The Importance of Segregation, Discrimination, Peer Dynamics, and Identity in Explaining Trends in the Racial Achievement Gap / Roland G. Fryer, Jr.

By:

Fryer, Roland G, Jr

Contributor(s):

National Bureau of Economic Research

Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w16257.Publication details: Cambridge, Mass. National Bureau of Economic Research 2010.Description: 1 online resource: illustrations (black and white)Subject(s):

Online resources:

Available additional physical forms:

Hardcopy version available to institutional subscribers

Abstract: After decades of narrowing, the achievement gap between black and white school children widened in the 1990s - a period when the labor market rewards for education were increasing. This presents an important puzzle for economists. In this chapter, I investigate the extent to which economic models of segregation, information-based discrimination, peer dynamics, and identity can explain this puzzle. Under a reasonable set of assumptions, models of peer dynamics and identity are consistent with the time-series data. Segregation and models of discrimination both contradict the trends in important ways.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w16257 (Browse shelf(Opens below))	Not For Loan

Total holds: 0

August 2010.

After decades of narrowing, the achievement gap between black and white school children widened in the 1990s - a period when the labor market rewards for education were increasing. This presents an important puzzle for economists. In this chapter, I investigate the extent to which economic models of segregation, information-based discrimination, peer dynamics, and identity can explain this puzzle. Under a reasonable set of assumptions, models of peer dynamics and identity are consistent with the time-series data. Segregation and models of discrimination both contradict the trends in important ways.