Week 5

This week we will be discussing binary response models:

• Linear Probability Model 
• Logit
• Probit 

Helpful links:

• Predicted Probabilities and Margins after logit/probit in Stata (Princeton) 
• Getting Started with Logit and Ordered Logit (Princeton)
• Logistic Regression (Notre Dame)
• Stata Margins Presentation (Notre Dame) 
• Multinomial Logit Lecture Notes (Princeton) 
• Interpreting Multinomial logit coefficients in Stata  (Princeton) 
• Conditional Logit (Notre Dame) 

Files to download

week05_lecture.do
File Size:	5 kb
File Type:	do

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firm.dta
File Size:	17 kb
File Type:	dta

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acp.dta
File Size:	158 kb
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week05 lecture log.txt
File Size:	32 kb
File Type:	txt

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firm_13.dta
File Size:	14 kb
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acp_13.dta
File Size:	153 kb
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week05_assignment.pdf
File Size:	201 kb
File Type:	pdf

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