Similar Search Results - EconBiz

Resurgence of the endogeneity-backed instrumental variable methods

Qin, Duo - 2015

This paper investigates the nature of the IV method for tackling endogeneity. By tracing the rise and fall of the method in macroeconometrics and its subsequent revival in microeconometrics, it pins the method down to an implicit model respecification device-breaking the circular causality of...

Persistent link: https://www.econbiz.de/10010485645

Modified instruments: an iterative process for reducing endogeneity bias using large samples

Ronderos Pulido, Nicolás - 2022

Persistent link: https://www.econbiz.de/10013263145

Confidence intervals for bias and size distortion in IV and local projections-IV models

Ganics, Gergely; Inoue, Atsushi; Rossi, Barbara - 2018

Persistent link: https://www.econbiz.de/10012005789

An alternative approach for introducing instrumental variables based on ordinary least squares omitted variable bias

Keefer, Quinn A. W. - In: The journal of economic education : JEE 54 (2023) 1, pp. 94-101

Persistent link: https://www.econbiz.de/10013492838

Bias-corrected instrumental variable estimation in linear dynamic panel data models

Chen, Weihao; Čížek, Pavel - 2023

Persistent link: https://www.econbiz.de/10014427624

Controls, not shocks : estimating dynamic causal effects in macroeconomics

Lloyd, Simon; Manuel, Ed - 2024

Persistent link: https://www.econbiz.de/10014529266

Can we make smart chices between OLS and contaminated IV methods?

Basu, Anirban; Chan, Kwun Chuen Gary - In: Health economics 23 (2014) 4, pp. 462-472

Persistent link: https://www.econbiz.de/10011304902

Bias in instrumental-variable estimators of fixed-effect models for count data

Jochmans, Koen; Weidner, Martin - 2021 - This version: October 29, 2021

Persistent link: https://www.econbiz.de/10012698513

Many (weak) judges in judge-leniency designs

Jochmans, Koen - 2023 - This version: October 10, 2023

Persistent link: https://www.econbiz.de/10014383414

Bias from censored regressors

Rigobón, Roberto; Stoker, Thomas Martin - In: Journal of business & economic statistics : JBES ; a … 27 (2009) 3, pp. 340-353

Persistent link: https://www.econbiz.de/10003893879

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