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Abstract

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This manuscript proposes a conceptual framework to reconceptualize college access at the state level, while accounting for the heterogeneous impact different forms of financial aid have on access across sectors and levels. The use of this framework may strengthen our understanding of the relationship between aid and access by accounting for more than one form of financial aid, considering recent and nonrecent high school graduates (NRHGs) and modeling the potential impact of aid on access across sectors.

Keywords

college access financial aid heterogeneous effects big and geocoded data spatial analysis data mining critical analysis data analytics data science education finance

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References

Abraham

K. G.

Clark

M. A.

(2006). Financial aid and students’ college decisions evidence from the District of Columbia tuition assistance grant program. Journal of Human Resources, 41, 578-610.

Baum

Payea

(2010). Education pays, 2010: The benefits of higher education for individuals and society: Trends in higher education series. Washington, DC: College Board Advocacy & Policy Center.

Bivand

Pebesma

Gómez-Rubio

(2008). Applied spatial data analysis with R. New York, NY: Springer.

Bivand

Pebesma

Gómez-Rubio

(2013). Applied spatial data analysis with R (Vol. 747248717). New York, NY: Springer.

Cooke

T. J.

Boyle

(2011). The migration of high school graduates to college. Educational Evaluation and Policy Analysis, 33, 202-213.

Cornwell

Mustard

D. B.

Sridhar

D. J.

(2006). The enrollment effects of merit-based financial aid: Evidence from Georgia’s hope program. Journal of Labor Economics, 24, 761-786.

Deming

D. J.

Goldin

Katz

L. F.

(2011). The for-profit postsecondary school sector: Nimble critters or agile predators? Journal of Economic Perspectives, 26, 139-164.

DesJardins

S. L.

McCall

B. P.

Ott

Kim

(2010). A quasi-experimental investigation of how the gates millennium scholars program is related to college students’ time use and activities. Educational Evaluation and Policy Analysis, 32, 456-475.

Digest of Education Statistics. (2011). Private elementary and secondary schools, enrollment, teachers, and high school graduates, by state: Selected years, 2001 through 2011 [Table 205.80]. U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics. Retrieved from http://nces.ed.gov/programs/digest/d13/tables/dt13_205.80.asp

10.

Digest of Education Statistics. (2012). Public high school graduates, by state or jurisdiction: Selected years, 1980-81 through 2010-11 [Table 123]. U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics. Retrieved from http://nces.ed.gov/programs/digest/d12/tables/dt12_123.asp

11.

Doyle

W. R.

(2006). Adoption of merit-based student grant programs: An event history analysis. Educational Evaluation and Policy Analysis, 28, 259-285.

12.

Doyle

W. R.

(2009). The effect of community college enrollment on bachelor’s degree completion. Economics of Education Review, 28, 199-206.

13.

Doyle

W. R.

(2010). Changes in institutional aid, 1992–2003: The evolving role of merit aid. Research in Higher Education, 51, 789-810.

14.

Dynarski

(2000). Hope for whom? Financial aid for the middle class and its impact on college attendance (Tech. Rep.). Cambridge, MA: National Bureau of Economic Research.

15.

Dynarski

(2004). The new merit aid. In C. M. Hoxby (Ed.), College choices: The economics of where to go, when to go, and how to pay for it (pp. 63-100). Chicago, IL: The University of Chicago Press.

16.

Dynarski

(2008). Building the stock of college-educated labor. Journal of Human Resources, 43, 576-610.

17.

Field

(2018). More Hispanics are going to college. The bad news? They’re still behind (The Hechinger Report). Retrieved from https://hechingerreport.org/rising-college-rates-spur-hispanic-progress-in-higher-education/

18.

González Canché

M. S

. (2014a). Is the community college a less expensive path toward a bachelor’s degree? Public 2- and 4-year colleges’ impact on loan debt. The Journal of Higher Education, 85, 723-759.

19.

González Canché

M. S

. (2014b). Localized competition in the non-resident student market. Economics of Education Review, 43, 21-35.

20.

González Canché

M. S

. (2017a). Community college scientists and salary gap: Navigating socioeconomic and academic stratification in the U.S. higher education system. The Journal of Higher Education, 88, 1-32. doi:10.1080/00221546.2016.1243933

21.

González Canché

M. S

. (2017b). Financial benefits of rapid student loan repayment: An analytic framework employing two decades of data. The ANNALS of the American Academy of Political and Social Science, 671, 154-182.

22.

González Canché

M. S

. (2017c). The heterogeneous non-resident student body: Measuring the effect of out-of-state students’ home-state wealth on tuition and fee price variations. Research in Higher Education, 58, 141-183.

23.

González Canché

M. S

. (2018a). Challenges and opportunities in the use of big and geocoded data in higher education research and policy. In Gasman

Castro-Samoya

(Eds.), Contemporary Issues in Higher Education. New York, NY: Routledge

24.

González Canché

M. S

. (2018b). Geographical network analysis and spatial econometrics as tools to enhance our understanding of student migration patterns and benefits in the us higher education network. The Review of Higher Education, 41, 169-216.

25.

González Canché

M. S

. (2018c). Nearby college enrollment and geographical skills mismatch: (Re)conceptualizing student out-migration in the American higher education system. The Journal of Higher Education, 89, 892-934. doi:10.1080/00221546.2018.1442637

26.

