This week's topics include spmap and putexcel

Example using spmap with line option:​

spmap using cacoord, id(_ID) line(data(directions)  ///
    color(eltblue) size(.8)) title("SDSU to Humboldt State")  /// 
    note("~12h 38min via Google")

You are to create an Excel file through Stata which requires the use of spmap, sh2dta, mqgeocode, and putexcel to combine multiple data sources and summarize findings.  See instructions in midterm_project_part1.pdf below. 

Use ACS FactFinder to double-check your work to ensure you have the correct results. See screenshot below. Top is from FactFinder Community Facts for San Diego County. The bottom is from the table in SD_Info.xlsx. 

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) 

Resume Workshop

This week we will be continuing covering panel data and xtreg in Stata using the aapredation.dta dataset. 

Helpful links for panel data: 

• Stata's reference manual on panel data
• Princeton's presentation on using Stata for panel analysis
• Presentation on Panel Data in Stata (ppt file)