and Statistics (DEMS) and the Department of Statistics and Quantitative Methods of UniMiB, which has started twenty years ago within the BSc in Statistics and Economics, as well as the MSc in Statistics and Economics and is going on with the more recent MSc in Data Science.

Coordinator: Prof. Matteo Manera

Vice-Coordinator: Prof. Giorgio Vittadini

What's new?

This section aims at describing the innovative characteristics of ECOSTAT with respect to the PhD programs in economics and in statistics currently offered by other prestigious Italian and European universities, while details on each novelty are presented in the next sections.

Teaching activities

ECOSTAT belongs to the PhD School of UniMiB, it is affiliated to DEMS, it lasts four years and it is articulated in two curricula, Economics (ECO) and Statistics (STAT).

The first-year teaching activities are mainly devoted to structured courses (tool courses), which are compulsory. Some of these courses are fixed and specific to each curriculum, some are in common between the two curricula, some other courses are chosen by students within each curriculum.

The second-year teaching activities take the form of less structured courses (elective courses or reading groups).

In general, the first-year courses are offered by “internal” teachers, while second-year courses are often open to the collaboration of foreign instructors (visiting scholars).

“Flexible” profiles vs “training” profiles

By means of appropriate sequences of courses, suggested and monitored by the Programme Committee and the supervisors, students are able to build up “flexible” profiles, which are mainly addressed to scientific research, both in universities or in non-academic institutions, at national or international level.

ECOSTAT facilitates the interaction between economic and statistical skills by proposing two innovative “training” profiles, which are mainly addressed to the non-academic job market. The “training” profiles aim at:

offering to the non-academic job market high-level skills which are not currently available;
attracting students who are interested in ECOSTAT as a way to gain new and advanced skills to be immediately spent into that segment of the job market which is not academically- or research-oriented;
eliciting the collaboration of high-quality national multi-national companies, which are active in human capital investment and are ready to use the instruments of the executive doctorate, the apprenticeship contracts as well as the direct financing of a PhD scholarship on specific research projects.

The two “training” profiles proposed by ECOSTAT are briefly described below.

Dynamic Macroeconomics/Forecasting

This profile enables to gain advanced skills in the empirical use (specification and calibration/simulation) of the DSGE models, with specific reference to the role of central banks, fiscal policies (taxation, public expenditure and public debt) and the effects of monetary policy shocks. This profiles focuses also on the most advanced techniques to forecast macroeconomic variables. The technical differences between forecasting and nowcasting are considered, especially from the viewpoint of data characteristics and availability (historical data vs “contemporaneous” data). Different approaches to nowcasting are illustrated (“in-filling”, mixed-data sampling models, factor models, factor with ragged edges, bridge equations). Particular attention is paid to the strategies for producing accurate nowcasts.

Students who are interested in this profile belong to the curriculum ECO, which is appropriately integrated in order to include courses on the following topics: advanced macroeconomics, advanced time series econometrics; Bayesian statistics; forecasting/nowcasting techniques.

Big Data Analytics/Data Science

Following this profile, students learn the key elements of programming and data management with focus on the analysis of large amounts of structured and unstructured data (e.g., natural language), the main paradigms of Big Data and data visualization, based on the use of innovative techniques of machine learning, text and web mining. This profile enables to gain advanced skills in project management, with particular reference to data driven innovation of decision processes.

Students who are interested in this profile come from the curriculum STAT, integrated with a selection of courses on the following topics: programming and languages for data management (Python and SQL); data management (data integration and data quality); data analysis for economics and social sciences (SAS and R); architectures and paradigms for big data (relational DB vs No SQL); machine learning; text mining and web analytics; data visualization; project management.

Length of the program

The current length of many PhD programs in economics and statistics in Italy, including the PhD in Economics DEFAP-Bicocca and in Statistics and Mathematical Finance of UniMiB, is three yers. This length is insufficient to guarantee that the PhD theses meet the quality standards achieved by the best European PhD programs. For this reason, ECOSTAT lasts four years. This duration is in line with the recent choices of some of the best Italian PhD programs in economics and statistics, as well as the PhD programs in this area offered by the most prestigious European academic institutions.

Interdisciplinarity

ECOSTAT fosters interdisciplinary research activities, by favouring co-tutorships between economists and statisticians, as well as through the “flexible” and “training” profiles.

Relations with the non-academic job market

ECOSTAT is particularly active in collaborating with national, multi-national, high-quality and innovation-oriented companies. In particular, ECOSTAT is able to: i) offer high-level skills which are not currently available on the non-academic job market; ii) attract students who are interested in ECOSTAT as a way to gain new and advanced skills to be immediately spent into that segment of the job market which is not academically- or research-oriented; iii) elicit the collaboration of high-quality national multi-national companies, which are active in human capital investment and are ready to use the modern instruments of the executive doctorate, the apprenticeship contracts as well as the direct financing of PhD scholarships on specific research projects.

