Home Education Spending, Fertility Shocks and Generational Consumption Risk
Article
Licensed
Unlicensed Requires Authentication

Education Spending, Fertility Shocks and Generational Consumption Risk

  • Patrick M. Emerson and Shawn D. Knabb ORCID logo EMAIL logo
Published/Copyright: February 4, 2020

Abstract

This paper develops a model with overlapping generations to show that human capital formation can potentially attenuate factor price movements in response to fertility shocks if education spending per child is inversely related to the size of the generation subject to the fertility shock. The degree of attenuation depends on the effectiveness of education spending in producing human capital. We also find this attenuation effect concentrates generational consumption risk around the generation subject to the fertility shock. The combination of these two results suggest that there is an inverse relationship between the degree of factor price movements and lifetime consumption profiles in response to fertility shocks. Relatively larger generations will experience larger drops in lifetime consumption and relatively smaller generations will experience larger increases in lifetime consumption the less factor prices move in response to generational size. Thus, factor price smoothing does not necessarily translate into welfare smoothing across all generations.

JEL Classification: J11; E21; I26; I31; J18

Acknowledgements

We would like to thank two anonymous referees for their thoughtful comments on the structure and the presentation of the paper. We especially appreciate the advice received on the writing of our abstract.

Declaration of Interest

None

Appendix

A

To express the original system of equations in stationary form we detrend each variable by the knowledge available to each generation in their youth. Starting with the education technology, divide both sides of eq. (14) by the amount of knowledge available at time t, which results in the following trend stationary equation for effective units of labor,

(37)est=Ahstγ

The superscript s denotes variables in their stationary form. For example, the variable est=et/Ht expresses human capital in terms of the amount of knowledge available to this particular generation.

To determine the stationary level of education spending per child divide both sides of eq. (17) by Ht and use eq. (15), Ht+1/Ht=g.

(38)hst=1ngwtest1τEtexpεt1εt

The tax rate τEt is already in stationary form, so we do not use a superscript for this variable. This result also applies to the effective wage rate as we demonstrate shortly.

The next step is to detrend the working generation’s decision problem. The children of period t become adults in period t+1, so the detrending variable for adults next period is also Ht. This results in the following stationary Euler equation and period specific budget constraints.

(39)cWst+11/η=βRt+2cRst+21/η
(40)cWst+1+sst+1=wt+1est1τEt+1τSt+1
(41)cRst+2=μ1Rt+2sst+1+SSst+2

For reference, the trend stationary variables for these equations are: cWst+1=cWt+1/Ht, cRst+2=cRt+2/Ht, sst+1=st+1/Ht, and SSst+2=SSt+2/Ht.

Given the constant returns to scale production function and competitive markets assumption, factor payments are stationary. To see this last result, rewrite eqs. (6) and (7) as follows:

(42)wt+1=1αkst+1αestα
(43)Rt+1=αkst+1α1est1α

Factor payments are now a function of the trend stationary human capital and trend stationary capital per worker, kst+1=kt+1/Ht. Since human capital and physical capital per worker both grow at the same rate g along the balanced growth path, factor payments are stationary (the ratio kt+1/et is constant along the balanced growth path).

Applying the same process to the social security payment, the social security tax rate, and the market clearing condition we have the following stationary equations.

(44)SSst=gwtest1θt
(45)τSt=μnθtexpεt1εt1
(46)kst+1=1ngexpεt1εtsst.

We can now use the stationary system of equations above to determine the steady state for the economy. First, assume a constant policy set τE,τS, where variables without t denote steady state values. Also assume that all shocks are zero, εt=0 for t. Finally, normalize effective units of labor to one in the steady state. This last assumption allows the model to nest the standard two period economy with overlapping generations when education spending is completely ineffective. Given these assumptions we can solve for the steady state capital stock for a given value of the return to capital R using eq. (43). The steady state capital stock can then be used to find the effective wage in eq. (42) and household savings in eq. (46). The steady state effective wage rate, along with the policy set τE,τS, gives us the steady state replacement rate in eq. (45) and education spending per child in eq. (38). These values and the policy set can be used to find household consumption during the working period, eq. (40). Finally, the steady state social security payment can be found using eq. (44) and retirement consumption can be found using eq. (41). The free parameters are A in the education production function and β in the Euler equation. With this steady state we can log-linearize the system above to express the variables in log-deviation form, which we provide in Table 1 and discussed in the body of the paper.

B

This appendix solves the system of equations in Table 1 for policy rule 1. In this case, we set the policy variables τEdt=0 and τSdt=0 for all t. This implies education spending per child and the replacement rate adjust to any changes in the demographic composition of society.

