• Its aim is providing the students with an understanding of the historical stylized facts, causal determinants and evaluative techniques related to the (long-run) economic-growth experience of different sets of countries. The main analytical tool will be the study of continuous-time dynamical systems (optimal control). An introduction should be able to get the students acquainted with the successes and failures of different international organizations (IMF, World Bank,...) to adopt recent strategies of economic development, sometimes based on a "panacea" (like physical or human-capital investment, fertility reductions, debt relief,...) that resulted not to be like that, since its implementation did not respond to economic incentives. An overview of both neoclassical and endogenous-growth theory will follow, taking care of exploring the most recent explanations of the growth process at the world level and in the very long-run, often based on the non-rivalry of technological knowledge and endogenous fertility rates. Finally, a tentative topic will be related to the final demise of the class-struggle. This happened once human-capital became the scarce cumulative factor instead of physical capital, and entrepreneurial elites decided to equip workers with the necessary tools to get educated and, eventually, become themselves capitalists. (Galor and Moav)
  • This course will consider the special characteristics and challenges of transition in the post-communist countries. We will begin with macroeconomic issues such as stabilization and structural change in early transition, financial sector restructuring and banking crises, and lending booms, "catching-up" and overheating. After that, we will look at microeconomic issues of firm restructuring, privatization and labor markets in transition
  • This course addresses the theoretical and practical treatment of time series data. The time dimension of the data warrants a special treatment and analyses, where the application of conventional econometrics to such data generally produces false regressions and results. Various methods and solutions to these will be presented. New mathematical tools will be introduced, and the course will also introduce econometric theory for hypotheses testing in time-series data setting. We will use statistical software (Stata and/or Eviews) for practical examples and assignments.