Internationalization

The international experience which has flourished within the PhD in Economics DEFAP-Bicocca and the PhD in Statistics and Mathematical Finance of UniMiB, together with the professional networks developed by many faculty members, guarantees that ECOSTAT is particularly active in collaborating with prestigious foreign universities, in terms of both students and faculty members exchange programs and joint degrees.

Governance

ECOSTAT is managed by two bodies:

the Program Committee (PC), that is the executive and decision-making board composed by full professors, associate professors and researcher of UniMiB and from other Italian and foreign universities and research institutions;
the Advisory Board (AB), which collaborates with the PC to organize the teaching and research activities of the program, is headed by the program Coordinator and is formed by a limited number of professors and researchers who are representative of the two curricula.

Teaching activities

The teaching activities proposed by ECOSTAT are organized during the first two years and differ for each curriculum, although some courses are common. Some economics courses at the first and the second year within the curriculum ECO can be offered jointly with the PhD program in Economics and in Economics and Finance of the Catholic University of Milan.

First- year courses

Specific to the curriculum ECO and in common with the curriculum STAT

Mathematics, Econometrics(§), Microeconomics, Macroeconomics, Research methods(§), Finance(*).

Specific to the curriculum STAT e in common with the curriculum ECO

Mathematical analysis, Numerical optimization, Probability, Stochastic processes, Bayesian statistics, Statistical inference, Statistical learning, Computational statistics(§), Statistical modelling, R for data science, Big data management.

Second-year courses

Second-year courses are mainly “reading groups”, that are built upon the research interests of both instructors and students, and are articulated into one/two introductory lecture/s and a series of meetings where students critically discuss the readings assigned by the instructor during the initial lecture.

The second-year courses are generally offered during the first part of the second year, in order to allow students to dedicate to their dissertations as early as possible.

Within each curriculum, a careful selection of courses, monitored by the PC and the student’s supervisor, allows each student to identify a “flexible” profile, which coherent with his/her research interests.

Exams

Generally, structured courses have written exams, while the exams associated with the reading groups are more flexible (e.g. written projects and/or oral presentations). The organization of the exams (i.e. form, number of questions, etc.) is decided by the PC and communicated to students at the beginning of each course.

Monitoring the quality of teaching

The PC runs every year a systematic evaluation of the quality of the courses offered by the PhD program, by submitting to each student of a given course a detailed questionnaire. Data from the questionnaires are elaborated statistically, sent to each instructor, and discussed within the PC, in order to identify potential problems and solutions.

Admission to the second year

Admission to the second year is based on the performance of each student in the first-year exams, including the number of Fail and the number of resits each student has been given. Rules on admission to the second and subsequent years, as well as all the other rules regulating the teaching and research activities of ECOSTAT are formalized by the PC and communicated to each student after enrollment.

(§) in common (partially or totally) with the other curriculum; (*) optional course.

Research activities

The Program Committee (PC) approves the (minimum) number of papers which form a typical PhD dissertation. These papers have to be potentially publishable on high-quality internationally refereed journals.

Supervision

In order to facilitate students in identifying a sound research project and a suitable supervisor, within the first part of the year the PC organizes a presentation of the research groups which are active among the PC and the Advisory Board (AB) members. Supervisors are asked to systematically monitor the progresses made by their supervisees and periodically report to the PC about the proceedings of their dissertations.

Seminars

PhD students, especially from the second year, are strongly invited to attend the department seminars organized on a weekly basis at UniMiB. Students of both curricula are also invited to present the progress of their research work in specific seminars, which are part of the student’s evaluation process and, if possible, are jointly organized in order to enhance cross-fertilization between economists and statisticians.

Admission to third and fourth year

Admission to the third and fourth year is formalized by the PC, based on the evaluation of the student’s research work. Admission to the third year takes also into account the performance of each student in the second-year exams.

Admission to external evaluation

Fourth-year students should present, by the end of the year, the final version of their dissertation in front of the PC. If possible, each presentation will be assigned a discussant. The admission to the external reviewers is formalized by the PC, based on the overall evaluation of the PhD thesis.

Thesis discussion

Based on the reports of the external reviewers, students are admitted to the discussion in front of the Evaluation Committee either with minor or major revisions. Students who have successfully defended their dissertation are awarded by the Evaluation Committee the title of “PhD in Economics and Statistics”. Students can request to (and obtain from) the Administrative Offices of UniMiB an official document reporting the specific curriculum they have been enrolled in.

Placement

ECOSTAT takes care of the optimal placement of its students by dedicating a unit of administrative personnel to the following specific activities: i) provide students with detailed information on the job market, domestic and international, academic and non-academic; ii) advise and assist students wishing to apply for academic positions abroad.

