In the process of implementing market reforms, many post-socialist countries have struggled to preserve economic and political integration. Using a statistical model of commodity trade, we quantify the evolution of economic integration observed among regions within Russia during 1995-1999, and...

Working with 110 pairs of time series of state and market commodity prices in Russia, we search for signs of transition in Russia from a command to a market economy. Beginning with inter-city comparisons of state and market prices, we find that differences in the levels of these prices have...

In pursuit of its transition from a command to a market economy, post-Soviet Russia has witnessed enormous regional differences in economic growth rates. Moreover, the economic reforms implemented under this transition, while initiated at the federal level, have also differed markedly across...

A growing body of national-level survey evidence indicates that small-scale entrepreneurial activity has been an important engine of growth in post-socialist economies. Here we use a rich regional data set to obtain a statistical characterization of the relationship between entrepreneurial...

The first chapter of my thesis (co-authored with David N. DeJong, Jean-Francois Richard and Roman Liesenfeld) develops a numerical procedure that facilitates efficient likelihood evaluation and filtering in applications involving non-linear and non-Gaussian state-space models. These tasks...

A number of recent papers using a linear specification have indicated that private property institutions are a fundamental determinant of growth. In my first paper, I use a semi-nonparametric partially linear model to provide evidence against a linear specification and to support nonlinearities...

This dissertation consists of three empirical chapters. The first chapter examines the extent to which real-world agents are rational in making quantitative expectations, an issue over which there is much debate. In this chapter dynamic models for new plant-level survey data are estimated in...

This dissertation consists of the three independent chapters in the areas of Public Economics and Microeconomic Theory. The first two chapters use experimental and computational techniques to address two important behavioral issues in Public Economics. In particular, the first chapter (with Lise...

First chapter of my dissertation uses an EGARCH method and a Stochastic Volatility (SV) method which relies upon Markov Chain Monte Carlo (MCMC) framework based on Efficient Importance Sampling (EIS) to model inflation volatility of Turkey. The strength of SV model lies in its success in...