González Canché

M. S

. (2018d). Reassessing the two-year sector’s role in the amelioration of a persistent socioeconomic gap: A proposed analytical framework for the study of community college effects in the big and geocoded data and quasi-experimental era. In Paulsen

M. B.

(Ed.), Higher education: Handbook of theory and research (Vol. 33, pp. 175-238). Springer. Retrieved from http://www.springer.com/series/6028

27.

González Canché

M. S

. (in press). Community college effects on undergraduate student loan debt: A comprehensive analysis of debt accumulation and burden across public higher education sectors and decades. Research in Higher Education.

28.

González Canché

M. S

. (2019). Geographical, statistical, and qualitative network analysis: A multifaceted method-bridging tool to reveal and model meaningful structures in education research. In Paulsen

M. B.

(Ed.), Higher education: Handbook of theory and research (Vol. 34, pp. 175-238). New York, NY: Springer.

29.

Leigh

Gill

(2003). Do community colleges really divert students from earning bachelor’s degrees? Economics of Education Review, 22, 23-30.

30.

Long

Kurlaender

(2009). Do community colleges provide a viable pathway to a baccalaureate degree? Educational Evaluation and Policy Analysis, 31, 30-53.

31.

Luna-Torres

McKinney

Horn

Jones

(2018). Understanding loan use and debt burden among low-income and minority students at a large urban community college. Journal of Student Financial Aid, 48(1), Article 2.

32.

Matthews

(2010). A stronger nation through higher education. Indianapolis, IN: Lumina Foundation.

33.

McMahon

W. W.

(2009). Higher learning, greater good: The private and social benefits of higher education. Baltimore, MD: Johns Hopkins University Press.

34.

Melguizo

Dowd

(2009). Baccalaureate success of transfers and rising 4-year college juniors. The Teachers College Record, 111, 55-89.

35.

National Association of State Student Grant & Aid Programs. (2018). 47th annual survey report on state-sponsored student financial aid, 2015-16 academic year. Springfield: Illinois Student Assistance Commission. Retrieved from http://nassgap.org/survey/NASSGAP%20Report%2015-16_2.pdf

36.

Nora

(1990). Campus-based aid programs as determinants of retention among Hispanic community college students. The Journal of Higher Education, 61, 312-331.

37.

Rusk

J. J.

Leslie

L. L.

(1978). The setting of tuition in public higher education. The Journal of Higher Education, 531-547.

38.

Sandy

Gonzalez

Hilmer

(2006). Alternative paths to college completion: Effect of attending a 2-year school on the probability of completing a 4-year degree. Economics of Education Review, 25, 463-471.

39.

Stephan

J. L.

Rosenbaum

J. E.

Person

A. E.

(2009). Stratification in college entry and completion. Social Science Research, 38, 572-593.

40.

Toutkoushian

R. K.

Hillman

N. W.

(2012). The impact of state appropriations and grants on access to higher education and outmigration. The Review of Higher Education, 36, 51-90.

41.

U.S. Department of Education. (2017). The condition of education 2017. National Center for Education Statistics. Retrieved from https://nces.ed.gov/pubs2017/2017144.pdf

42.

U.S. Department of Education. (2018). The condition of education 2018. National Center for Education Statistics. Retrieved from https://nces.ed.gov/pubs2018/2018144.pdf

43.

U.S. Department of Education, Integrated Postsecondary Education Data System. (2012a). IPEDS Enrollments, Residence and migration of first-time freshman: Fall 2010 [Survey Data files EF2010C]. IPEDS Data Center. Retrieved from http://nces.ed.gov/ipeds/datacenter/data/EF2010C.zip

44.

U.S. Department of Education, Integrated Postsecondary Education Data System. (2012b). IPEDS Institutional Characteristics, Directory information [Survey Data files, HD2010]. IPEDS Data Center. Retrieved from http://nces.ed.gov/ipeds/datacenter/data/HD2010.zip

45.

U.S. Department of Education, Integrated Postsecondary Education Data System. (2012c). Race/ethnicity, gender, attendance status, and level of student: Fall 2010 [Survey Data files, EF2010A]. IPEDS Data Center. Retrieved from http://nces.ed.gov/ipeds/datacenter/data/EF2010A.zip

46.

U.S. Department of Education, Integrated Postsecondary Education Data System. (2012d). Student financial aid and net price: 2010-11 [Survey Data files, SFA1011]. IPEDS Data Center. Retrieved from http://nces.ed.gov/ipeds/datacenter/data/SFA1011.zip

47.

U.S. Department of Education, Integrated Postsecondary Education Data System. (2016). IPEDS Enrollments, Residence and migration of first-time freshman: Fall 2010 [Survey Data files EF2010C]. IPEDS Data Center. Retrieved from http://nces.ed.gov/ipeds/datacenter/data/EF2016C.zip

48.

White House Task Force. (2008). White house task force on middle class families staff report: Barriers to higher education. Retrieved from https://www.dropbox.com/s/b7gxogmsdrjqws9/MCTF_staff_report_barriers_to_college_FINAL.pdf?dl=0

49.

Zhang

Sensenig

(2013). The effect of Florida’s Bright Futures program on college enrollment and degree production: An aggregated-level analysis. Research in Higher Education, 54, 746-764.

50.

Zhang

Ness

(2010). Does state merit-based aid stem brain drain? Educational Evaluation and Policy Analysis, 32, 143-165.

Re(de)fining College Access and Its Association With Divergent Forms of Financial Aid: A Proposed Conceptual and Analytic Framework

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