XXXVI cycle - Call for Applications

A.A. 2020-2021 (cycle XXXVI) Call for applications

PhD in Economics and Statistics DEMS - University of Milan-Bicocca, Italy

The link to the official Call for Applications can be found here

The Department of Economics, Management and Statistics (DEMS) of the University of Milan-Bicocca invites applications to its PhD Program in Economics and Statistics (ECOSTAT) for the academic year 2020-21 (XXXVI cycle). The PhD Program is articulated in two curricula, Economics (ECO) and Statistics (STAT). The length of the PhD Program is four years, starting in November 2020. The precise starting date of the Program will be announced in due course.
We offer eight fellowships (for a period of four years) to the highest ranked applicants. Each fellowship pays a grant of a minimum of € 16.200 (gross income) per year. The monthly allowance can be increased up to 50% for our PhD students visiting academic or scientific institutions abroad. The number of scholarships may increase if sponsorships on specific research projects become available. There will also be allowances (research funds) for short-period mobility (from the second year).
Additional scholarships and positions are also available. In particular, one additional scholarship is offered to excellent candidates willing enter the PhD program in order to develop a dissertation project focused on European studies.
The selection procedure is regulated by the official Call for Applications (Bando di Concorso), which is expected to be published in the Italian Official Journal (Gazzetta Ufficiale) after the acknowledgment issued by Italian Governmental agencies, during the period 25th May 2020 – 26th June 2020, and also posted on the PhD School’s and on the PhD program’s websites. The official Call for Applications contains detailed information on: i) the documents which each candidate has to submit; ii) structure, contents and timing (second half of July 2020) of the entrance examination; iii) description of the projects related to the additional scholarships and positions.

The link to the official Call for Applications can be found here

Program committee

Surname	Name	University	Department	Curriculum
ALBONICO	Alice	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
ARGIENTO	Raffaele	Cattolica del Sacro Cuore	Scienze Statistiche	Statistica
ATHANASOGLOU	Stergios	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
BAILLIE	Richard	King's College London - Regno Unito	Economics	Economia
BEN-PORATH	Elchanan	The Hebrew University of Jerusalem - Israele	Economics	Economia
BINELLI	Chiara	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
BOLLINO	Carlo Andrea	Perugia	Economia	Economia
BRENDAN	Murphy	University College Dublin - Irlanda	Mathematics and Statistics	Statistica
CAMERLENGHI	Federico	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
COLCIAGO	Andrea	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
CONSONNI	Guido	Cattolica del Sacro Cuore	Scienze Statistiche	Statistica
CRETI'	Anna	Paris-Dauphine University - Francia	Géopolitique de l'Energie et des Matières Premières	Economia
DALLA PELLEGRINA	Lucia	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
D'AMBROSIO	Conchita	University of Luxembourg - Lussemburgo	Lettres, Sciences Humaines, Arts et Sciences de l'Education	Economia
DIA	Enzo	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
FARAVELLI	Marco	University of Queensland - Australia	Economics	Economia
GATTAI	Valeria	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
GRESELIN	Francesca	Milano-Bicocca	Statistica e Metodi Quantitativi	Statistica
GUINDANI	Michele	University of California Irvine - Stati Uniti	Statistics	Statistica
HECQ	Alain	Maastricht University - Paesi Bassi	Economics	Economia
LOVAGLIO	Pietro Giorgio	Milano-Bicocca	Statistica e Metodi Quantitativi	Statistica
LUNARDON	Nicola	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
MANERA	Matteo	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
MANTOVANI	Marco	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
MARCHESI	Silvia	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
MCLACHLAN	Geoffrey	University of Queensland - Australia	Mathematics	Statistica
MENDOLA	Mariapia	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
MICHELANGELI	Alessandra	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
MIGLIORATI	Sonia	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
MORANA	Claudio	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
MOSCONE	Francesco	Brunel University London - Regno Unito	Environment, Health and Societies	Statistica
NAIMZADA	Ahmad	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
NIPOTI	Bernardo	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
ONGARO	Andrea	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
PACI	Lucia	Cattolica del Sacro Cuore	Scienze Statistiche	Statistica
PAGANI	Laura	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
PELAGATTI	Matteo	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
PELUSO	Stefano	Milano-Bicocca	Statistica e Metodi Quantitativi	Statistica
PENNONI	Fulvia	Milano-Bicocca	Statistica e Metodi Quantitativi	Statistica
PIEVATOLO	Antonio	Consiglio Nazionale delle Ricerche (CNR) - Milano	Istituto di Matematica Applicata e Tecnologie Informatiche	Statistica
PORCU	Emilio	Newcastle University - Regno Unito	Mathematics, Statistics and Physics	Statistica
QUATTO	Piero	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
RIANI	Marco	Parma	Scienze Economiche e Aziendali	Statistica
SANTORO	Emiliano	University of Copenhagen - Danimarca	Economics	Economia
SCHARFSTEIN	Daniel	Johns Hopkins University - Stati Uniti	Bloomberg School of Public Health	Statistica
SOLARI	Aldo	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Statistica
STANCA	Luca	Milano-Bicocca	Economia, Metodi Quantitativi e Strategie di Impresa	Economia
TIRELLI	Patrizio	Pavia	Economia	Economia
VITTADINI	Giorgio	Milano-Bicocca	Statistica e Metodi Quantitativi	Statistica
ZITIKIS	Ricardas	Western University - Canada	Statistics and Actuarial Sciences	Statistica

