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Testing Identifying Assumptions in Bivariate Probit Models ..:

Acerenza, Santiago ; Bartalotti, Otavio ; Kedagni, Desire
URL: https://journaldata.zbw.eu/dataset/9efe0249-bf59-40c1-81e5-bdbfd4299442/resource/069da838-be43-43b1-8a02-3b669cb370df/download/readme.abk.txt. , 2023

Link: https://doi.org/10.15456/jae.2023006.2331377061

RT Journal
T1 <Title>Testing Identifying Assumptions in Bivariate Probit Models (replication data)</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdara:oai:oai.da-ra.de:776705&Exemplar=1&LAN=DE
				
A1 Acerenza, Santiago
A1 Bartalotti, Otavio
A1 Kedagni, Desire
PB ZBW - Leibniz Informationszentrum Wirtschaft
YR 2023
K1 Semiparametric and Nonparametric Methods: General
K1 Single Equation Models
K1 Single Variables: Cross-Sectional Models
K1 Spatial Models
K1 Treatment Effect Models
K1 Quantile Regressions
K1 Single Variables: Discrete Regression and Qualitative Choice Models
K1 Discrete Regressors
K1 Proportions
K1 Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
K1 Exogeneity
K1 bivariate probit
K1 moment inequalities
K1 power
K1 size
K1 testable implications
JF URL: https://journaldata.zbw.eu/dataset/9efe0249-bf59-40c1-81e5-bdbfd4299442/resource/069da838-be43-43b1-8a02-3b669cb370df/download/readme.abk.txt
LK http://dx.doi.org/https://doi.org/10.15456/jae.2023006.2331377061
DO https://doi.org/10.15456/jae.2023006.2331377061
SF ELIB - SuUB Bremen

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