Research methods

Motivated by several interesting features of the highway mowing auction data from the Texas Department of Transportation (TDoT), we study three competing procurement auction models with endogenous entry.

We provide a tractable characterization of the sharp identification region of the parameters θ in a broad class of incomplete econometric models.

The FORTAX project is centered around the development of the FORTAX library, a micro-simulation tax library programmed in Fortran.

This paper is concerned with inference about a function <i>g</i> that is identified by a conditional quantile restriction involving instrumental variables.

This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (&Theta;) and unknown functions (h)of endogenous variables.

The authors show that these estimates can always be improved with no harm using rearrangement techniques.

For a simplified structural equation/IV regression model with one right-side endogenous variable, we obtain the exact conditional distribution function for Moreira's (2003) conditional likelihood ratio (CLR) test

We study a mixed hitting-time (MHT) model that specifies durations as the first time a Levy process - a continuous-time process with stationary and independent increments - crosses a heterogeneous threshold.

In this paper we examine the implications of the statistical large sample theory for the computational complexity of Bayesian and quasi-Bayesian estimation carried out using Metropolis random walks.

The behaviour of the permanent and transitory economic shocks for different levels of households' welfare is studied using both consumption and income measures.

This paper extends Imbens and Manski's (2004) analysis of confidence intervals for interval identified parameters.

This paper considers identification and estimation of a nonparametric regression model with an unobserved discrete covariate.

This paper examines the strengths and weaknesses of detailed spending data, collected in surveys of households using barcode scanners.