Research groups

The research activities which characterize the PhD programme in Economics and Statistics (ECOSTAT) are carried out by an active and lively community of junior and senior researchers. Within DEMS, researchers are organized in clusters, among which the most relevant for ECOSTAT are:

- Business, economic and social statistics (coordinator: Prof. Pelagatti)

- Empirical microeconomics and microeconometrics (coordinator: Prof. Manera)

- Experimental and behavioural economics (coordinator: Prof. Stanca)

- Macroeconomics and macroeconometrics (coordinator: Prof. Morana)

- Microeconomics: theory and applications (coordinator: Prof. Gilli)

- Statistics (coordinator: Prof. Ongaro)

- Strategy, organization and innovation (coordinator: Prof. Torrisi)

Detailed information about people involved in each cluster can be found here.

News

Faculty Presentation 2020

On 5th November 2020 will take place the Research Groups presentation, as follows:

9:30 – 9:45
International and Development Economics
Presenter: Prof. Silvia Marchesi (DEMS, University of Milano-Bicocca)

9:45 – 10:00
Bayesian Statistics
Presenter: Prof. Bernardo Nipoti (DEMS, University of Milano-Bicocca)

10:00-10.15
Microeconomic Theory, Public and Political Economics
Presenter: Prof. Mario Gilli (DEMS, University of Milano-Bicocca)

10:15 – 10:30
Statistical Modelling I: Methods, Applications and COmputations
Presenter: Prof. Fulvia Pennoni (DiSMeQ, University of Milano-Bicocca)

10:30– 10:45
Behavioral and Experimental Economics
Presenter: Prof. Marco Mantovani (DEMS, University of Milano-Bicocca)

10:45-11:00
Statistical Modelling II: Methods, Applications and Computations
Presenter: Prof. Raffaele Argiento (DiSTAT, Catholic University of Milano)

11:00-11:15
Banking and Finance
Presenter: Prof. Vittoria Cerasi (DEMS, University di Milano-Bicocca)

11:15-11:30
Macroeconomics and Macroeconometrics
Presenters: Proff. Andrea Colciago and Claudio Morana (DEMS, University di Milano-Bicocca)

11:30-11:45
Economic Statistics
Presenter: Prof. Matteo Pelagatti (DEMS, University of Milano-Bicocca)

11.45-12:00
Applied Statistics: Education and Health
Presenters: Proff. Paolo Berta and Giorgio Vittadini (DiSMeQ, University di Milano-Bicocca)

12:00-12:15
Applied Microeconomics and Microeconometrics
Presenter: Prof. Laura Pagani (DEMS, University di Milano-Bicocca)

12:15-12:30
Computational Statistics, Data Mining and Statistical Learning
Presenter: Prof. Aldo Solari (DEMS, University di Milano-Bicocca)

Faculty Presentation 2019

On Tuesday 24^th September will take place the Research Groups presentations. The detailed program can be found here.

Presentations – Morning session (Catholic University of Milano)

10:00-10:30

Public and Political Economics (Presenter: Prof. Massimo Bordignon, Catholic University of Milano)

Break

11:00-11:30

Finance (Presenter: Prof. Alessandro Sbuelz, Catholic University of Milano)

11:30-12:00

Macroeconomics and Macro-Financial Econometrics (Presenter: Prof. Domenico Delli Gatti, Catholic University of Milano)

Break

12:30-13:00

Labour, Education, Health and Applied Microeconometrics (Presenter: Prof. Lorenzo Cappellari, Catholic University of Milano)

Presentations – Afternoon session (University of Milano-Bicocca)

14:30-14:50

International and Development Economics (Presenter: Prof. Silvia Marchesi, University of Milano-Bicocca)

14:50-15:10

Statistics – Department of Statistics and Quantitative Methods (Presenter: Prof. Giorgio Vittadini, University of Milano-Bicocca)

15:10-15:30

Microeconomic Theory, Public Economics and Political Economics (Presenter: Prof. Mario Gilli, University of Milano-Bicocca)

15:30-15:50

Statistics – Department of Economics, Management and Statistics (Presenter: Prof. Nicola Lunardon, Universiy of Milano-Bicocca)

15:50-16:10

Behavioral and Experimental Economics (Presenter: Prof. Marco Mantovani, University of Milano-Bicocca)

16:10-16:30

Statistics – Department of Statistics (Presenter: Prof. Raffaele Argiento, Catholic Universiy of Milano)

16:30-16:50

Business and Economic Statistics – Department of Economics, Management and Statistics (Presenter: Prof. Matteo Pelagatti, University of Milano-Bicocca)

Project Scolarships/Industrial positions

The PhD programme in Economics and Statistics (ECOSTAT) is very active in establishing relationships between top-level education and research and the most advanced segments of the job market, both domestic and international. On this respect, the agreements and projects which have been signed with companies of primary importance for cycle XXXV are described at the link below.

