Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Standard

Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors. / Holm, Anders; Arendt, Jacob Nielsen.

I: Journal of Statistical Computation and Simulation, 06.02.2012, s. 1-23.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Holm, A & Arendt, JN 2012, 'Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors', Journal of Statistical Computation and Simulation, s. 1-23.

APA

Holm, A., & Arendt, J. N. (2012). Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors. Journal of Statistical Computation and Simulation, 1-23.

Vancouver

Holm A, Arendt JN. Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors. Journal of Statistical Computation and Simulation. 2012 feb. 6;1-23.

Author

Holm, Anders ; Arendt, Jacob Nielsen. / Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors. I: Journal of Statistical Computation and Simulation. 2012 ; s. 1-23.

Bibtex

@article{4302a849c8794fb0869f76e1ce9054af,
title = "Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors",
author = "Anders Holm and Arendt, {Jacob Nielsen}",
year = "2012",
month = feb,
day = "6",
language = "English",
pages = "1--23",
journal = "Journal of Statistical Computation and Simulation",
issn = "0094-9655",
publisher = "Taylor & Francis",

}

RIS

TY - JOUR

T1 - Evaluating the Performance of Simple Estimators for Probit Models with two Dummy Endogenous Regressors

AU - Holm, Anders

AU - Arendt, Jacob Nielsen

PY - 2012/2/6

Y1 - 2012/2/6

M3 - Journal article

SP - 1

EP - 23

JO - Journal of Statistical Computation and Simulation

JF - Journal of Statistical Computation and Simulation

SN - 0094-9655

ER -

ID: 44258660