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Examining omitted variable bias in anchoring premium estimates : evidence based on assessed value

Zhou, Tingyu; Clapp, John M.; Lu-Andrews, Ran - In: Real estate economics 50 (2022) 3, pp. 789-828

Persistent link: https://www.econbiz.de/10013275935

Omitted Variable Bias of Lasso-Based Inference Methods : A Finite Sample Analysis

Wuthrich, Kaspar - 2020

We study the finite sample behavior of Lasso-based inference methods such as post double Lasso and debiased Lasso. Empirically and theoretically, we show that these methods can exhibit substantial omitted variable biases (OVBs) due to Lasso not selecting relevant controls. This phenomenon can be...

Persistent link: https://www.econbiz.de/10012849415

Are Ols Estimates of the Return to Schooling Biased Downward? Another Look

Blackburn, McKinley L.; Neumark, David - 2021

We examine evidence on omitted-ability bias in estimates of the economic return to schooling, using proxies for …

Persistent link: https://www.econbiz.de/10013246252

Time-invariant regressors under fixed effects : simple identification via a proxy variable

Bělín, Matěj - In: Economics letters 186 (2020), pp. 1-4

Persistent link: https://www.econbiz.de/10012500400

Econometrics illustrated, with applications from insurance-research awards

Butler, Richard - In: Asia-Pacific journal of risk and insurance : APJRI 11 (2017) 2, pp. 1-21

Persistent link: https://www.econbiz.de/10011671234

When can we determine the direction of omitted variable bias of OLS estimators?

Basu, Deepankar - 2018

Omitted variable bias (OVB) of OLS estimators is a serious and ubiquitous problem in social science research. Often … researchers use the direction of the bias in substantive arguments or to motivate estimation methods to deal with the bias. This … setting and cautions against the use of direction-of-bias arguments. This analysis has implications for comparison of OLS and …

Persistent link: https://www.econbiz.de/10011946977