Project Scolarships/Industrial positions for cycle XXXV

Events (NEW!!! Course on Statistical Learning, October 2020)

Current Events

Statistical Learning (NEW!!!)

The PhD in Economics and Statistics (ECOSTAT) and the Department of Economics, Management and Statistics (DEMS) at the University of Milano-Bicocca is pleased to organize the course Statistical Learning, held by Professor Rajen Shah, University of Cambridge, during the period October 5-30, 2020.

Detailed information on this course (instructor, objectives, programme, references, prerequistes) can be found here.

Timetable

We will host the lectures as a Zoom webinar.

Lectures will be in English, with the following schedule:

Module I

- Monday 5 October 10-13

- Tuesday 6 October 11-13

- Wednesday 7 October 11-13

- Friday 9 October 11.30 -13

- Monday 12 October 11-13

- Tuesday 13 October 11-13

- Friday 16 October 11.30-13

Module II

- Monday 19 October 10-13

- Tuesday 20 October 11-13

- Wednesday 21 October 11-13

- Friday 23 October 11.30-13

- Monday 26 October 11-13

- Tuesday 27 October 11-13

- Friday 30 October 11.30 -13

Enrollment & Application period

The course is addressed to Phd students, researchers, academics, professionals and practitioners with strong quantitative background (see Prerequisites) and motivation.

Application period: September 14, 2020 - September 25, 2020.

Applications should be addressed via e-mail to the ECOSTAT Administration Office (Dr. Silvia Locatelli, e-mail: phdecostat@unimib.it) and should include the following documents as attachments:

i) filled-out application form;

ii) updated curriculum vitae.

Admissions are conditional on place availability. No fees are requested.

The ECOSTAT Administration Office will contact non-admitted candidates only.

The application form can be downloaded here

Contacts

For more information:

Prof. Matteo Manera, Coordinator of ECOSTAT, e-mail: matteo.manera@unimib.it

Prof. Aldo Solari, ECOSTAT faculty member, e-mail: aldo.solari@unimib.it

For administrative issues:

Dr. Silvia Locatelli, ECOSTAT Administration Office, e-mail: phdecostat@unimib.it

Past Events

Statistical Learning and Big Data

The PhD in Economics and Statistics (ECOSTAT) and the Department of Economics, Management and Statistics (DEMS) at the University of Milano-Bicocca is pleased to organize and host the course Statistical Learning and Big Data, held by Professor Saharon Rosset, Tel Aviv University, during the period October 7-18, 2019.

Detailed information on this course (instructor, objectives, programme, references, prerequistes) can be found here.

Venue and timetable

DEMS, University of Milano-Bicocca

Piazza dell’Ateneo Nuovo 1, 20126 Milano, Italy

October 7, 2019 – October 18, 2019

Lectures will be in English, with the following schedule:

Monday to Friday: Lectures 14:30-17:00

Friday: Case studies 17:00-18:30

For information about the rooms see here

Fees and enrollment

- Non-academics: Euro 1200

- Academics (PhD students, post-docs, assistant professors, professors): Euro 600

- Academics (PhD students, post-docs, assistant professors, professors) of the University of Milano-Bicocca and of the Catholic University of Milano: no fee

- Participants attending one module only: 50% of the corresponding full fee

Application period

September 16, 2019 – September 27, 2019

Applications should be addressed via e-mail to the ECOSTAT Administration Office (Dr. Silvia Locatelli, e-mail: silvia.locatelli@unimib.it) and should include the following documents as attachments: i) filled-out application form; ii) updated curriculum vitae. Admissions are conditional on place availability. The ECOSTAT Administration Office will contact non-admitted candidates only.

Fees payment period

September 25, 2019 – October 1, 2019

Payments should be made online only. To proceed with payment:

please use the following link if your country of residence is Italy

link to payment procedure

please use the following link if your country of residence is not Italy

link to payment procedure no Italy

Contacts

For more information:

Prof. Matteo Manera, Coordinator of ECOSTAT, e-mail: matteo.manera@unimib.it

Prof. Aldo Solari, ECOSTAT faculty member, e-mail: aldo.solari@unimib.it

For administrative issues:

Dr. Silvia Locatelli, ECOSTAT Administration Office, e-mail: silvia.locatelli@unimib.it

