On the Estimation of Causality in a Bivariate Dynamic Probit Model on Panel Data with Stata Software: A Technical Review

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ISSN Print: 2162-2078
ISSN Online: 2162-2086
www.scirp.org/journal/tel
E-mail: tel@scirp.org

"On the Estimation of Causality in a Bivariate Dynamic Probit Model on Panel Data with Stata Software: A Technical Review"
written by Richard Moussa, Eric Delattre,
published by Theoretical Economics Letters, Vol.8 No.6, 2018

has been cited by the following article(s):

[1]	Simultaneous Equations Model with Non-Linear and Linear Dependent Variables on Panel Data
	2020

[2]	L'impact du chômage sur l'état de santé
	2019

[3]	Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey
	2019

[4]	Heteroskedasticity in One-Way Error Component Probit Models
	2019

[5]	Santé, revenu et caractéristiques individuelles: trois applications microéconométriques sur les Européens âgés
	2018

[1]	L’impact du chômage sur l’état de santé Revue économique, 2020 DOI:10.3917/reco.715.0815

[2]	L’impact du chômage sur l’état de santé Revue économique, 2020 DOI:10.3917/reco.715.0815

[3]	Heteroskedasticity in One-Way Error Component Probit Models Econometrics, 2019 DOI:10.3390/econometrics7030035

[4]	Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey Health Economics Review, 2019 DOI:10.1186/s13561-019-0220-3

[5]	Heteroskedasticity in One-Way Error Component Probit Models Econometrics, 2019 DOI:10.3390/econometrics7030035

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