Abstract
Using the Education Longitudinal Study of 2002 (ELS:2002), this paper analyzes students’ baccalaureate attainment and early labor market performance, comparing 2-year college and 4-year institution entrants and exploring the potential heterogeneous treatment effects of initiating one’s college experience in a 2-year college by individual pre-college academic preparation. Utilizing propensity score matching on a rich set of student demographic characteristics, academic and high school attributes, we find that 2-year college entry sharply reduces baccalaureate aspirants’ likelihood of earning a baccalaureate, and such negative effects are particularly pronounced for students in the highest quartile of pre-college math ability. In terms of labor market outcomes, female 2-year college entrants are less likely to gain full-time employment, as compared to their female 4-year institution counterparts. We also examine various mechanisms that may hinder 2-year college entrants’ baccalaureate completion, including the impact of 2-year college attendance on early academic progress, challenges of the transfer process, loss of credits at the point of transfer, and post-transfer academic shock. Our results provide suggestive evidence in support of all four mechanisms.
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Notes
Information retrieved from https://bigfuture.collegeboard.org/pay-for-college/college-costs/college-costs-faqs.
It is worth noting that 12% of the college-going students in the ELS:2002 data started taking courses at either a 2-year or 4-year institution through dual enrollment while they were still enrolled in high school. As a robustness check, we include these students in the analytical sample and run all main analyses. We include the results in Appendix Table 10. As shown in Appendix Table 10, results remain consistent with this sample.
The majority of the control variables have a missing rate below 6%. We use a dummy variable adjustment to missing data, which is a commonly used approach (Allison 2002). More specifically, we plug in a value for missing data, typically 0 for dichotomous variables or the variable’s mean if the variable is continuous. We then include in the regression a dummy variable coded as 1 if data in the original variable was missing and 0 otherwise.
In a separate robustness check, we also extend the follow-up window to 2013, or 9 years post initial college enrollment, and the estimated baccalaureate attainment gaps between 2-year and 4-year college entrants remain fairly similar.
For all models where the outcome variable is a labor market measure, we include the regional unemployment rate as an additional control variable. We retrieved information about where each respondent lived in 2012, when employment status was measured. Specifically, this information included the census region where the respondent lived (i.e., northeast, midwest, south, and west). In our analyses, we use the seasonal unemployment rate for each region retrieved from the Bureau of Labor Statistics (BLS) Local Area Unemployment Statistics (LAUS).
We include in all models a “first-term” fixed effects which is a set of control variables that indicate the specific time when a student first entered college (e.g., fall 2004). We include this variable to account for unobserved heterogeneity that arise from students starting college at different points in time, such as an economic shock that happened during a certain time that may influence both students’ college choice and subsequent academic outcomes.
We use psmatch2 software for Stata by Leuven and Sianesi (2003) to implement the propensity score matching procedure. For all analyses by gender subgroup, the matching procedure is conducted for male and female students separately.
Specifically, we run a regression of outcome on the treatment indicator and confounding covariates (Eq. 1) using weights (generated by using psmatch2) to force the sample to represent matched groups (1 if in treatment group, 0 if not matched, and # times matched for matched controls).
For all outcome measures, we estimated treatment effects for a restricted sample of students who completed 24 or more credits during college. We do this to assess whether our results are sensitive to a sample of relatively motivated students. 24 credits represent 1-year of full-time course work and serves as an indicator of being “on-track” to earn a degree and/or transfer. Restricting the sample in this way alleviates concerns about whether there are unobservable characteristics such as motivation not captured in our matching strategy. As shown in Appendix Table 9, the results based on the restricted sample are consistent in both magnitude and statistical significance.
We include an additional table Appendix Table 12 that shows the interaction between the estimated effects of 2-year college entrance and students’ math ability, using the least-prepared students—i.e., those who scored in the lowest math quartile—as the reference group.
We use a standardized measure of postsecondary credits attempted and earned.
References
Abadie, A., Angrist, J., & Imbens, G. (2002). Instrumental variables estimates of the effect of subsidized training on the quantiles of trainee earnings. Econometrica,70(1), 91–117.
Adelman, C. (1999). Answers in the tool box. Academic intensity, attendance patterns, and bachelor’s degree attainment. National Inst. on Postsecondary Education, Libraries, and Lifelong Learning (ED/OERI).
Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college. US Department of Education.
Alfonso, M. (2006). The impact of community college attendance on baccalaureate attainment. Research in Higher Education,47(8), 873–903.
Allison, (2002). Missing data. Thousand Oaks: Sage Publications.
Anderson, K. L. (1981). Post-high school experiences and college attrition. Sociology of Education,54, 1–15.
Attewell, P., Heil, S., & Reisel, L. (2012). What is academic momentum?And does it matter? Educational Evaluation and Policy Analysis,34(1), 27–44.
