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- Oshio, Takashi & 小塩, 隆士 & オシオ, タカシ & Kobayashi, Miki & 小林, 美樹 & コバヤシ, ミキ (2010): Association of smoking and drinking with socioeconomic factors: A comparative study based on bivariate probit model analysis
Using microdata from nationwide surveys in Japan, we estimated bivariate probit models to jointly explore how smoking and drinking are related to a wide variety of socioeconomic factors.
RePEc:hit:piecis:476 Save to MyIDEAS - Sukjin Han & Edward J. Vytlacil (2013): Identification in a Generalization of Bivariate Probit Models with Endogenous Regressors
This paper provides identification results for a class of models specified by a triangular system of two equations with binary endogenous variables. ... This class of models includes bivariate probit models as a special case. The paper demonstrates that an exclusion restriction is necessary and sufficient for globally identification of the model parameters with the excluded variable allowed to be binary. Based on this result, identification is achieved in a full model where common exogenous regressors that are present in both equations and excluded instruments are possibly more general than discretely distributed.
RePEc:tex:wpaper:130908 Save to MyIDEAS - Arbués, Fernando & Villanúa, Inmaculada (2016): A bivariate probit model
To this end, we have carried out an empirical study using a bivariate probit model, where the dependent variable we want to analyze is the household attitude to recycling batteries, which we explain through a set of attitudinal and socio-economic factors, together with an endogenous factor representing the environmental concern of the individuals.
RePEc:eee:recore:v:106:y:2016:i:c:p:1-8 Save to MyIDEAS - Anthony Murphy (1994): A simple LM test for zero correlation in the censored bivariate probit model
A simple artificial regression based on Lagrange Multiplier (LM) test for zero correlation in the censored bivariate probit model is derived.
RePEc:ucn:wpaper:199425 Save to MyIDEAS - Han, Sukjin & Vytlacil, Edward J. (2017): Identification in a generalization of bivariate probit models with dummy endogenous regressors
This paper provides identification results for a class of models specified by a triangular system of two equations with binary endogenous variables. ... This class of models is broad and includes bivariate probit models as a special case. The paper demonstrates that having an exclusion restriction is necessary and sufficient for global identification in a model without common exogenous covariates, where the excluded variable is allowed to be binary. Having an exclusion restriction is sufficient in models with common exogenous covariates that are present in both equations. The paper then extends the identification analyses to a model where the marginal distributions of the error terms are unknown.
RePEc:eee:econom:v:199:y:2017:i:1:p:63-73 Save to MyIDEAS - Simeon Maxime Bikoue (2021): Determinants of Child Labour in Cameroon: A Bivariate Probit Model Analysis
The bivariate probit model reveals that the risks for a child who works are high if he does not go to school, he is fatherless or both parents are dead, the head of the family is not educated, he works in the agricultural sector, the standard of living of the household is low and he resides in rural areas.
RePEc:asi:ajemod:v:9:y:2021:i:2:p:105-121:id:376 Save to MyIDEAS - Hwanseok Seo & Jaehyun Hwang (2022): Analysis of Decisive Elements in the Purchase of Alternative Foods Using Bivariate Probit Model
The bivariate probit model (BPM) was used to quantitatively analyze consumers’ selection attributes for alternative foods.
RePEc:gam:jsusta:v:14:y:2022:i:7:p:3822-:d:778427 Save to MyIDEAS - Greene, W.H. (1996): Marginal Effects in the Bivariate Probit Model
This paper derives the marginal effects for a conditional mean function in a bivariate probit model. A general expression is given for a model which allows for sample selectiviy and heteroscedasticity.
RePEc:ste:nystbu:96-11 Save to MyIDEAS - Rainer Winkelmann (2012): Copula Bivariate Probit Models: With An Application To Medical Expenditures
The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the ‘treatment’) on a binary health outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non‐normal dependence using copulas. In an application of the copula bivariate probit model to the effect of insurance status on the absence of ambulatory health care expenditure, a model based on the Frank copula outperforms the standard bivariate probit model.
RePEc:wly:hlthec:v:21:y:2012:i:12:p:1444-1455 Save to MyIDEAS - Rainer Winkelmann (2011): Copula bivariate probit models: with an application to medical expenditures
The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the "treatment") on a binary health outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non-normal dependence using copulas. In an application of the copula bivariate probit model to the effect of insurance status on the absence of ambulatory health care expen- diture, a model based on the Frank copula outperforms the standard bivariate probit model.
RePEc:zur:econwp:029 Save to MyIDEAS