Start with the Euler equation in deviation form (the equation numbering in this appendix is the same as in the body of the paper):

(47)cWdt=cRdt+1ηRdt+1.

Now, use eq. (29) to express the left-hand side of the Euler equation as follows:

cWdt=1λ1wdt+1λ1edt11λ1λ1sdt.

Note that this equation imposes the policy restrictions under the first policy rule. Now eliminate the wage rate, (27) wdt=αkdtαedt1, and collect like terms:

cWdt=αλ1kdt+1αλ1edt11λ1λ1sdt.

Finally eliminate capital, (28) lagged one period kdt=sdt1+εt2εt1, and collect like terms:

cWdt=1λ1λ1sdt+αλ1sdt1+1αλ1edt1αλ1εt1+αλ1εt2.

Now, use eq. (30) to express the right-hand side of the Euler equation as follows:

cRdt+1ηRdt+1=λ4Rdt+1+λ4sdt+1λ4SSdt+1ηRdt+1.

Eliminate the social security payment using eqs. (24) and (25), updated one period, SSdt+1=wdt+1+edt+εtεt1 and collect like terms.

=λ4ηRdt+1+λ4sdt+1λ4wdt+1+edt+εtεt1

Eliminate factor payments using eqs. (27) and (28), updated one period, and collect like terms.

=α1ηλ4ηkdt+1+1α1ηedt+λ4sdt+1λ4εt1λ4εt1

Finally, eliminate capital and collect like terms.

cRdt+1ηRdt+1=α1η+ηsdt
+1α1ηedt+1α1ηεt1α1ηεt

Use the Euler equation, equating both sides using the equations above, and solve for current period savings, sdt:

(48)sdt=λ51λ5edt+α1λ5sdt1+1α1λ5edt1+λ51λ5εtλ5α1λ5εt1+α1λ5εt2,

where λ5=λ11α1η.

We now solve the system for our second state variable, human capital. First substitute eq. (23) into eq. (22).

edt=γwdt+edt1+εt1εt

Next, eliminate the effective wage rate and collect like terms.

(49)edt=γαsdt1+γ1αedt1γεt+γ1αεt1+γαεt1

Equations (48) and (49) result in a block recursive system of equations. To express this system in terms of a VAR model, substitute (49) into (48). This gives us eqs. (32) and (33) in the body of the paper. The partial elasticities (reduced form coefficients) of the system are provided in Table 2 and Table 3.

C

This appendix provides the proof for proposition 4. First, set γ=1 for each of the coefficients found in Table 2 and Table 3. This results in the following system of equations governing the two key state variables, savings and human capital (sdt and edt).

(50)sdt=αsdt1+1αedt1αεt1+αεt2
(51)edt=αsdt1+1αedt1εt+1αεt1+αεt2

Next, conjecture a demographic shock ε00 and assume that the system starts in the steady state at the time of the shock (time period zero).

Given this set of assumptions, the sequence for each of the state variables can be found using eqs. (50) and (51).

Period 0

sd0=αsd1+1αed1αε1+αε2=0
ed0=αsd1+1αed1ε0+1αε1+αε2=ε0

Period 1

sd1=αsd0+1αed0αε0+αε1=1αε0αε0=ε0
ed1=αsd0+1αed0ε1+1αε0+αε1=1αε0+1αε0=0

Period 2

sd2=αsd1+1αed1αε1+αε0=αε0+αε0=0
ed2=αsd1+1αed1ε2+1αε1+αε0=αε0+αε0=0

Periodt3_

sdt=0andedt=0

Given the sequence for savings, the capital stock per worker sequence is as follows (See Table 1).

Period 0

kd0=sd1ε1+ε2=0

Period 1

kd1=sd0ε0+ε1=ε0

Period 2

kd2=sd1ε1+ε0=ε0+ε0=0

Periodt3_

kdt=0

Given the capital stock per worker sequence and the sequence for human capital, the factor price sequences are as follows (See Table 1).

Period 0

wd0=αkd0αed1=0
Rd0=1αkd0+1αed1=0

Period 1

wd1=αkd1αed0=αε0+αε0=0
Rd1=1αkd1+1αed0=1αε01αε0=0

Period 2

wd2=αkd2αed1=0
Rd2=1αkd2+1αed1=0

Periodt3_

wdt=0andRdt=0

This last result demonstrates the complete factor price smoothing effect when γ=1 under policy rule 1. Thus, proving part (a) of Proposition 4. Before determining the consumption profiles for each generation, we need the social security payment sequence (See Table 1).

