CERCA
The new 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 builds upon the successful experiences of the PhD in Economics DEFAP-Bicocca and the PhD in Statistics and Mathematical Finance, both active at the University of Milan-Bicocca (UniMiB) until the current academic year.
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
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.
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.
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).
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:
The two “training” profiles proposed by ECOSTAT are briefly described below.
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.
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.
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.
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.
ECOSTAT is managed by two bodies:
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.
Mathematics, Econometrics(§), Microeconomics, Macroeconomics, Research methods(§), Public economics(*), Finance(*).
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 belong to two different categories: “structured” and “reading groups”. The structured courses offered by each curriculum are generally tool courses, which are formed by one or more self-contained parts of frontal lectures and classes. Conversely, the reading groups are built upon the research interests of the instructor, and they are typically articulated into an introductory lecture and a series of meetings where students critically discuss the readings assigned by the instructor during the initial lecture. The number of reading groups is generally wider than the number of structured courses.
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.
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.
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 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; (*) in alternative within a given curriculum.
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.
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.
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.
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 2019-20. 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 2019. The precise starting date of the Program will be announced in due course.
We offer at least 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 has been published in the Italian Official Journal (Gazzetta Ufficiale) after the acknowledgment issued by Italian Governmental agencies, during the period 14th May 2019 – 13th June 2019, 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 (period July 2019) of the entrance examination; iii) description of the projects related to the additional scholarships and positions.
| N. | SURNAME | NAME | UNIVERSITY/RESEARCH INSTITUTION | DEPARTMENT | CURRICULUM |
| 1 | ARBIA | Giuseppe | Cattolica del Sacro Cuore | Scienze Statistiche | Statistics |
| 2 | ATHANASOGLOU | Stergios | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 3 | BAILLIE | Richard | King's College London - Regno Unito | Economics | Economics |
| 4 | BEN-PORATH | Elchanan | The Hebrew University of Jerusalem - Israele | Economics | Economics |
| 5 | BINELLI | Chiara | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 6 | BOLLINO | Carlo Andrea | Perugia | Economia | Economics |
| 7 | BOSETTI | Valentina | Milano-Bocconi | Economia | Economics |
| 8 | CELLA | Michela | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 9 | COLCIAGO | Andrea | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 10 | CONSONNI | Guido | Cattolica del Sacro Cuore | Scienze Statistiche | Statistics |
| 11 | CRETI' | Anna | Paris-Dauphine University - Francia | Géopolitique de l'Energie et des Matières Premières | Economics |
| 12 | D'AMBROSIO | Conchita | University of Luxembourg - Lussemburgo | Lettres, Sciences Humaines, Arts et Sciences de l'Education | Economics |
| 13 | FARAVELLI | Marco | University of Queensland - Australia | Economics | Economics |
| 14 | GRESELIN | Francesca | Milano-Bicocca | Statistica e Metodi Quantitativi | Statistics |
| 15 | GUINDANI | Michele | University of California Irvine - Stati Uniti | Statistics | Statistics |
| 16 | HECQ | Alain | Maastricht University - Paesi Bassi | Economics | Economics |
| 17 | LOVAGLIO | Pietro Giorgio | Milano-Bicocca | Statistica e Metodi Quantitativi | Statistics |
| 18 | LUNARDON | Nicola | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Statistics |
| 19 | MANERA | Matteo | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 20 | MARCHESI | Silvia | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 21 | MCLACHLAN | Geoffrey | University of Queensland - Australia | Mathematics | Statistics |
| 22 | MENDOLA | Mariapia | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 23 | MICHELANGELI | Alessandra | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 24 | MIGLIORATI | Sonia | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Statistics |
| 25 | MORANA | Claudio | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 26 | MOSCONE | Francesco | Brunel University London - Regno Unito | Environment, Health and Societies | Statistics |
| 27 | MURPHY | Brendan | University College Dublin - Irlanda | Mathematics and Statistics | Statistics |
| 28 | NAIMZADA | Ahmad | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 29 | ONGARO | Andrea | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Statistics |
| 30 | OTTONE | Stefania | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 31 | PACI | Lucia | Cattolica del Sacro Cuore | Scienze Statistiche | Statistics |
| 32 | PAGANI | Laura | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 33 | PELAGATTI | Matteo | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Statistics |
| 34 | PELUSO | Stefano | Cattolica del Sacro Cuore | Scienze Statistiche | Statistics |
| 35 | PENNONI | Fulvia | Milano-Bicocca | Statistica e Metodi Quantitativi | Statistics |
| 36 | PIEVATOLO | Antonio | Consiglio Nazionale delle Ricerche (CNR) - Milano | Istituto di Matematica Applicata e Tecnologie Informatiche | Statistics |
| 37 | PORCU | Emilio | Newcastle University - Regno Unito | Mathematics, Statistics and Physics | Statistics |
| 38 | QUATTO | Piero | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Statistics |
| 39 | RIANI | Marco | Parma | Scienze Economiche e Aziendali | Statistics |
| 40 | SANTORO | Emiliano | University of Copenhagen - Danimarca | Economics | Economics |
| 41 | SCHARFSTEIN | Daniel | Johns Hopkins University - Stati Uniti | Bloomberg School of Public Health | Statistics |
| 42 | SOLARI | Aldo | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Statistics |
| 43 | STANCA | Luca | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 44 | TIRELLI | Patrizio | Milano-Bicocca | Economia, Metodi Quantitativi e Strategie di Impresa | Economics |
| 45 | VITTADINI | Giorgio | Milano-Bicocca | Statistica e Metodi Quantitativi | Statistics |
| 46 | ZITIKIS | Ricardas | University of Western Ontario - Canada | Statistics and Actuarial Sciences | Statistics |
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.
Faculty Presentation
On Tuesday 24th 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.
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
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
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)
I Term
The I term teaching activities start on 4 November 2019 and end on 20 December 2019. The I term exam session will be fixed in due course.
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)
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.