The PhD programme in Economics and Statistics (ECOSTAT) sponsors the 1^st CefES International Conference on European Studies, to be held at the University of Milano-Bicocca, Building U6, on June 10th-11^th 2019. Details on this event can be found here.
The PhD programe in Economics and Statistics (ECOSTAT) sponsors the International Conference on Econometric Models of Climate Change, to be held at the University of Milano-Bicocca on August 29th-30^th 2019. Details on this event can be found here.
Within the Seminar Series DEMS-ECOSTAT, Prof. Peter M Robinson (LSE), will present the paper titled “Long-range dependent curve time series” (joint with Degui Li and Han Lin Shang). Prof. Robinson is one of the most famous econometricians worldwide and has been in the editorial bords of the most influential journals in econometrics and statistics, from Econometrica to the Journal of Econometrics, from the Journal of the American Statistical Association to the Annals of Statistics. Peter Robinson’s presentation is available here, while his paper is available here. This event will be held on February 14th 2019, 12.00am, at the Aula del Consiglio, U7, fourth floor, Piazza dell’Ateneo Nuovo 1, 20126 - Milano.
Within the celebrative events of the Twentieth Anniversary of the University of Milan-Bicocca, the Department of Economics, Management and Statistics, in collaboration with the School for Graduate Studies, is pleased to announce the International Conference on The Mathematics of Subjective Probability. This event will be held on September 3rd-5th 2018, at Room U4/2, Piazza della Scienza 1, 20126 - Milano.
Within the celebrative events of its Twentieth Anniversary, the University of Milan-Bicocca, in collaboration with its School for Graduate Studies, is pleased to announce the Lectio Magistralis of Prof. Robert Engle (NYU University), winner of the 2003 Nobel Memorial Prize in Economic Sciences, on “A Financial Approach to Environmental Risk”. This event will be held on June 22nd 2018, 10.00am, at the Auditorium Guido Martinotti U12, Via Vizzola 5, 20126 - Milano.
The newly established CEnter for European Studies (CEfES-DEMS-UNIMIB), the PhD program in Economics and Statistics (ECOSTAT-UNIMIB), and the Department of Economics, Management and Statistics (DEMS-UNIMIB) are delighted of organizing the one-day international conference on Economic and Financial Implications of Climatic Change. Two plenary sessions on the economic and financial implications of climatic change have been organized on June 22^nd 2018, following Prof. Robert Engle’s talk, from 11.30am to 4.45pm, at the Auditorium Guido Martinotti U12, Via Vizzola 5, 20126 - Milano.

XXXIV cycle - Teaching activities - course programs and timetable

I Term

The I term teaching activities start on 5 November 2018 and end on 22 December 2018. The I term exam session starts on 7 January 2019 and ends on 12 January 2019.

The timetable of the I term courses is available here.

The courses/modules offered during the I term for the curriculm ECO are:

- Computational Statistics I (Instructor: Prof. Bertarelli)

- Mathematics I (in common with curriculum STAT; Instructor: Prof. Pireddu);

- Mathematics II (Instructor: Prof. Cavalli)

- Mathematics – Linear algebra (Instructor: Prof. Pecora)

- Mathematics III (Instructor: Prof. Longo)

The courses/modules offered during the I term for the curriculm STAT are:

- Mathematics I (in common with curriculum ECO; Instructor: Prof. Pireddu);

- Mathematical Analysis (modules I, II and III; Instructors: Proff. Zanco, De Bernardi, Miglierina)

- Numerical Optimization (Instructor: Prof. Vacca)

II Term

The II term teaching activities start on 14 January 2019 and end on 22 March 2019. The II term exam session starts on 1 April 2019 and ends on 12 April 2019.

The timetable of the II term courses is available here.

The courses/modules offered during the II term for the curriculm ECO are:

- Econometrics I – The Linear Regression Model (Instructor: Prof. Manera)

- Econometrics II – Microeconometrics (Instructor: Prof. Mancusi);

- Econometrics III – Time Series (in common with curriculum STAT; Instructor: Prof. Iacone)

- Microeconomics I – Consumption, Production, Market Forms (Instructor: Prof. Athanasoglou)

- Microeconomics II – Game Theory (Instructor: Prof. Gilli)

- Microeconomics III – Contract Theory (Instructor: Prof. Colombo)

The courses/modules offered during the II term for the curriculm STAT are:

- Probability I (Instructor: Prof. Camerlenghi)

- Probability II (Instructor: Prof. Camerlenghi)

- Stochastic Processes (Instructor: Prof. Davydov)

- R for Data Science (Instructor: Prof. Furfaro)

- Statistical Inference I (Instructor: Prof. Lunardon)

- Econometrics III – Time Series (in common with curriculum ECO; Instructor: Prof. Iacone)

III Term

The III term teaching activities start on 23 April 2019 and end on 30 June 2019. The III term exam session starts on 8 July 2019 and ends on 19 July 2019.

The timetable of the III term courses is available here.

The courses/modules offered during the III term for the curriculum ECO are:

- Macroeconomics I – (Instructor: Prof. Femminis)

- Macroeconomics II – (Instructor: Prof. Tirelli);

- Macroeconomics – (Instructor: Dr.ssa Albonico);

- Macroeconomics III – (Instructor: Prof. Ropele)

- Computational Statistics II – (in common with curriculum STAT; Instructor: Prof. Pini)

- Research Methods – (Instructor: Prof. Colussi)

- Finance I – Empirical Corporate Finance (Instructor: Prof. Signori)

- Finance II – Asset Pricing Theory (Instructor: Prof. Sbuelz)

- Finance III – Banking (Instructor: Prof. Cerasi)

The courses/modules offered during the III term for the curriculum STAT are:

- Statistical Inference II (Instructor: Prof. Solari)

- Statistical Inference III (Instructor: Prof. Dolera)

- Bayesian Statistics I (Instructor: Prof. Ntzoufras)

- Bayesian Statistics II (Instructor: Prof. Argiento)

- Computational Statistics II – (in common with curriculum ECO; Instructor: Prof. Pini)

- Data Management (Instructor: Prof. Maurino)

Some of the courses are offered jointly with the PhD program in Economics and Finance of the Catholic University of Milan (UCSC). For this reason, some lectures will be held at the premises of UCSC, as clearly indicated in the timetable.

