This paper fixes size distortions of tests for structural parameters in the simultaneous equations model by computing critical value functions based on the conditional distribution of test statistics. The conditional tests can then be used to construct informative confidence regions for the...

In this paper, we propose a fix to the size distortions of tests for structural parameters in the simultaneous equations model by computing critical value functions based on the conditional distribution of test statistics. The conditional tests can then be used to construct informative...

The nlsur command is better suited to demand-system estimation than the suite of ado-fifies provided in Poi (2002, Stata Journal 2: 403–410) because it is faster and requires only one ancillary ado-file. This article replicates the results presented in Poi (2002) by using nlsur instead of ml.

This article provides an example illustrating how to use Stata to estimate systems of household demand equations. More generally,the techniques developed here can be used to estimate any system of nonlinear equations using Stata's maximum likelihood routines. Copyright 2002 by Stata Corporation.

The two-stage least-squares (2SLS) instrumental variables estimator is commonly used to address endogeneity. However, the estimator suffers from bias that is exacerbated when the instruments are only weakly correlated with the en- dogenous variables and when many instruments are used. In this...

We consider inference in the linear regression model with one endoge- nous variable and potentially weak instruments. We construct confidence sets for the coefficient on the endogenous variable by inverting the Anderson-Rubin, Lagrange multiplier, and conditional likelihood-ratio tests. Our...

This article discusses the Swamy (1970) random-coefficients model and presents a command that extends Stata's xtrchh command by also providing estimates of the panel-specific coefficients. Copyright 2003 by StataCorp LP.

Previously, to fit an almost-ideal demand system in Stata, one would have to use the nlsur command and write a function evaluator program as described in [R] nlsur and Poi (2008, Stata Journal 8: 554–556). In this article, I introduce the command quaids, which obviates the need for any...

A key issue in the estimation of production functions is the correlation between unobservable productivity shocks and input levels. Profit-maximizing firms respond to positive productivity shocks by expanding output, which requires additional inputs. Negative shocks lead firms to pare back...