Period 0

SSd0=wd0+ed1+ε1ε2=0

Period 1

SSd1=wd1+ed0+ε0ε1=ε0+ε0=0

Period 2

SSd2=wd2+ed1+ε1ε0=ε0

Period 3

SSd3=wd3+ed2+ε2ε1=0

Period t4

SSdt=0

Given the factor price sequences and the social security payment sequence, the consumption sequences are as follows (See Table 1).

Period 0

cwd0=1λ1wd0+1λ1ed11λ1λ1sd0=0
cRd0=λ4Rd0+λ4sd1+1λ4SSd0=0

Period 1

cwd1=1λ1wd1+1λ1ed01λ1λ1sd1=1λ1ε0+1λ1λ1ε0=ε0
cRd1=λ4Rd1+λ4sd0+1λ4SSd1=0

Period 2

cwd2=1λ1wd2+1λ1ed11λ1λ1sd2=0
cRd2=λ4Rd2+λ4sd1+1λ4SSd2=λ4ε01λ4ε0=ε0

Period 3

cwd3=1λ1wd3+1λ1ed21λ1λ1sd3=0
cRd3=λ4Rd3+λ4sd2+1λ4SSd3=0

Period t4

cwdt=0andcRdt=0

Thus, the consumption profile for each generation takes the following form:

Initial Old: cRd0=0

Initial Working Generation (Parents): cwd0=0andcRd1=0

Children subject to Demographic Shock: cwd1=ε0andcRd2=ε0

All Future Generations (t2): cwdt=0andcRdt+1=0

Thus, under policy rule 1, the demographic shock is borne by the generation subject to the shock when γ=1 and all other generations are left unaffected. This is part (b) in Proposition 4.    ■

D

This appendix solves the system of equations in Table 1 for policy rule 2. In this case, we set the policy variables hdt=0 and τSdt=0 for all t. This implies that education spending per child remains constant for each generation and the education tax rate adjusts to any changes in the demographic composition of society.

From eqs. (22) and (23) in the body of the paper, we have,

(52)edt=γhdt=0
(53)0=wdt+τEdt+εt1εt,

which demonstrates that the education component drops out of the model. To solve the system for the one remaining state variable, savings, we follow the same procedure as in B. First, start with the left-hand side of the Euler equation,

cWdt=1λ1wdtλ2λ1τEdt1λ1λ1sdt.

Eliminate the education tax rate (53) and collect like terms

cWdt=1+λ2λ1wdtλ2λ1εt+λ2λ1εt11λ1λ1sdt.

Now eliminate the factor payment and collect like terms,

cWdt=1+λ2αλ1kdtλ2λ1εt+λ2λ1εt11λ1λ1sdt.

Finally, eliminate capital using the market clearing equation and collecting like terms,

cWdt=1λ1λ1sdt+1+λ2αλ1sdt1λ2λ1εt+λ21+λ2αλ1εt1+1+λ2αλ1εt2.

Now solve for savings on the right-hand side of the Euler equation. Again, the solution process is equivalent to the one found in Appendix B (minus the education variable):

cRdt+1ηRdt+1=α1η+ηsdt+1α1ηεt1α1ηεt.

Equating both sides of Euler equation and solving for savings in period t results in the equation of motion for the savings variable (eq. (34)). The coefficients are provided in Table 7.

References

Abel, Andrew B. 2001. “Will Bequests Attenuate the Predicted Meltdown in Stock Prices When Baby Boomers Retire?” The Review of Economics and Statistics 83-4: 589–95.10.1162/003465301753237678Search in Google Scholar

Abel, Andrew B. 2003. “The Effect of a Baby Boom on Stock Prices and Capital Accumulation in the Presence of Social Security.” Econometrica 71-2: 551–78.10.1111/1468-0262.00417Search in Google Scholar

Acemoglu, Daron, and Pascual Restrepo. 2017. “Secular Stagnation? the Effect of Aging on Economic Growth in the Age of Automation.” NBER Working Papers Series, No. 23077.10.3386/w23077Search in Google Scholar

Acemoglu, Daron, and Pascual Restrepo. 2018. “The Race between Man and Machine: Implications of Technology for growth, Factor Shares and Employment.” American Economic Review 108 (6): 1488–542.10.3386/w22252Search in Google Scholar

Auerbach, Alan, and Laurence Kotlikoff. 1987. Dynamic Fiscal Policy. Cambridge, MA: Cambridge University Press.Search in Google Scholar

Ball, Laurence, and N. Gregory Mankiw. 2007. “Intergenerational Risk Sharing in the Spirit of arrow, debreu, and rawls, with Applications to Social Security Design.” Journal of Political Economy 115-4: 523–47.10.3386/w8270Search in Google Scholar

