PhD Studies

Department of Econometric offers a PhD study program in Econometrics and Operations Research, both in internal and external form. The program is designed for four years. The program focuses on advanced topics in the area and its main aim is solving both practical and theoretical issues at the most up-to-date level of knowledge. The particular areas of research within the PhD program include (but are not limited to):

Operations Research:
  • optimization and management of business, production and logistics
  • optimization of inventory flows, cargo and fleet management
  • game theory, auctions, modeling of conflicts and negotiation
  • modeling of market structures (oligopoly theory, supply chains etc.)
  • simulation techniques in business management
  • measurement of efficiency and Data Envelopment Analysis
  • empirical studies for financial sector, public sector, business and industry
  • effective implementation, parallel and distributed computation of large-scale optimization models
  • mathematics for Operations Research models
  • macroeconometrics and microeconometrics
  • sector econometrics (energy economectrics, labor econometrics etc.),
  • financial econometrics, financial time series, high-frequency data
  • spatial econometrics and geographic economic relations
  • scoring and risk management in banking
  • macroeconomic policy, policy evaluation, sensitivity to shocks
  • econometric theory, model selection, estimation, model diagnostics, asymptotics
  • empirical studies for financial sector, public sector, business and industry

Some of the recently defended PhD theses cover the areas of prediction of demand in telecommunication industry, credit scoring via parametric and data-mining approaches, analysis of relations between global and local prices of fuels, vector-valued games, estimation of GAS models (as a generalization of GARCHs) and others.

The current PhD team works on the following projects (supported by the Internal Grant Agency of the faculty): Analysis of high-frequency financial data and data streams, Transmission of information in financial market in turbulence times: Asymmetric tail dependence, Modern approaches to indetermination and uncertainty in statistical and optimization models, High-frequency data in financial markets: Estimation under the presence of microstructure noise, Migration effects on the labor market: applications of spatial econometric models, Models of Data Envelopment Analysis in economic decision making, and other projects. The PhD candidate is assumed to propose her/his own project with the support of both the junior and senior staff of the Department.

 A PhD candidate is expected to have a strong interest in a particular problem related to Econometrics and/or Operations Research, either in theory, empirical work or in practice. The background from her/his M.A. program is assumed to be in economics, mathematics or computer science (all mentioned areas are understood in a broad sense). Candidates with a different but related background (for example: public policy, healthcare management etc.) are welcome as well.