Data and Code for: Community Colleges and Upward Mobility

Principal Investigator(s): View help for Principal Investigator(s) Jack Mountjoy, University of Chicago Booth School of Business

Version: View help for Version V1

Name	File Type	Size	Last Modified
ado			03/11/2022 11:00:AM
extraw			03/11/2022 11:01:AM
prog			03/13/2022 01:58:PM
README.pdf	application/pdf	176.6 KB	05/10/2022 06:29:AM

Project Citation:

Mountjoy, Jack. Data and Code for: Community Colleges and Upward Mobility. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-07-19. https://doi.org/10.3886/E164662V1

Project Description

Summary: Two-year community colleges enroll nearly half of all first-time undergraduates in the United States, but to ambiguous effect: low persistence rates and the potential for diverting students from 4-year institutions cast ambiguity over 2-year colleges' contributions to upward mobility. This paper develops a new instrumental variables approach to identifying causal effects along multiple treatment margins, and applies it to linked education and earnings registries to disentangle the net impacts of 2-year college access into two competing causal margins: significant value-added for 2-year entrants who otherwise would not have attended college, but negative impacts on students diverted from immediate 4-year entry.

Scope of Project

Subject Terms: community colleges; unordered treatments; instrumental variables

JEL Classification:
      C31 Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
      C36 Multiple or Simultaneous Equation Models: Instrumental Variables (IV) Estimation
      I23 Higher Education; Research Institutions
      I24 Education and Inequality
      I26 Returns to Education
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials

Geographic Coverage: Texas

Time Period(s): 1996 – 2016

Universe: Public high school students in Texas

Data Type(s): administrative records data; census/enumeration data; geographic information system (GIS) data; program source code

Methodology

Unit(s) of Observation: Individual; high school; college

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Published Versions

V1 [2022-07-19]

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