Is there a law of one price for labor?

Transcription

1 Is there a law of one price for labor? The simplest earnings regressions explain about 25% of the variation Adding information on industry, occupation, union, location, demographics,, explains up to 50% C li ithi fi b t Can explain even more within firms, but wage equalization should occur across firms

2 Measurement error Recall bias Wage versus benefits versus unpriced job amenities Hours Salary versus wage Imputation Bias toward zero, low R 2

3 Hirsch, Barry T. Wage Gaps Large and Small. Southern Economic Journal 74(4) (April 2008):

4 Hirsch, Barry T. Wage Gaps Large and Small. SouthernEconomic Journal74(4) (April 2008):

5 Hirsch, Barry T. Wage Gaps Large and Small. Southern Economic Journal 74(4) (April 2008):

6 Hirsch, Barry T. Wage Gaps Large and Small. Southern Economic Journal 74(4) (April 2008):

7 Why does real wage = wage/price index overcorrect? Suppose two goods, Housing, H, and other, X f l h b h Price of X is similar everywhere, but there are high priced and low priced housing areas

8 Should wages fully reflect these price differences? Median Sales Price of Existing Single Family Homes, 2 nd Quarter, 2010 Lansing, MI Pittsburgh, PA Dallas, TX Omaha, NE Kansas City, MO Houston, TX Des Moines, IA Minneapolis, MN Seattle, WA Boulder, CO New York, NY San Francisco, CA Honolulu, HI National Association of Realtors

9 Application: Response to a housing price differential, Ames and San Francisco All other goods Des Moines $156K Median House Price San Francisco $591K National Association of Realtors O SF B A HOW CANSAN FRANCISCOCOMPETE COMPETE FOR WORKERS? O A U Des Moines U SF H SF H A Housing

10 Black, Dan, Natalya Kolesnikova and Lowell Taylor. Earnings Functions When Wages and Prices Vary by Location. Journal of Labor Economics 27(1) (January 2009): How does local price variation affect returns to education? Compute C t ratio of college earnings to high school earnings for each metro area Match on potential experience, k Standardize distribution of potential experience of college graduates at national level

11 Correlation between housing prices and returns = 0.54 Black, Dan, Natalya Kolesnikova and Lowell Taylor. Earnings Functions When Wages and Prices Vary by Location. Journal of Labor Economics 27(1) (January 2009):21-48.

12 Two types of workers in each city j, college educated (1) and high school educated (0), paid and Utility dependson consumption of housing, H j, priced locally at p j ; a good X priced equally everywhere at p X =1, so relative housing price is p j, and the level of local amenities, A j u 1 (H j,x j,a j ); u 0 (H j,x j,a j ) Utility has to be the same everywhere for each worker type, All income is spent on H j and X j, but appreciation of H j may depend on A j. Expenditures are

13 How would local prices affect returns to schooling? Dropping j subscripts for simplicity, returns defined by Amenities affect local housing prices. How do they affect returns to schooling?

14 When would areas with amenities lower returns to education? Negative when Note, Shephard s Lemma implies

15 Divide by e 1, multiply by A, and rearrange

16 Housing price elasticity with respect to local amenities Budget share of housing Elasticity of expenditures with respect to the amenity. Holding utility and prices fixed, how does A affect e? What has to be true for the negative sign to hold? What has to be true for amenities to have no effect on What has to be true for amenities to have no effect on returns to education?

17 What about tthe effect of housing prices directly? Multiply and divide by p, multiply and divide first term by e 1 What has to be true for housing prices to have no What has to be true for housing prices to have no effect on returns to education?

18 Black, Dan, Natalya Kolesnikova and Lowell Taylor. Earnings Functions When Wages and Prices Vary by Location. Journal of Labor Economics 27(1) (January 2009):21-48.

19 Black, Dan, Natalya Kolesnikova and Lowell Taylor. Earnings Functions When Wages and Prices Vary by Location. Journal of Labor Economics 27(1) (January 2009):21-48.