This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model. The quantile coupling allows one to apply the standard Gaussian-based estimation and inference to the transformed data set. The resulting estimator is asymptotically normal with a...

This paper shows the inconsistency of three forms of 2SLS estimators to illustrate the specialty of the endogeneity problem in threshold regression.

This paper illustrates that the generalized propensity score method can easily be applied with multiple continuous endogenous treatment variables. Consistency proofs carry over straightforwardly to this general case, and the approach is shown to work well in finite samples with various...

We provide two methods to compute the largest subset of a set of observations that is consistent with the Generalised Axiom of Revealed Preference. The algorithm provided by Houtman and Maks (1985) is not computationally feasible for larger data sets, while our methods are not limited in that...

Many promising efforts in the social sciences aim to measure future outcomes (such as wages or health outcomes) given some base level of human capital or ability. They typically fail to recognize the proxies for human capital are all measured with error, creating bias in regression analysis....

We study how estimators that are used to impute consumption in survey data are inconsistent due to measurement error in consumption. Previous research suggests instrumenting consumption to overcome this problem. We show that, if additional regressors are present, then instrumenting consumption...

This paper studies a simple dynamic linear panel regression model with interactive fixed effects in which the variable of interest is measured with error. To estimate the dynamic coefficient, we consider the least-squares minimum distance (LS-MD) estimation method.

We use longitudinal data from an Irish household survey to measure the union wage premium. A subsample in which the worker’s payslip was seen by the interviewer is unlikely to have measurement error for the union variable. The results support the finding that measurement error leads to a large...

We investigate the common assumption in applied research that reporting errors are negligible in variables where there is no clear incentive for misreporting. Using major medical operations, we find high misreporting rates, but the coefficients of their predictors remain unbiased.

Using short-run expenditures from household surveys as a proxy may create attenuated estimates of the impact of permanent income on economic outcomes. We use repeated observations to calculate reliability ratios and estimate errors in variables regressions of the impact of income on nutrition....