This paper proposes a new nonparametric estimator for general regression functions with multiple regressors. The method used here is motivated by a remarkable result derived by Kolmogorov (1957) and later tightened by Lorentz (1966). In short, they show that any continuous function of multiple...

We examine market volatility across an automated periodic auction mechanism and a continuous automated auction, using data on five futures contracts traded on the GLOBEX trading system. The analysis is supplemented by a comparison of the periodic market with floor trading. Our data permit...

In this paper, we consider expectations of the form E[log(y)|x] = a'log(x) as a good starting point for a more general analysis. We show why this naturally leads to the following flexible functional form E[y|x] = f(h(x)), where all functions are estimated by cubic splines. One of the main goals...

Almost all economic data sets are discretized or rounded to some extent. This paper proposes a regression and a density estimator that work especially well when the data is very discrete. The estimators are a weighted average of the data, and the weights are composed of cubic B-splines. Unlike...

We ask whether foreign equity ownership affects the stability of information signals that are absorbed into prices in an emerging economy. We address both the effect of ownership restrictions exogenously imposed on stock ownership and the impact of introducing or widening foreign ownership...

The fixed parameters of the nonlinear mixed effects model and the density of the random effects are estimated jointly by maximum likelihood. The density of the random effects is assumed to be smooth but is otherwise unrestricted. The method uses a series expansion that follows from the...

The SNP estimator is the most convenient nonparametric method for simultaneously estimating the parameters of a nonlinear model and the density of a latent process by maximum likelihood. To determine if this convenience comes at a price, we assess the qualitative behavior of SNP in finite...

Efficient Method of Moments (EMM) is used to fit the standard stochastic volatility model and various extensions to several daily financial time series. EMM matches to the score of a model determined by data analysis called the score generator. Discrepancies reveal characteristics of data that...

This paper summarizes comments at the Panel Discussion on Calibration at the Seventh World Congress of the Econometric Society, Keio University, Tokyo, Japan, 22-29 August 1995.