Robust Post-Matching Inference
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DOI: 10.1080/01621459.2020.1840383
Abstract: Nearest-neighbor matching is a popular nonparametric tool to create balance between treatment and control groups in observational studies. As a preprocessing step before regression, matching reduces the dependence on parametric modeling assumptions. In current empirical… read more here.
Keywords: post matching; regression; step; standard errors ... See more keywords
Standard Errors for Nonparametric Regression
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DOI: 10.1080/07474938.2020.1772563
Abstract: Abstract This paper proposes five pointwise consistent and asymptotic normal estimators of the asymptotic variance function of the Nadaraya-Watson kernel estimator for nonparametric regression. The proposed estimators are constructed based on the first-stage nonparametric residuals,… read more here.
Keywords: errors nonparametric; nonparametric regression; standard errors; regression ... See more keywords
Gravity models, PPML estimation and the bias of the robust standard errors
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DOI: 10.1080/13504851.2019.1581902
Abstract: ABSTRACT In gravity models with exporter and importer dummies, the robust standard errors of the slope parameters tend to be severely downward biased when estimated by PPML. The coverage rate of confidence intervals of the… read more here.
Keywords: ppml estimation; gravity models; standard errors; models ppml ... See more keywords
Efficient Standard Errors in Item Response Theory Models for Short Tests
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DOI: 10.1177/0013164419882072
Abstract: In dichotomous item response theory (IRT) framework, the asymptotic standard error (ASE) is the most common statistic to evaluate the precision of various ability estimators. Easy-to-use ASE formulas are readily available; however, the accuracy of… read more here.
Keywords: short tests; response theory; item response; standard errors ... See more keywords
Standard Errors of Kernel Equating: Accounting for Bandwidth Estimation
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DOI: 10.1177/01466216211066601
Abstract: In standardized testing, equating is used to ensure comparability of test scores across multiple test administrations. One equipercentile observed-score equating method is kernel equating, where an essential step is to obtain continuous approximations to the… read more here.
Keywords: bandwidth estimation; standard error; standard errors; kernel equating ... See more keywords
Tuberculosis in Prisons: Importance of Considering the Clustering in the Analysis of Cross-Sectional Studies
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DOI: 10.3390/ijerph20075423
Abstract: The level of clustering and the adjustment by cluster-robust standard errors have yet to be widely considered and reported in cross-sectional studies of tuberculosis (TB) in prisons. In two cross-sectional studies of people deprived of… read more here.
Keywords: tuberculosis prisons; studies tuberculosis; standard errors; cross sectional ... See more keywords