Austin, P. C. (2008). Assessing balance in measured baseline covariates when using many-to-one matching on the propensity-score. Pharmacoepidemiology and Drug Safety,17(12), 1218–1225.
Bahr, P. R., Toth, C., Thirolf, K., & Massé, J. C. (2013). A review and critique of the literature on community college students’ transition processes and outcomes in four-year institutions. In Higher Education: Handbook of theory and research (pp. 459–511). Springer, Dordrecht.
Bailey, T. R., Jaggars, S. S., & Jenkins, D. (2015). Redesigning America’s community colleges. Cambridge: Harvard University Press.
Bailey, T., Jeong, D. W., & Cho, S. W. (2010). Referral, enrollment, and completion in developmental education sequences in community colleges. Economics of Education Review,29(2), 255–270.
Baker, R. B. (2015). Understanding and Affecting Students’ Path to Success in Community Colleges (Doctoral dissertation, Stanford University).
Baker, R. (2016). The effects of structured transfer pathways in community colleges. Educational Evaluation and Policy Analysis,38(4), 626–646.
Becker, S. O., & Caliendo, M. (2007). Sensitivity analysis for average treatment effects. The Stata Journal,7(1), 71–83.
Berkner, L., & Choy, S. (2008). Descriptive summary of 2003-04 beginning postsecondary students: three years later. NCES 2008-174. National Center for Education Statistics.
Brand, J. E. (2010). Civic returns to higher education: A note on heterogeneous effects. Social Forces,89(2), 417–434.
Brand, J. E., Pfeffer, F. T., & Goldrick-Rab, S. (2012). Interpreting community college effects in the presence of heterogeneity and complex counterfactuals. Los Angeles: California Center for Population Research, University of California, Los Angeles.
Brand, J. E., & Xie, Y. (2010). Who benefits most from college? Evidence for negative selection in heterogeneous economic returns to higher education. American Sociological Review,75(2), 273–302.
Brint, S. (2003). Few remaining dreams: Community colleges since 1985. The Annals of the American Academy of Political and Social Science,586(1), 16–37.
Brown, Z., & Xia, X. (2014). Attending a four-year college directly or transferring from a 2-year college: Does the path to a bachelor’s degree matter? (Working Paper). Paper presented at the Association for Education Finance and Policy annual conference, San Antonio, TX.
Calcagno, J. C., Crosta, P., Bailey, T., & Jenkins, D. (2006). Stepping stones to a degree: The impact of enrollment pathways and milestones on older community college student outcomes. CCRC Brief Number 32. Community College Research Center, Columbia University.
Calcagno, J. C., & Long, B. T. (2008). The impact of postsecondary remediation using a regression discontinuity approach: Addressing endogenous sorting and noncompliance (No. w14194). National Bureau of Economic Research.
Castleman, B. L., Schwartz, S., & Baum, S. (2015). The shapeless river: Does a lack of structure inhibit students’ progress at community colleges?. In Decision Making for Student Success (pp. 114–135). Routledge.
Chen, X. (2009). Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education. Stats in Brief. NCES 2009-161. National Center for Education Statistics.
Choy, S. P., & Gifford, A. G. (1990). Profile of undergraduates in American postsecondary institutions. Survey Report.
Clark, B. A. (1960). The “cooling-out” function in higher education. American Journal of Sociology,65, 569–576.
Crook, D., Chellman, C. C., & Holod, A. (2012). Does earning an associate degree lead to better baccalaureate outcomes for transfer students. City University of New York, Office of Policy Research. Retrieved from http://www.cuny.edu/about/administration/offices/ira/opr/papers/associate_degree.Pdf.
Crosta, P. M., & Kopko, E. M. (2014). Should community college students earn an associate degree before transferring to a four-year institution. Community College Research Center Working Paper, No. 70.
Dehejia, R. H., & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. Review of Economics and Statistics,84(1), 151–161.
Desrochers, D. M., & Hurlburt, S. (2014). Trends in college spending: 2001–2011. A delta data Update. Delta Cost Project at American Institutes for Research.
Domingo, M. S., & Nouri, H. (2016). How do transfer students in accounting compare academically to” native” students? Global Perspectives on Accounting Education,13, 21.
Dougherty, K. J. (1994). The contradictory college: The conflicting origins, impacts, and futures of the community college. Albany, NY: SUNY Press.
Doyle, W. R. (2009). Impact of increased academic intensity on transfer rates: An application of matching estimators to student-unit record data. Research in Higher Education,50(1), 52–72.
Education Longitudinal Study of 2002 (n.d.). Retrieved March 22, 2018, from https://nces.ed.gov/surveys/els2002/.
