This paper studies measuring the average effects ß of X on Y in a structural system with random coeffi cients and confounding. We do not require (conditionally) exogenous regressors …
K Chalak - V Boston College Department of Economics …, 2010 - economics.ucr.edu
۲ ارجاع2010
The method of indirect least squares (ILS) using a proxy for a discrete instrument is shown to identify a weighted average of local treatment effects. The weights are nonnegative if and …
This paper demonstrates the extensive scope of an alternative to standard instrumental variables methods, namely covariate&based methods, for identifying and es& timating effects of …
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Parametric and nonparametric estimation of covariate-conditioned average causal effects
H White, K Chalak - University of California San Diego Department of …, 2006 - Citeseer
K Chalak, H White - UCSD Department of Economics discussion paper, 2007 - kchalak.com
۱۰ ارجاع2007
We study the structural identification of causal effects with conditioning instruments within the settable system framework. In particular, we provide causal and predictive conditions …
This note examines the robustness of two quantile treatment effect estimands to a perturbation away from the common effect assumption. The first estimand Q Y 1 − Y 0 ( τ ) is the τ -…
Endogeneity and simultaneity have been at the heart of econometrics since the 1930’s–40’s.“Simultaneity” refers to the case in which the econometric model simultaneously determines …
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Higher order moments for differential measurement error, with application to Tobin'sq and corporate investment
K Chalak, D Kim - SSRN Electronic Journal, https://api. semanticscholar …, 2024
K Chalak, D Kim - Available at SSRN 4176998, 2022 - papers.ssrn.com
۱ ارجاع4176
Local governments often seek credit ratings from multiple agencies for external financing. Rating shopping and catering, the incentives of the rating agencies, and the career incentives …
K Chalak - Journal of Econometrics, 2024 - Elsevier
۳ ارجاع2024
The Gini-Frisch bounds partially identify the constant slope coefficient in a linear equation when the explanatory variable suffers from classical measurement error. This paper …