Nonparametric and Semiparametric Methods in Econometrics and Statistics.

Margarida Genius; William A. Barnett; James Powell; George E. Tauchen

doi:10.2307/2291296

Nonparametric and Semiparametric Methods in Econometrics and Statistics.

Journal of the American Statistical Association ◽

10.2307/2291296 ◽

1993 ◽

Vol 88 (424) ◽

pp. 1468 ◽

Cited By ~ 1

Author(s):

Margarida Genius ◽

William A. Barnett ◽

James Powell ◽

George E. Tauchen

Keyword(s):

Semiparametric Methods

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Semiparametric methods for incomplete longitudinal count data with an application to health and retirement study

Journal of Applied Statistics ◽

10.1080/02664763.2021.1951684 ◽

2021 ◽

pp. 1-23

Author(s):

Seema Zubair ◽

Sanjoy K. Sinha

Keyword(s):

Count Data ◽

Health And Retirement Study ◽

Semiparametric Methods ◽

Longitudinal Count Data ◽

Retirement Study

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Semiparametric methods for estimation of a nonlinear exposure-outcome relationship using instrumental variables with application to Mendelian randomization

Genetic Epidemiology ◽

10.1002/gepi.22041 ◽

2017 ◽

Vol 41 (4) ◽

pp. 341-352 ◽

Cited By ~ 33

Author(s):

James R. Staley ◽

Stephen Burgess

Keyword(s):

Instrumental Variables ◽

Mendelian Randomization ◽

Semiparametric Methods ◽

Outcome Relationship

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Bandwidth-Dependent Semiparametric Methods

Micro-Econometrics ◽

10.1007/b60971_9 ◽

2008 ◽

pp. 441-530

Author(s):

Myoung-jae Lee

Keyword(s):

Semiparametric Methods

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Semiparametric methods in applied econometrics: do the models fit the data?

Statistical Modelling ◽

10.1191/1471082x02st024oa ◽

2002 ◽

Vol 2 (1) ◽

pp. 3-22 ◽

Cited By ~ 12

Author(s):

Joel L Horowitz ◽

Sokbae Lee

Keyword(s):

Applied Econometrics ◽

Semiparametric Methods

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