Ehrenberg, R. G., & Smith, C. L. (2004). Analyzing the success of student transitions from 2-to 4-year institutions within a state. Economics of Education Review,23(1), 11–28.
Flaga, C. T. (2006). The process of transition for community college transfer students. Community College Journal of Research and Practice,30(1), 3–19.
Gallagher, R. P. (2010). National survey of counseling center directors. Retrieved from http://www.iacsinc.org/NSCCD%202010.pdf.
Grubb, W. N. (2006). Vocationalism and the differentiation of tertiary education: Lessons from US community colleges. Journal of Further and Higher Education,30(1), 27–42.
Hill, J. (2008). Discussion of research using propensity-score matching: Comments on ‘A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003’by Peter Austin. Statistics in Medicine. Statistics in Medicine,27(12), 2055–2061.
Hills, J. R. (1965). Transfer shock: The academic performance of the junior college transfer. The Journal of Experimental Education,33(3), 201–215.
Hilmer, M. J. (2000). Does the return to university quality differ for transfer students and direct attendees? Economics of Education Review,19(1), 47–61.
Hoynes, H., Miller, D. L., & Schaller, J. (2012). Who suffers during recessions? Journal of Economic Perspectives,26(3), 27–48.
Hull, J. A. (2018). Exploring the impact of the associate degree on bachelor’s degree completion for reverse transfer eligible students using propensity score matching (Doctoral dissertation, Rowan University).
Jackson, D. L., & Laanan, F. S. (2015). Desiring to fit: Fostering the success of community college transfer students in STEM. Community College Journal of Research and Practice,39(2), 132–149.
Jaggars, S., Fink, J., & Fletcher, J. (2016). A longitudinal analysis of community college pathways to computer science bachelor’s degrees. New York: Community College Research Center, Teachers College, Columbia University.
Jaggars, S., & Fletcher, J. (2014). Redesigning the student intake and information provision processes at a large comprehensive community college. New York: Community College Research Center, Teachers College, Columbia University.
Jaggars, S. S., & Xu, D. (2016). Examining the earnings trajectories of community college students using a piecewise growth curve modeling approach. Journal of Research on Educational Effectiveness,9(3), 445–471.
Jenkins, P. D., & Fink, J. (2015). What we know about transfer. New York: Community College Research Center, Teachers College, Columbia University.
Jenkins, D., & Fink, J. (2016). Tracking transfer: New measures of institutional and state effectiveness in helping community college students attain bachelor’s degrees. New York: Community College Research Center, Teachers College, Columbia University.
Kadlec, A., & Gupta, J. (2014). Indiana regional transfer study: The student experience of transfer pathways between ivy tech community college and Indiana University. Public Agenda.
Kadlec, A., & Martinez, M. (2013). Putting it all together: Strengthening pathways between comprehensives and community colleges. American Enterprise Institute private convening, “Comprehending Comprehensives,” Washington, DC.
Kane, T. J., & Rouse, C. E. (1995). Labor-market returns to two-and four-year college. The American Economic Review,85(3), 600–614.
Klempin, S. (2014). Redefining full-time in college: Evidence on 15-credit strategies. New York: Community College Research Center, Columbia University.
Lakin, J. M., & Elliott, D. C. (2016). STEMing the shock: Examining transfer shock and its impact on STEM major and enrollment persistence. Journal of The First-Year Experience & Students in Transition,28(2), 9–31.
Lee, H., & Schneider, T. (2016). Does posttransfer involvement matter for persistence of community college transfer students? Community College Journal of Research and Practice,42(2), 77–94.
Leigh, D. E., & Gill, A. M. (2003). Do community colleges really divert students from earning bachelor’s degrees? Economics of Education Review,22(1), 23–30.
Light, A., & Strayer, W. (2004). Who receives the college wage premium? Assessing the labor market returns to degrees and college transfer patterns. Journal of Human Resources,39(3), 746–773.
Long, B. T., & Kurlaender, M. (2009). Do community colleges provide a viable pathway to a baccalaureate degree? Educational Evaluation and Policy Analysis,31(1), 30–53.
Lundberg, C. A., Kim, Y. K., Andrade, L. M., & Bahner, D. T. (2018). High expectations, strong support: Faculty behaviors predicting Latina/o community college student learning. Journal of College Student Development,59(1), 55–70.
Lyon, L. A. & Denner, J. (2016). Student perspectives of community college pathways to computer science bachelor’s degrees. Mountain View, CA: Google Inc. Retrieved from https://goo.gl/Q0wJJv.
Martorell, P., & McFarlin, I., Jr. (2011). Help or hindrance? The effects of college remediation on academic and labor market outcomes. The Review of Economics and Statistics,93(2), 436–454.
