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Missing data, imputation, and endogeneity

McDonough, Ian K.; Millimet, Daniel L. - In: Journal of econometrics 199 (2017) 2, pp. 141-155

Persistent link: https://www.econbiz.de/10011897665

Missing data, imputation, and endogeneity

McDonough, Ian K.; Millimet, Daniel L. - 2016

when data on the endogenous covariate is missing for some observations. Many such imputation techniques have been proposed … decreasing in the degree of measurement accuracy, the most accurate imputation method is not necessarily the method that … minimizes the bias of 2SLS. Instead, we explore imputation methods designed to increase the first-stage strength of the …

Persistent link: https://www.econbiz.de/10011594466

Missing Data, Imputation, and Endogeneity

McDonough, Ian - 2017

Persistent link: https://www.econbiz.de/10012966959

Educational Impacts and Rising Inequality in the Us

Millimet, Daniel L.; Slottje, Daniel J.; Yitzhaki, Shlomo; … - 2003

This study integrates two bodies of work to explore how changes in human capital have impacted the distribution of household permanent income. Introducing a human capital accumulation model, a framework is established - utilizing the special properties of the Gini coefficient - which maps...

Persistent link: https://www.econbiz.de/10014084869

Missing Data, Imputation, and Endogeneity

McDonough, Ian K.; Millimet, Daniel L. - 2016

Persistent link: https://www.econbiz.de/10011653130

Remotely incorrect? : accounting for nonclassical measurement error in satellite data on deforestation

Alix Garcia, Jennifer M.; Millimet, Daniel L. - In: Journal of the Association of Environmental and … 10 (2023) 5, pp. 1335-1367

Persistent link: https://www.econbiz.de/10014385035

Embrace the noise : it is OK to ignore measurement error in a covariate, sometimes

Dong, Hao; Millimet, Daniel L. - 2023

In linear regression models, measurement error in a covariate causes Ordinary Least Squares (OLS) to be biased and inconsistent. Instrumental Variables (IV) is a common solution. While IV is also biased, it is consistent. Here, we undertake an asymptotic comparison of OLS and IV in the case...

Persistent link: https://www.econbiz.de/10014388449

Food security dynamics and measurement error

McDonough, Ian K.; Millimet, Daniel L. - In: American journal of agricultural economics 106 (2024) 5, pp. 1714-1744

Persistent link: https://www.econbiz.de/10015166713

Partial identification of economic mobility : with an application to the United States

Millimet, Daniel L.; Li, Hao; Roychowdhury, Punarjit - 2019

The economic mobility of individuals and households is of fundamental interest. While many measures of economic mobility exist, reliance on transition matrices remains pervasive due to simplicity and ease of interpretation. However, estimation of transition matrices is complicated by the...

Persistent link: https://www.econbiz.de/10011972716

Propensity score weighting with mismeasured covariates: an application to two financial literacy interventions

Dong, Hao; Millimet, Daniel L. - 2020

Estimation of the causal effect of a binary treatment on outcomes often requires conditioning on covariates to address selection on observed variables. This is not straightforward when one or more of the covariates are measured with error. Here, we present a new semi-parametric estimator that...

Persistent link: https://www.econbiz.de/10012316918