IV Term

The IV term teaching activities start on late September 2019 and end on late November 2019. The IV term exam session will be fixed in due course.

The timetable of the IV term courses for the curriculum STAT is available here.

The courses/modules offered during the IV term for the curriculum STAT are:

- Statistical Learning & Big Data (modules I & II) (Instructor: Prof. S. Rosset)

- Statistical Learning & Big Data (module III) (Instructor: Prof. A. Solari)

- Statistical Modelling (Instructors: Prof. F. Bartolucci, Prof. P. Berta, Prof.ssa F. Pennoni, Prof. M. Fattore)

XXXV cycle - Teaching activities Year I - course programs and timetable

I Term

The I term teaching activities start on 4 November 2019 and end on 20 December 2019. The I term exam session starts on 7 January 2020 and ends on 10 January 2020.

The timetable of the I term courses is available here.

The courses/modules offered during the I term for the curriculm ECO are:

- Computational Statistics I (Instructor: Prof. Bertarelli)

- Mathematics I (Instructor: Prof. Pireddu);

- Mathematics II (Instructor: Prof. Cavalli);

- Mathematics – Linear algebra (Instructor: Prof. Pecora);

- Mathematics III (Instructor: Prof. Longo)

The courses/modules offered during the I term for the curriculum STAT are:

- Mathematical Analysis (modules I, II and III; Instructors: Proff. Zanco, De Bernardi, Miglierina)

- Numerical Optimization (Instructor: Prof. Dassi)

II Term

The II term teaching activities start on 13 January 2020 and end on 27 March 2020. The II term exam session starts on 30 March 2020 and ends on 9 April 2020.

The timetable of the II term courses is available here.

The courses/modules offered during the II term for the curriculm ECO are:

- Econometrics I – The Linear Regression Model (Instructor: Prof. Manera)

- Econometrics II – Microeconometrics (Instructor: Prof. Mancusi);

- Econometrics III – Time Series Part I & II (in common with curriculum STAT; Instructor: Dr. Bastianin)

- Microeconomics I – Consumption, Production, Market Forms (Instructor: Prof. Athanasoglou)

- Microeconomics II – Game Theory (Instructor: Prof. Gilli)

- Microeconomics III – Contract Theory (Instructor: Prof. Colombo)

- Microeconomics IV – (Instructor: Prof. Bertoletti)

The courses/modules offered during the II term for the curriculm STAT are:

- Probability I (Instructor: Prof. Camerlenghi)

- Probability II (Instructor: Prof. Camerlenghi)

- Stochastic Processes (Instructor: Prof. Davydov)

- Computational Statistics II (in common with curriculum ECO – Instructor: Dr.ssa Pini)

- Statistical Inference I (Instructor: Prof. Lunardon)

- Econometrics III – Time Series Part I & II (in common with curriculum ECO; Instructor: Dr. Bastianin)

III Term

The III term teaching activities start on 20 April 2020 and end on 3 July 2020. The III term exam session starts on 13 July 2020 and ends on 24 July 2020.

The timetable of the III term courses is available here.

The courses/modules offered during the III term for the curriculum ECO are:

- Macroeconomics I – (Instructor: Prof. Femminis)

- Macroeconomics III – (Instructor: Prof. Tirelli);

- Macroeconomics III – (Instructor: Dr.ssa Albonico);

- Macroeconomics II – (Instructor: Prof. Ropele);

- Macroeconomics IV – (Instructor: Dr.ssa Barbaro)

- Research Methods – (Instructor: Prof. Colussi)

- Finance I – Empirical Corporate Finance (Instructor: Prof. Signori)

- Finance II – Asset Pricing Theory (Instructor: Prof. Sbuelz)

- Finance III – Banking (Instructor: Prof. Cerasi)

The courses/modules offered during the III term for the curriculum STAT are:

- Statistical Inference II (Instructor: Prof. Solari)

- Statistical Inference III (Instructor: Prof. Dolera)

- Bayesian Statistics I (Instructor: Prof. Ntzoufras)

- Bayesian Statistics II (Instructor: Prof. Argiento)

- R for Data Science – (Instructor: Prof. Melloncelli)

- Data Management (Instructor: Prof. Maurino)

Some of the courses are offered jointly with the PhD program in Economics and Finance of the Catholic University of Milan (UCSC). For this reason, some lectures will be held at the premises of UCSC, as clearly indicated in the timetable.

IV Term

The IV term teaching activities start beginning of September 2020. The IV term exam session will be fixed in due course.

