Similar Search Results - EconBiz

Bandwidth selection and the estimation of treatment effects with unbalanced data

Galdo, Jose C.; Smith, Jeffrey A.; Black, Dan A. - In: Annales d'économie et de statistique 91/92 (2008), pp. 189-216

Persistent link: https://www.econbiz.de/10009124917

Bandwidth selection and the estimation of treatment effects with unbalanced data

Galdo, Jose (contributor); Smith, Jeffrey A. (contributor); … - 2007

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

Persistent link: https://www.econbiz.de/10003561663

Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data

Galdo, José; Smith, Jeffrey A.; Black, Dan A. - 2021

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

Persistent link: https://www.econbiz.de/10013316785

Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data

Galdo, Jose; Smith, Jeffrey Andrew; Black, Dan - Institute for the Study of Labor (IZA) - 2007

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

Persistent link: https://www.econbiz.de/10005822100

Bandwidth selection and the estimation of treatment effects with unbalanced data

Galdo, Jose; Smith, Jeffrey A.; Black, Dan - 2007

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

Persistent link: https://www.econbiz.de/10010276772

Testing for cointegration: power versus frequency of observation - further Monte Carlo results

Otero, Jesús G.; Smith, Jeremy - In: Economics letters 67 (2000) 1, pp. 5-9

Persistent link: https://www.econbiz.de/10001463489

A Monte Carlo study of the forecasting performance of empirical SETAR models

Clements, Michael P.; Smith, Jeremy - In: Journal of applied econometrics 14 (1999) 2, pp. 123-141

Persistent link: https://www.econbiz.de/10001387355

The size and the power of unit roots tests against fractional alternatives : a Monte Carlo investigation

Yadav, Sanjay - 1994

Persistent link: https://www.econbiz.de/10000884449

A Monte Carlo comparison of OLS, IV, FIML, and Bootstrap standard errors in linear models with generated regressors

McAleer, Michael - 1990

Persistent link: https://www.econbiz.de/10000129164

A Monte Carlo study of the forecasting performance of empirical SETAR models

Clements, Michael P.; Smith, Jeremy - 1996

Persistent link: https://www.econbiz.de/10000597093

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