Replication data for: Estimating Group Effects Using Averages of Observables to Control for Sorting on Unobservables: School and Neighborhood Effects

Name: Replication data for: Estimating Group Effects Using Averages of Observables to Control for Sorting on Unobservables: School and Neighborhood Effects
Published: 2018-10-01
License: This work is licensed under an Other license created by the data depositor. Please refer to the LICENSE file, which should be located alongside the project data and documentation.
Keywords: Panel Survey

Principal Investigator(s): View help for Principal Investigator(s) Joseph G. Altonji; Richard K. Mansfield

Version: View help for Version V1

Name	File Type	Size	Last Modified
ELS02			10/27/2021 09:41:AM
MC-Simulations			10/27/2021 09:42:AM
NC			10/27/2021 09:41:AM
NELS88			10/27/2021 09:41:AM
NLS72			10/27/2021 09:41:AM
ja_rm_aer_nls72_repl_files			10/27/2021 09:43:AM
LICENSE.txt	text/plain	14.6 KB	10/11/2019 11:22:PM
Read-me.pdf	application/pdf	165.5 KB	10/11/2019 11:22:PM

Project Citation:

Altonji, Joseph G., and Mansfield, Richard K. Replication data for: Estimating Group Effects Using Averages of Observables to Control for Sorting on Unobservables: School and Neighborhood Effects. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113028V1

Project Description

Summary: We consider the classic problem of estimating group treatment effects when individuals sort based on observed and unobserved characteristics. Using a standard choice model, we show that controlling for group averages of observed individual characteristics potentially absorbs all the across-group variation in unobservable individual characteristics. We use this insight to bound the treatment effect variance of school systems and associated neighborhoods for various outcomes. Across multiple datasets, we find that a 90th versus 10th percentile school/neighborhood increases the high school graduation probability and college enrollment probability by at least 0.04 and 0.11 and permanent wages by 13.7 percent.

Scope of Project

Subject Terms: Panel Survey

JEL Classification:
      C51 Model Construction and Estimation
      H75 State and Local Government: Health; Education; Welfare; Public Pensions
      I21 Analysis of Education
      I26 Returns to Education
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics

Geographic Coverage: United States

Time Period(s): 3/1/1972 – 1/1/2011 (The panel surveys follow 1972 high school seniors, 1988 eighth graders, and 2002 high school sophomores for several years.)

Universe: All 12th grade students in America in 1972, all 8th grade students in 1988 and all 10th grade students in 2002. We also use several years of North Carolina administrative records on high school students

Data Type(s): survey data; administrative records data; census/enumeration data

Methodology

Data Source: NLS72, NELS88, ELS2002, North Carolina administrative records.

Unit(s) of Observation: Students,

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Published Versions

V1 [2019-10-12]

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