Cohort crowding: how resources affect collegiate attainment
Cohort crowding: how resources affect collegiate attainment Cohort crowding: how resources affect collegiate attainment
education and requires that there be no residual shareholders. 8 Most generally, the nondistributionL nconstraint is: nT ( , ) − nc(q)+ L = 0 , 9 where c(q) reflects per-student costs as a functionn popof quality (or resources), with c’(q)>0 and total costs of n c(q). 10 It follows that the per-studentcost of the quality of education provided is simply equal to tuition plus the per-student subsidy(L/n). In this constraint, tuition revenue is endogenous and reflects the tuition rate determined byinverse demand function for college enrollment. This specification is straightforward for privateinstitutions, but it is less clear that the treatment of tuition as endogenous applies fully to publiccolleges and universities, as state legislators and governors may have considerable sway in thedetermination of tuition. 11The nonlinear constraint provides much of the intuition for analyzing the institutionaladjustment to a demand shock. The constraint, illustrated in Figure 1 for the case in which tuitionis determined exogenously, is nonlinear and asymptotes at the level of quality equal to tuition, asthe number of students enrolled goes to infinity. 12 At low levels of enrollment the price ofexpansion is high as the relative change in per-student resource subsidy is substantial. At higherlevels of enrollment (and lower levels of quality), the quantity-quality tradeoff is less pronouncedas per-student subsidy becomes a tiny piece of the cost of education for any individual student.Adding a form of subsidy that varied with enrollment would simply raise the constraint (and theasymptote). The constraint shifts with changes in subsidy. As the subsidy level decreases, there isan “income effect,” which implies a reduction in enrollment and quality, and a “price effect,”8 This model builds on Hansmann’s (1981) effort to illustrate the potential quality-quantity choicefor a performing arts organization when private donations depend on the quality of the presentation.9 In some states, a component of state funding for higher education depends on enrollment. Forsimplicity, we have ignored this fact. What is important is the L rises less than proportionately with n andthis is always true. The model explains the response of students and college administrations to changes inthe size of the college-age population. Additionally, one might imagine that the cost of producing a givenlevel of quality, c, would depend not just on the level of quality produced, but also on enrollment rates – asenrollment rates rise, selectivity falls. Letting c be a function of q and n/pop, rather than just q, wouldcomplicate without changing the basic story.10 Implicitly we are assuming constant returns to scale, which we think of as a reasonableassumption for the long run.11 A survey of State Higher Education Executive Officers finds that legislatures in10 statesexplicitly set tuition in practice or in statute (Christal, 1997). In other states, tuition determination isgenerally the responsibility of governing boards or state higher education authorities, with these authoritiesoften composed of political appointees (Kane, Orszag, and Gunter, 2003).12 The basic “shape” of the constraint would be the same with the endogenous treatment of tuitionthough the slope would be steeper and the function would “flatten” at a greater rate. With tuition fixed, theslope of the constraint is2− L / n , while endogenous tuition yields∂c(q)− L= T2 1+∂nn1Tpop2L−2n.6
- Page 5 and 6: Cohort Crowding: How Resources Affe
- Page 7: education, including a mix of commu
- Page 16 and 17: Results Based on Census DataAn alte
- Page 18 and 19: The available empirical evidence do
- Page 20: appropriations, federal revenue, an
- Page 26 and 27: for these cohorts. 36 Adding to the
- Page 28 and 29: Winston, Gordon. 1999. “Subsidies
- Page 30 and 31: Figure 2: State-specific trends in
- Page 32 and 33: Table 2: Regression of BA degrees c
- Page 34 and 35: Table 4: Regression of BA degrees p
- Page 36 and 37: Table 6: Regressions of collegiate
- Page 38 and 39: Data AppendixThe primary sources of
- Page 40 and 41: Revenues-Federal (Appropriations an
- Page 42 and 43: Appendix Graphs: State-specific tre
- Page 44 and 45: MaineMarylandLn Inst BA degrees8.69
- Page 46 and 47: OhioOklahomaLn Inst BA degrees10.85
education and requires that there be no residual shareholders. 8 Most generally, the nondistributionL nconstraint is: nT ( , ) − nc(q)+ L = 0 , 9 where c(q) reflects per-student costs as a functionn popof quality (or <strong>resources</strong>), with c’(q)>0 and total costs of n c(q). 10 It follows that the per-studentcost of the quality of education provided is simply equal to tuition plus the per-student subsidy(L/n). In this constraint, tuition revenue is endogenous and reflects the tuition rate determined byinverse demand function for college enrollment. This specification is straightforward for privateinstitutions, but it is less clear that the treatment of tuition as endogenous applies fully to publiccolleges and universities, as state legislators and governors may have considerable sway in thedetermination of tuition. 11The nonlinear constraint provides much of the intuition for analyzing the institutionaladjustment to a demand shock. The constraint, illustrated in Figure 1 for the case in which tuitionis determined exogenously, is nonlinear and asymptotes at the level of quality equal to tuition, asthe number of students enrolled goes to infinity. 12 At low levels of enrollment the price ofexpansion is high as the relative change in per-student resource subsidy is substantial. At higherlevels of enrollment (and lower levels of quality), the quantity-quality tradeoff is less pronouncedas per-student subsidy becomes a tiny piece of the cost of education for any individual student.Adding a form of subsidy that varied with enrollment would simply raise the constraint (and theasymptote). The constraint shifts with changes in subsidy. As the subsidy level decreases, there isan “income effect,” which implies a reduction in enrollment and quality, and a “price effect,”8 This model builds on Hansmann’s (1981) effort to illustrate the potential quality-quantity choicefor a performing arts organization when private donations depend on the quality of the presentation.9 In some states, a component of state funding for higher education depends on enrollment. Forsimplicity, we have ignored this fact. What is important is the L rises less than proportionately with n andthis is always true. The model explains the response of students and college administrations to changes inthe size of the college-age population. Additionally, one might imagine that the cost of producing a givenlevel of quality, c, would depend not just on the level of quality produced, but also on enrollment rates – asenrollment rates rise, selectivity falls. Letting c be a function of q and n/pop, rather than just q, wouldcomplicate without changing the basic story.10 Implicitly we are assuming constant returns to scale, which we think of as a reasonableassumption for the long run.11 A survey of State Higher Education Executive Officers finds that legislatures in10 statesexplicitly set tuition in practice or in statute (Christal, 1997). In other states, tuition determination isgenerally the responsibility of governing boards or state higher education authorities, with these authoritiesoften composed of political appointees (Kane, Orszag, and Gunter, 2003).12 The basic “shape” of the constraint would be the same with the endogenous treatment of tuitionthough the slope would be steeper and the function would “flatten” at a greater rate. With tuition fixed, theslope of the constraint is2− L / n , while endogenous tuition yields∂c(q)− L= T2 1+∂nn1Tpop2L−2n.6