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From late to MTE : alternative methods for the evaluation of policy interventions

Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - 2016

This paper provides an introduction into the estimation of Marginal Treatment Effects (MTE). Compared to the existing … econometric techniques who would like to use MTE estimation. Our framework of analysis is a generalized Roy model based on the … discuss MTE estimation as an alternative and more informative way of exploiting a continuous instrument. We clarify the …

Persistent link: https://www.econbiz.de/10011499992

From late to MTE : alternative methods for the evaluation of policy interventions

Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - 2016

Persistent link: https://www.econbiz.de/10011502829

From LATE to MTE : alternative methods for the evaluation of policy interventions

Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - In: Labour economics : official journal of the European … 41 (2016), pp. 47-60

Persistent link: https://www.econbiz.de/10011703401

On heckits, LATE, and numerical equivalence

Kline, Patrick; Walters, Christopher R. - 2018

Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates...

Persistent link: https://www.econbiz.de/10011825221

Regression Discontinuity Design with Continuous Measurement Error in the Running Variable

Davezies, Laurent - 2017

Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non … variable and its noisy measure is observed in an auxiliary sample of treated individuals, and when there are treated … individuals at any value of the true running variable - two-sided fuzzy designs. We apply our method to estimate the effect of …

Persistent link: https://www.econbiz.de/10012955015

The Devil is in the Tails : Regression Discontinuity Design with Measurement Error in the Assignment Variable

Pei, Zhuan - 2016

when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error … assignment variable may disappear. Therefore, the presence of measurement error in the assignment variable poses a challenge to … assignment variable, the treatment status and the outcome variable are observed. We prove identification separately for discrete …

Persistent link: https://www.econbiz.de/10012979862

Chapter 7. Endogeneity in Empirical Corporate Finance 1

Roberts, Michael R.; Whited, Toni M. - 2013

This chapter discusses how applied researchers in corporate finance can address endogeneity concerns. We begin by reviewing the sources of endogeneity—omitted variables, simultaneity, and measurement error—and their implications for inference. We then discuss in detail a number of...

Persistent link: https://www.econbiz.de/10014025557

Measuring evidence for mediation in the presence of measurement error

Laghaie, Arash; Otter, Thomas - In: Journal of marketing research 60 (2023) 5, pp. 847-869

Persistent link: https://www.econbiz.de/10014384287

Standard errors for regression-based causal effect estimates in economics using numerical derivatives

Terza, Joseph Vincent - In: Computational economics 65 (2025) 1, pp. 69-89

Persistent link: https://www.econbiz.de/10015195757

Estimation of relative average treatment effects with misclassification

Fu, Lianyan; Wei Gao; Shi, Ning-zhong - In: Economics letters 111 (2011) 1, pp. 95-98

Persistent link: https://www.econbiz.de/10009241325