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About PhD in Quantitative Methods for Economic Policy (MQPE)

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PhD Program in Quantitative  Methods for Economic Policy
at the University of Macerata

 

The University of Macerata offers a Ph.D. Program in Quantitative Methods for Economic Policy, targeted to motivated and skilled students in Economics, Statistics, Mathematics, Physiscs and the full range of Social Sciences, willing to acquire sound data science knowledge to be applied to real world social questions, from local to global issues. The Ph.D. Program is computationally intense, the use of programming languages (such as R) is compulsory as well as the use of specific software (such as Matlab and Stata) even if previous knowledge of programming is not considered as an entry barrier.

The courses are taught in English by highly qualified Professors, including outstanding guests lecturers from major international universities and research centres. Moreover, the Ph.D. students join an active research community of previous years students, junior and senior researchers and are asked to actively participate to regular seminars, organized by the Doctoral School or the University Departments involving academics of international reputation.
7 positions are available, including six positions with scholarships at standard Italian rates (EUR 15,300 per year; the amount is increased by 50% for training periods outside Italy).

 

The University of Macerata and the MQPE Ph.D. Program offers an interdisciplinary research environment and actively promotes anti-discriminatory practices and gender balance.
To have an impression of what we do, please go to the URL: http://ricerca.unimc.it/it/dottorato/ammissione/concorso/XXXIV

The MQPE Ph.D. Program is organized along three curricula:

 

The Ph.D. program is developed over three years:

  • first year of courses, seminars and exams common to all curricula and aimed at teaching advanced topics in quantitative methods. Strong emphasis is on applications to different economic policy contexts and on the replication of well known contributions in the scientific literature on economic policy analysis. In particular, the courses will start with a series of tutorials on Data analysis and visualization with R; introduction to Stata; programming with Matlab.
  • second year of international research and training, mainly spent in international institutions associated to the Program (with an increase of 50% for the research scholarship amount).
  • a third year of research activity for completing the Ph.D. thesis.

The Ph.D. professors offer supervision on a wide range of topics, with particular strengths in graph theory and network analysis, sparse graphical models, input-output analysis, computable general equilibrium models, computational methods for macro and microeconomics, agent-based economic modeling, dynamic systems in economics and finance, mixture regression models and hidden Markov models, statistical methods for policy evaluation and causal inference in observational studies.