Pages that link to "Item:Q2397724"
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The following pages link to Identification in a generalization of bivariate probit models with dummy endogenous regressors (Q2397724):
Displaying 17 items.
- Identification of multiple equation probit models with endogenous dummy regressors (Q1583402) (← links)
- The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification (Q1740276) (← links)
- A note on the different interpretation of the correlation parameters in the bivariate probit and the recursive bivariate probit (Q1787589) (← links)
- A note on the identification in two equations probit model with dummy endogenous regressor (Q2345249) (← links)
- The dynamic invariant multinomial probit model: identification, pretesting and estimation (Q2630200) (← links)
- Vector copulas (Q2697978) (← links)
- Evaluating the performance of simple estimators for probit models with two dummy endogenous regressors (Q2862412) (← links)
- A control function approach to estimating dynamic probit models with endogenous regressors (Q2870575) (← links)
- Partial identification by extending subdistributions (Q4629404) (← links)
- An instrumental variable random‐coefficients model for binary outcomes (Q5093228) (← links)
- Efficient semiparametric copula estimation of regression models with endogeneity (Q5095200) (← links)
- Dummy Endogenous Variables in Weakly Separable Models (Q5441625) (← links)
- Treatment effect models with strategic interaction in treatment decisions (Q6054401) (← links)
- Estimation of treatment effects in nonlinear models with unobserved confounding (Q6100426) (← links)
- Partial identification in nonseparable binary response models with endogenous regressors (Q6108266) (← links)
- Identification and estimation of triangular models with a binary treatment (Q6163252) (← links)
- A computational approach to identification of treatment effects for policy evaluation (Q6199623) (← links)