The timetable of the IV term courses for the curriculum STAT is available here .

The courses/modules offered during the IV term for the curriculum STAT are:

- Statistical Modelling (Instructors: Prof.ssa F. Greselin, Prof. Verzillo, Prof.ssa F. Pennoni, F. Bartolucci)

- Statistical Learning I & II (Instructor: Prof. Rajen Shah)

- Statistical Learning III (Instructor: Prof. Aldo Solari)

XXXV cycle - Teaching activities - Year II- Reading Groups timetable

Reading Groups offered for Year 2020-21 curriculum Eco

Reading Group in Advanced Macroeconomics

Instructor Title Term

Andrea Colciago - Rajssa Mechelli Heterogeneous Agents Models in Macroeconomics I

Domenico Delli Gatti Financial Frictions II

Silvia Marchesi The Economics of Sovereign Debt I

Domenico Massaro Behavioral and Experimental Macroeconomics II

Patrizio Tirelli Unconventional Monetary Policies II

Reading Group in Advanced Microeconomics

Istructor Title Term

Gianluca Cassese Fixed Point Techniques in Equilibrium Analysis II

Stefano Colombo Spatial Models in Microeconomics II

Valeria Gattai International Economics I

Fabrizio Panebianco Social Network Theory I

Reading Group in Advanced Econometrics

Instructor Title Term

Andrea Bastianin Economic Forecasting II

Andrea Monticini Bootstrap Methods for Time Series II

Gazi Salah Uddin Advanced Time Series Modelling I

Reading Group in Advanced Finance

Instructor Title Term

Elena Beccalli Empirical Banking I

Ettore Croci Advanced Corporate Finance I

Andrea Tarelli Advanced Asset Pricing and Portfolio Management II

Reading Group in Advanced Computational Statistics and Coding

Instructor Title Term

Alice Albonico Estimated DSGE models II

Domenico Massaro Computational Frameworks in Macroeconomics II

The timetable of the Reading Groups for ECO offered during the 1^st Term can be found here.

The timetable of the Reading Groups for ECO offered during the 2nd Term can be found here

Reading Groups offered for Year 2020-21 curriculum STAT

Instructor Title Term

Paci Lucia Statistics for Spatio-Temporal Data I

Camerlenghi – Nipoti Bayesian Non parametric Mixture Models II

Borgoni Riccardo Some issues in Statistical Modelling II

Borrotti Matteo Introduction to Deep Learning II-III

Candelieri Antonio Automated Machine Learning&Neural Architecture Search III

The timetable of the Reading Groups for STAT is available here.

XXXVI cycle - Teaching activities - I & II term - course programs and timetable

I Term

The I term teaching activities start on 26 October 2020 and end on 23 December 2020. The I term exam session starts on 7 January 2021 and ends on 13 January 2021.

The timetable of the I term courses is available here.

For the first term the lessons will be on line in live mode. Students will be contacted by the professors for more details.

The courses/modules offered during the I term for the curriculm ECO are:

- Computational Statistics I (Instructor: Prof. Bertarelli)

- Mathematics – Linear algebra (Instructor: Prof. Pecora);

- Mathematics I (Instructor: Prof. Pireddu);

- Mathematics II (Instructor: Prof. Cavalli);

- Mathematics III (Instructor: Prof. Longo)

The courses/modules offered during the I term for the curriculum STAT are:

- Mathematical Analysis (modules I, II and III; Instructors: Proff. Zanco, De Bernardi, Miglierina)

- Numerical Optimization (Instructor: Prof. Dassi)

II Term

The II term teaching activities start on 11 January 2021 and end on 31 March 2021. The II term exam session starts on 6 April 2021 and ends on 9 April 2021.

For the second term the lessons will be on line in live mode. Students will be contacted by the professors for more details.

The return to live lessons will be communicated promptly, as soon as the pandemic conditions allow it.

The timetable of the II term courses is available here.

The courses/modules offered during the II term for the curriculm ECO are:

- Econometrics I – The Linear Regression Model (Instructor: Prof. Manera)

- Econometrics II – Microeconometrics (Instructor: Prof. Mancusi);

- Econometrics III – Time Series Part I & II (in common with curriculum STAT; Instructor: Prof. Bastianin)

- Microeconomics I – Consumption, Production, Market Forms (Instructor: Prof. Athanasoglou)

- Microeconomics II – Game Theory (Instructor: Prof. Gilli)

- Microeconomics III – Contract Theory (Instructor: Prof. Colombo)

- Microeconomics IV – (Instructor: Prof. Bertoletti)

The courses/modules offered during the II term for the curriculm STAT are:

- Probability I & II (Instructor: Prof. Camerlenghi)

- Stochastic Processes (Instructor: Prof. Buonaguidi)

- R for Data Science (Instructor: Prof. Melloncelli)

- Statistical Inference I (Instructor: Prof. Lunardon)

- Econometrics III – Time Series Part I & II (in common with curriculum ECO; Instructor: Prof. Bastianin)