We numerically evaluate asymptotic variances and biases of various method-of-moments estimators in the Hansen-Singleton model calibrated to real data. Inspection of resulting figures leads to a conclusion that applied researchers do not always form instrument sets judiciously.

This paper studies the asymptotic validity of the Anderson-Rubin (AR) test and the J test of overidentifying restrictions in linear models with many instruments. When the number of instruments increases at the same rate as the sample size, we establish that the conventional AR and J tests are...

We extend the idea of the trade-off window approach by Pesaran and Timmermann (2007) of using observations preceding the last structural break to estimate model parameters for the purpose of forecasting. Our weighted least squares method utilizes information in all observations but with weights...

We propose and evaluate a technique for instrumental variables estimation of linear models with conditional heteroskedasticity. The technique uses approximating parametric models for the projection of right hand side variables onto the instrument space, and for conditional heteroskedasticity and...

We study three aspects of the Russian stock market – factors influencing stock returns, integration of the stock market with world .financial markets, and market efficiency – from 1995 to present, putting emphasis on how these evolved over time. We .find many highly unstable relationships,...

The distribution and evolution of intertrade durations for frequently traded stocks at the Moscow Interbank Currency Exchange are investigated. A flexible econometric model based on ARMA and GARCH is used which, when coupled with a certain class of distributions that allow for skewness and...

We propose a bootstrap algorithm for autoregressions based on the approximation of the data generating process by a finite state discrete Markov chain. We discover a close connection of the proposed algorithm with existing bootstrap resampling schemes, run a small Monte-Carlo experiment, and...

This essay briefly surveys optimal instrumentation in linear and nonlinear models, both cross-sectional and stationary time series. Examples of judicious construction of instruments are given.

We consider a multivariate dynamic model for the joint distribution of binary outcomes associated with directions-of-change for several markets or assets. The marginal distribution of each binary outcome follows a dynamic binary choice model, while the association structure is parameterized via...