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Call for application for PhD programmes a.y. 2017/2020

Deadline: 22nd August 2017
PhD programmes a.y. 2017/2020

PhD programmes a.y. 2017/2020

The University of Macerata announces a call for applications for the PhD program in QUANTITATIVE METHODS FOR ECONOMIC POLICY (METODI QUANTITATIVI PER LA POLITICA ECONOMICA). The University of Macerata is looking for 7 excellent candidates (6 fully funded PhD opportunities and 1 unfunded opportunity).

Quantitative Methods for Economic Policy is an interdisciplinary Ph.D. Program at the crossroads of Economics, Economic Policy and Mathematical and Statistical Sciences, at a time when quantitative methods are fundamental in the economic policy analysis. Moreover, the Ph.D. program aims at facing subject at the economic science frontier and interconnected to other sciences (for instance physics and computer science), such as network analysis and data mining methods. The Ph.D. program merges theoretical aspects with empirical applications developed using technical software.

The courses are taught by high quality professors, including outstanding guests lecturers from major international universities. Moreover, the Ph.D. students join an active research community and participate in regular seminars, hosted by academics of international reputation, and workshops.


Our doctoral program

The Ph.D. is structured in three curricula:

  • Multisectoral and Computational Methods of Analysis for Economic Policy
  • Mathematical and Statistical Methods for Economic Policy
  • Network Analysis and Online Data Mining Methods for Economic Policy


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

  • a first year of courses, seminars and exams common to all curricula and aimed at teaching advanced topics in economics and quantitative subjects. Strong emphasis is on methods, on applications to different economic policy context – from the local to the international – 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.
  • a second and a third year of research activity for completing the Ph.D. thesis, with the possibility to spend a period in international universities (with an increase of 30% for the research scholarship amount).


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


How to apply

Applications may be submitted either in Italian or in English online only at, no later than 22nd August 2017 at 2:00 pm (official time in Italy).


More information

Macerata is a quiet and lively town in the Center of Italy; half an hour from the sea and one hour from the Appennini mountains and the Gran Sasso. Landscape in the surroundings is just amazing. Rome is reachable by train or by car. The University of Macerata offers housing facilities and support for international and national students. Being a University town, the cultural life of Macerata offers a rich range of events from classical music, to Jazz, to theater.

The call, with further information, is available at the website:


For queries:


Concorso per l'ammissione ai corsi di Dottorato di ricerca

L'Università di Macerata ha pubblicato il bando per l'ammissione ai corsi di Dottorato di ricerca del ciclo 33° (aa.aa. 2017/2020).


  • Metodi di analisi multisettoriale e computazionale per la politica economica
  • Metodi matematici e statistici per la politica economica
  • Metodi di Network Analysis e online data mining per la politica economica


La domanda di partecipazione dovrà essere inviata tramite procedura on line entro le ore 14:00 del 22 agosto 2017.