Omitted variables bias
• Studied on lecture 7
• True model:
• Model as it looks when we omit variable z:
implying
• This gives
• It can be remedied by including the variable in question, but sometimes we do not have data for it
• We can include some proxies for such variable, but this may not reduce the bias completely and some endogeneity remains in the equation
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