We propose a new identification strategy for the quadratic regression model with classical measurement error, based on higher-order moment conditions. Our novel approach contributes to the literature in two ways: by not requiring any side information (such as a known measurement-error variance,...

Whereas the literature on additive measurement error has known a considerable treatment, less work has been done for multiplicative noise. In this paper we concentrate on multiplicative measurement error in the covariates, which contrary to additive error not only modifies proportionally the...

We measure the impact of measurement error in labor-supply elasticities estimated over recalled usual work hours, as is ubiquitous in the literature. Employing hours of work in diaries collected by the American Time Use Survey, 2003-12, along with the same respondents' recalled usual hours, we...

This paper studies the identification of the coefficients in a linear equation when data on the outcome, covariates, and an error-laden proxy for a latent variable are available. We maintain that the measurement error in the proxy is classical and relax the assumption that the proxy is excluded...

Nonlinear regression with measurement error is important for estimation from microeconomic data. One approach to identification and estimation is a causal model, where the unobserved true variable is predicted by observable variables. This paper is about estimation of such a model using...

The three-step generalized methods of moments (GMM) approach of Kapoor, Kelejian and Prucha (2007), which corrects for spatially correlated errors in static panel data models, is extended by introducing fixed effects, a spatial lag, and a one-period lag of the dependent variable as additional...

Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...

We propose a measure of life satisfaction, alternative to the standard synthetic cognitive wellbeing question, based on the specic contribution of eleven life satisfaction sub-components (including satisfaction about the past, life opportunities, hope for the future, vitality, control over one's...

We propose a measure of life satisfaction, alternative to the standard synthetic cognitive wellbeing question, based on the specific contribution of eleven life satisfaction sub-components (including satisfaction about the past, life opportunities, hope for the future, vitality, control over...

We propose a measure of life satisfaction, alternative to the standard synthetic cognitive wellbeing question, based on the specific contribution of eleven life satisfaction sub-components (including satisfaction about the past, life opportunities, hope for the future, vitality, control over...