Miller, T. E. (2007). Will they stay or will they go? Predicting the risk of attrition at a large public university. College and University,83(2), 2.
Minaya, V., & Scott-Clayton, J. (2017). Labor market trajectories for community college graduates: new evidence spanning the great recession. A CAPSEE Working Paper. Center for Analysis of Postsecondary Education and Employment.
Monaghan, D. B., & Attewell, P. (2015). The community college route to the bachelor’s degree. Educational Evaluation and Policy Analysis,37(1), 70–91.
Mulligan, C. B. (2012). The redistribution recession: How labor market distortions contracted the economy. New York, NY: Oxford University Press.
Pascarella, E. T., & Terenzini, P. T. (1991). How college affects students (Vol. 1991). San Francisco: Jossey-Bass.
Public Agenda Foundation WestEd (Organization). (2012). Student voices on the higher education pathway: Preliminary insights and stakeholder engagement considerations.
Reynolds, C. L. (2012). Where to attend? Estimating the effects of beginning college at a 2-year institution. Economics of Education Review,31(4), 345–362.
Rosenbaum, P. R. (2002). Observational studies (2nd ed.). New York: Springer.
Rosenbaum, J. E., Deil-Amen, R., & Person, A. E. (2006). After admission: From college access to college success. New York, NY: Russell Sage Foundation Press.
Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician,39(1), 33–38.
Rouse, C. E. (1995). Democratization or diversion? The effect of community colleges on educational attainment. Journal of Business & Economic Statistics,13(2), 217–224.
Rubin, D. B., & Thomas, N. (2000). Combining propensity score matching with additional adjustments for prognostic covariates. Journal of the American Statistical Association,95(450), 573–585.
Scott-Clayton, J. (2011). On money and motivation a quasi-experimental analysis of financial incentives for college achievement. Journal of Human Resources,46(3), 614–646.
Scott-Clayton, J., & Rodriguez, O. (2015). Development, discouragement, or diversion? New evidence on the effects of college remediation policy. Education Finance and Policy,10(1), 4–45.
Shapiro, D., Dundar, A., Huie, F., Wakhungu, P. K., Yuan, X., Nathan, A., & Hwang, Y. (2017). Tracking transfer: Measures of effectiveness in helping community college students to complete bachelor’s degrees. Signature Report No. 13.
Stephan, J. L., Rosenbaum, J. E., & Person, A. E. (2009). Stratification in college entry and completion. Social Science Research,38(3), 572–593.
Taylor, P., Kochhar, D. R., Dockterman, D., & Motel, S. (2011). In two years of economic recovery, women lost jobs, men found them. Pew Research Center.
Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research,45(1), 89–125.
Tinto, V. (1987). Leaving college: Rethinking the causes and cures of student attrition. University of Chicago Press, 5801 S. Ellis Avenue, Chicago, IL 60637.
Townsend, B. K., & Wilson, K. (2006). “ A hand hold for a little bit”: Factors facilitating the success of community college transfer students to a large research university. Journal of College Student Development,47(4), 439–456.
Velez, W. (1985). Finishing college: The effects of college type. Sociology of Education,58, 191–200.
Wang, X. (2013). Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. American Educational Research Journal,50(5), 1081.
Wang, X., Chan, H. Y., Phelps, L. A., & Washbon, J. I. (2015). Fuel for success: Academic momentum as a mediator between dual enrollment and educational outcomes of 2-year technical college students. Community College Review,43(2), 165–190.
Wyner, J., Deane, K. C., Jenkins, D., & Fink, J. (2016). The transfer playbook: Essential practices for two-and 4-year colleges. New York: Aspen Institute.
Xu, D. (2016). Assistance or obstacle? The impact of different levels of english developmental education on underprepared students in community colleges. Educational Researcher,45(9), 496–507.
Xu, D., & Dadgar, M. (2018). How effective are community college remedial math courses for students with the lowest math skills? Community College Review,46(1), 62–81.
Xu, D., Jaggars, S. S., Fletcher, J., & Fink, J. E. (2018). Are community college transfer students “a good bet” for 4-year admissions? Comparing academic and labor-market outcomes between transfer and native 4-year college students. The Journal of Higher Education,89(4), 478–502.
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The research reported here was supported by the American Educational Research Association, through Grant 78089 to University of California, Irvine. The opinions expressed are those of the authors and do not represent views of the American Educational Research Association. Any errors are our own.
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Xu, D., Solanki, S. & Harlow, A. Examining the Relationship Between 2-year College Entry and Baccalaureate Aspirants’ Academic and Labor Market Outcomes: Impacts, Heterogeneity, and Mechanisms. Res High Educ 61, 297–329 (2020). https://doi.org/10.1007/s11162-019-09559-7
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DOI: https://doi.org/10.1007/s11162-019-09559-7