international econometric journal
in Russian language
The essay contains a short survey of methods used for estimation of average treatment effects, when the independent variable of interest is binary.
This essay discusses the issues of identification and estimation of the average treatment effect and the average effect of treatment on the treated.
This article provides an overview of difference-in-differences estimation, starting with a review of the basic methodology, discussing in some detail recent advances in inference, and concluding with new methods for estimating treatment effects in various nonlinear and semiparametric models.
This expository note gives an overview of model specifications, likelihood functions and a structure of maximum likelihood problems for discrete choice and censoring models. One part deals with estimation in a single equation case with unidimensional (cross-sectional) observations. Another part extends the framework to a two-equation case. The last part is concerned with an extension to a panel data situation.
We give thematically arranged lists of useful websites where an empirical economist can find data for research.
We derive the second order asymptotic bias for a statistic evaluating the quality of out-of-sample forecasts by parametric models. The existing literature admits that the quality of the first order asymptotic approximation may be unsatisfactory. We find that the second order asymptotic bias allows one to explain insufficient precision of the asymptotic approximation. Simulations confirm the obtained analytical results.