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The econometrics of unobservables : applications of measurement error models in empirical industrial organization and labor economics

Hu, Yingyao - In: Journal of econometrics 200 (2017) 2, pp. 154-168

Persistent link: https://www.econbiz.de/10011917160

Heterogeneity of farm loan packaging term decisions : a finite mixture approach

Dhakal, Chandra K.; Escalante, Cesar L.; Dodson, Charles B. - In: Applied economics letters 26 (2019) 18, pp. 1528-1532

Persistent link: https://www.econbiz.de/10012204835

Bias-free nonparametric estimation of intra-day trade activity measures

Grammig, Joachim; Hujer, Reinhard; Kokot, Stefan - 2000

Persistent link: https://www.econbiz.de/10001517885

Nonparametric density estimation from biased data with unknown biasing function

Lloyd, Christopher J.; Jones, M. C. - 1999

Persistent link: https://www.econbiz.de/10001436017

A bias-reduced log-periodogram regression estimator for the long-memory parameter

Andrews, Donald W. K.; Guggenberger, Patrik - 2000

Persistent link: https://www.econbiz.de/10001492115

Asymptotic bias and optimal convergence rates for semiparametric Kernel estimators in the regression discontinuity model

Porter, Jack (contributor) - 2002 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001828754

A bias reduced log-periodogram regression estimator for the long-memory parameter

Andrews, Donald W. K.; Guggenberger, Patrik - In: Econometrica : journal of the Econometric Society, an … 71 (2003) 2, pp. 675-712

Persistent link: https://www.econbiz.de/10001750449

Twicing kernels and a small bias property of semiparametric estimators

Newey, Whitney K.; Hsieh, Fushing; Robins, James M. - In: Econometrica : journal of the Econometric Society, an … 72 (2004) 3, pp. 947-962

Persistent link: https://www.econbiz.de/10002095870

A New Non-Parametric Matching Method for Bias Adjustment with Applications to Economic Evaluations

Sekhon, Jasjeet S.; Grieve, Richard - 2008

In health economic studies that use observational data, a key concern is how to adjust for imbalances in baseline covariates due to the non-random assignment of the programs under evaluation. Traditional methods of covariate adjustment such as regression and propensity score matching are model...

Persistent link: https://www.econbiz.de/10014217793

A Bayesian Nonparametric Test of Significance-Chasing Biases

Karabatsos, George - 2017

this approach by developing a Bayesian nonparametric (BNP) meta-regression model and test of SC bias, which can diagnose … bias at the individual study level. This new BNP test is based on a flexible model of the predictive distribution of study … effect sizes across studies. A test of SC bias proceeds by comparing each study's significant outcome report indicator …

Persistent link: https://www.econbiz.de/10012949630