Bohn, Henning. 1997. “Social Security Reform and Financial Markets.” In Social Security Reform, edited by S. Sass, and R. Triest, Boston: Federal Reserve Bank of Boston.Search in Google Scholar

Bohn, Henning. 2001. “Social Security and Demographic Uncertainty: the Risk Sharing Properties of Alternative Policies.” In Risk Aspects of Investment Based Social Security Reform, edited by J. Campbell, and M. Feldstein, 203–41. Chicago: University of Chicago Press.10.7208/chicago/9780226092560.003.0007Search in Google Scholar

Bohn, Henning. 2002. “Retirement Savings in an Aging Society: A Case for Innovative Government Debt Management.” In Aging, Financial markets, and Monetary Policy, edited by A Auerbach, and H. Herrman, 139–81. Berlin: Springer.10.1007/978-3-662-04779-8_10Search in Google Scholar

Bohn, Henning. 2006. “Who Bears What Risk? An Intergenerational Perspective.” In Restructuring Retirement Risks, edited by D. Blitzstein, O. Mitchell, and S. Utkus, 10–36. Oxford: Oxford University Press.10.1093/0199204659.003.0002Search in Google Scholar

Bohn, Henning. 2009. “Intergenerational Risk Sharing and Fiscal Policy.” Journal of Monetary Economics 56-6: 805–16.10.1016/j.jmoneco.2009.06.010Search in Google Scholar

Boldrin, Michele, and Ana Montes. 2005. “The Intergenerational State: Education and Pensions.” Review of Economic Studies 72: 651–64.10.1111/j.1467-937X.2005.00346.xSearch in Google Scholar

Boldrin, Michele, and Ana Montes. 2009. “Assessing the Efficiency of Public Education.” Journal of Population Economics 22: 285–309.10.1007/s00148-007-0178-zSearch in Google Scholar

Boldrin, Michele, and Aldo Rustichini. 2000. “Political Equilibria and Social Security.” Review of Economic Dynamics 3: 41–78.10.1006/redy.1999.0072Search in Google Scholar

Browning, Martin, Lars Peter Hansen, and James Heckman. 1999. “Micro Data and General Equilibrium Models.” In Handbook of Macroeconomics, edited by J. Taylor, and M. Woodford, 543–633. Amsterdam, The Netherhlands: Elsevier B.V.10.1016/S1574-0048(99)01011-3Search in Google Scholar

Cambpell, John Y. 1994. “Inspecting the Mechanism: an Analytical Approach to the Stochastic Growth Model.” Journal of Monetary Economics 33: 463–506.10.1016/0304-3932(94)90040-XSearch in Google Scholar

Demange, Gabrielle, and Guy Laroque. 1999. “Social Security and Demographic Shocks.” Econometrica 3: 527–42.10.1111/1468-0262.00035Search in Google Scholar

Easterlin, Richard. 1987. Birth and Fortune: the Impact of Numbers on Personal Welfare, 2nd ed. Chicago, Illinois: University of Chicago Press.Search in Google Scholar

Enders, Walter, and Harvey E. Lapan. 1982. “Social Security Taxation and Intergenerational Risk Sharing.” International Economic Review 23-3: 647–58.10.2307/2526380Search in Google Scholar

Glomm, Gerhard. 1997. “Parental Choice of Human Capital Investment.” Journal of Development Economics 53: 99–114.10.1016/S0304-3878(97)00010-2Search in Google Scholar

Glomm, Gerhard, and Michael Kaganovich. 2003. “Distributional Effects of Public Education in an Economy with Public Pensions.” International Economic Review 44 (3): 917–37.10.1111/1468-2354.t01-1-00094Search in Google Scholar

Glomm, Gerhard, and B. Ravikumar. 1992. “Public versus Private Investment in Human Capital: Endogenous Growth and Income Inequality.” The Journal of Political Economy 11-4: 818–34.10.1086/261841Search in Google Scholar

Gordon, Roger, and Hal Varian. 1988. “Intergenerational Risk Sharing.” Journal of Public Economcs 37: 185–202.10.3386/w1730Search in Google Scholar

Heer, Burkhard, and Andreas Irmen. 2014. “Population, pensions, an Endogenous Economic Growth.” Journal of Economic Dynamics and Control 46: 50–72.10.1016/j.jedc.2014.06.012Search in Google Scholar

Heijdra, Ben, and Laurie Reijnders. 2015. “Longevity Shocks with Age-Dependent Productivity Growth.” CESifo Working Paper 5364.10.2139/ssrn.2613884Search in Google Scholar

