2. ISSUES
Measurement issues: talent, diversity, coolness, high tech (do the measures fit the concepts?)
Cause-effect issues (chicken+egg): does diversity lead to talent or talent (and education) to diversity?
Cross-sectional patterns vs. longitudinal patterns (I.e., a “snapshot” of many places at one time vs. viewing a place across history and historical changes)
Correct Unit of Analysis? (ecological fallacy?)
Statistical associations (correlation) vs. causal claims.

3. cause --> effect DIVERSITY TALENT Gay Index Percent BA/BS Degrees
CONCEPTS
DIVERSITY
TALENT
MEASURES
Gay Index
Percent BA/BS Degrees

4. UNIT OF ANALYSIS

5. Assumes cause-effect flows this way -->>
dependent variable
Intermediate variable

12. Indirect effect -- mediated via talent
Direct effect of diversity on high-tech