Bounding a Linear Causal Effect Using Relative Correlation Restrictions
نویسندگان
چکیده
منابع مشابه
Bounding a linear causal effect using relative correlation restrictions
This paper describes and implements a simple and relatively conservative approach to the most common problem in applied microeconometrics: estimating a linear causal effect when the explanatory variable of interest might be correlated with relevant unobserved variables. The main idea is to use the sample correlation between the variable of interest and observed control variables to suggest a ra...
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This paper describes and implements a simple and relatively conservative approach to the most common problem in applied microeconometrics: estimating a linear causal effect when the explanatory variable of interest might be correlated with relevant unobserved variables. The main idea is to use the sample correlation between the variable of interest and observed control variables to suggest a ra...
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This paper describes and implements a simple approach to the most common problem in applied microeconometrics: estimating a linear causal effect when the explanatory variable of interest might be correlated with relevant unobserved variables. The main idea is to place restrictions on the correlation between the variable of interest and relevant unobserved variables relative to the correlation b...
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ژورنال
عنوان ژورنال: Journal of Econometric Methods
سال: 2016
ISSN: 2156-6674,2194-6345
DOI: 10.1515/jem-2013-0013