Iturbe-Ormaetxe, Inago, and Guadalupe Valera. 2012. “Social Security Reform and the Support for Public Education.” Journal of Population Economics 25: 609–34.10.1007/s00148-010-0338-4Search in Google Scholar

Jackson, Kirabo C., Rucker C. Johnson, and Claudia Persico. 2016. “The Effects of School Spending on Educational and Economic Outcomes: Evidence from School Finance Reforms.” The Quarterly Journal of Economics 131 (1): 157–218.10.3386/w20847Search in Google Scholar

Krueger, Dirk, and Felix Kubler. 2006. “Pareto-Improving Social Security Reform When Financial Markets are Incomplete.” American Economic Review 96 (3): 737–55.10.3386/w9410Search in Google Scholar

Krueger, Dirk, and Alexander Ludwig. 2007. “On the Consequences of Demographic Change for Rates of Return to capital, and the Distribution of Wealth and Welfare.” Journal of Monetary Economics 54: 59–87.10.3386/w12453Search in Google Scholar

Lee, Ronald. 2016. “macroeconomics, Aging and Growth,” NBER Working Papers Series, No. 22310.10.3386/w22310Search in Google Scholar

Lee, Ronald, and Andrew Mason. 2010. “Fertility, Human capital, and Economic Growth over the Demographic Transition.” European Journal of Population 26: 159–82.10.1007/s10680-009-9186-xSearch in Google Scholar

Lino, Mark, Kevin Kuczynski, Nestor Rodriguez, and TusaRebecca Schap. 2017. “Expenditures on Children by families, 2015.” USDA Center for Nutrition Policy and Promotion, Miscellaneous Report No. 1528-2015.Search in Google Scholar

Ludwig, Alexander, Thomas Schelkle, and Edgar Vogel. 2012. “Demographic change, Human Capital and Welfare.” Review of Economic Dynamics 15: 94–107.10.1016/j.red.2011.07.001Search in Google Scholar

Ludwig, Alexander, and Edgar Vogel. 2010. “Mortality, fertility, Education and Capital Accumulation in a Simple OLG Economy.” Journal of Population Economics 23: 703–35.10.1007/s00148-009-0261-8Search in Google Scholar

Pecchenino, Rowena, and Kelvin Utendorf. 1999. “Social security, Social welfare, and the Aging Population.” Journal of Population Economics 12: 607–23.10.1007/s001480050116Search in Google Scholar

Peled, Dan. 1982. “Informational Diversity over Time and the Optimality of Monetary Equilibria.” Journal of Economic Theory 28: 255–74.10.1016/0022-0531(82)90061-8Search in Google Scholar

Poterba, James M. 2001. “Demographic Structure and Asset Returns.” The Review of Economics and Statistics 83-4: 565–84.10.1162/003465301753237650Search in Google Scholar

Rangel, Antonio, and Richard Zeckhauser. 2001. “Can Market and Voting Institutions Generate Optimal Intergenerational Risk Sharing?” In Risk Aspects of Investment-Based Social Security Reform, edited by John Y. Campbell, and Martin Felstein, 113–52. Chicago, Illinois: University of Chicago Press.10.7208/chicago/9780226092560.003.0005Search in Google Scholar

Shiller, Robert. 1999. “Social Security and Institutions for intergenerational, Intragenerational and International Risk Sharing.” Carnegie-Rochester Conference Series on Public Policy 50: 165–204.10.3386/w6641Search in Google Scholar

NCES Fast Facts. 2018. U.S. Department of education, National Center for Education Statistics. Digest of Education Statistics, 2016 (NCES 2017-094). https://nces.ed.gov/fastfacts/display.asp?id=65Search in Google Scholar

Vogel, Edgar, Alexander Ludwig, and Axel Borch-Supan. 2017. “Aging and Pension Reform: Extending the Retirement Age and Human Capital Formation.” Journal of Pension Economics and Finance 16-1: 81–107.10.3386/w18856Search in Google Scholar

Weil, D. 2008. “Population Aging. ” In New Palgrave Dictionary of Economics, 2nd ed., edited by Steveven Durlauf and Lawrence Blume. Journal of Public Economics. London: Palgrave Macmillan.Search in Google Scholar


Supplemental Material

The online version of this article offers supplementary material (DOI:https://doi.org/10.1515/bejte-2018-0134).


Published Online: 2020-02-04

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 18.11.2025 from https://www.degruyterbrill.com/document/doi/10.1515/bejte-2018-0134/html?lang=en
Scroll to top button