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A framework for eliciting, incorporating, and disciplining identification beliefs in linear models
DiTraglia, Francis J.; García Jimeno, Camilo - 2016
Persistent link: https://www.econbiz.de/10011545958
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A framework for eliciting, incorporating, and disciplining identification beliefs in linear models
DiTraglia, Francis J.; García Jimeno, Camilo - 2015 - Third version, this version: September 9, 2015
Persistent link: https://www.econbiz.de/10011452926
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On mis-measured binary regressors : new results and some comments on the literature
DiTraglia, Francis J.; García Jimeno, Camilo - 2015 - This version: November 2, 2015,
Persistent link: https://www.econbiz.de/10011452973
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On mis-measured binary regressors : new results and some comments on the literature
DiTraglia, Francis J.; García Jimeno, Camilo - 2015 - This version: November 11, 2015
Persistent link: https://www.econbiz.de/10011452979
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On mis-measured binary regressors : new results and some comments on the literature
DiTraglia, Francis J.; García Jimeno, Camilo - 2015 - This version: November 24, 2015
Persistent link: https://www.econbiz.de/10011452986
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A framework for eliciting, incorporating, and disciplining identification beliefs in linear models
DiTraglia, Francis J.; García Jimeno, Camilo - 2015 - Rev., second version
Persistent link: https://www.econbiz.de/10011326706
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A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models
DiTraglia, Francis J. - 2016
To estimate causal effects from observational data, an applied researcher must impose beliefs. The instrumental variables exclusion restriction, for example, represents the belief that the instrument has no direct effect on the outcome of interest. Yet beliefs about instrument validity do not...
Persistent link: https://www.econbiz.de/10012983438
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Identifying the effect of a mis-classified, binary, endogenous regressor
DiTraglia, Francis J.; García Jimeno, Camilo - In: Journal of econometrics 209 (2019) 2, pp. 376-390
Persistent link: https://www.econbiz.de/10012302628
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A framework for eliciting, incorporating, and disciplining identification beliefs in linear models
DiTraglia, Francis J.; García Jimeno, Camilo - In: Journal of business & economic statistics : JBES ; a … 39 (2021) 4, pp. 1038-1053
Persistent link: https://www.econbiz.de/10012653223
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A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models
DiTraglia, Francis - 2016
To estimate causal effects from observational data, an applied researcher must impose beliefs. The instrumental variables exclusion restriction, for example, represents the belief that the instrument has no direct effect on the outcome of interest. Yet beliefs about instrument validity do not...
Persistent link: https://www.econbiz.de/10012456059