The Head Start program is a federally funded program that provides access to early childhood education as well as health and nutrition resources to low-income children and their families. Kose (2023) studies the role of Head Start federal spending expansions in the 1990s using data from Texas. The author estimates the impacts of this investment on test scores and the achievement gaps in elementary school.
Kose (2021) finds that an increase of $500 per child in Head Start funding resulted in an increase of 0.03 standard deviations in combined math and reading test scores in third grade. In particular, the funding increase led to a 13 percent reduction in the difference between white and Hispanic combined test scores in third grade. This change persisted through fifth grade. Kose (2021) then provides a back-of-the-envelope projection from test scores to lifetime earnings, using methods similar to Kline and Walters (2016), to translate these impacts to an estimate the MVPF of the funding expansion.
MVPF = 2.5
The net cost is the sum of the direct costs and any fiscal externalities. The direct costs in this setting are $500 per child. The fiscal externalities result from the impact of increased earnings from head start, which in turn generate tax revenue.
To construct this, Kose (2021) uses a forecasting method employed in Kline and Walters (2016), which is in turn motivated by results in Chetty et al. (2011), that earnings increase by 10 percent for every standard deviation increase in test scores. To translate this earnings increase in percentage terms into a level impact on costs, the author notes that for the setting (4-year-old children in Texas who are eligible for free/reduced lunch), the present value of earnings for the relevant population is approximately $307,000. Combining, the test score impact suggests an increase in lifetime earnings of $950 (discounted at a 3% real interest rate). At a 20% tax rate, the government collects an additional $190 in tax revenue over the child’s lifetime. Putting this together implies a net cost to the government of $500 – $190 = $310 per child.
The author measures the willingness to pay as the net after-tax benefits to those who obtained head start. As noted above, the lifetime present discounted value of earnings impact is $950, which corresponds to $760 in after-tax earnings. This forms the willingness to pay estimate.
The MVPF of a $500 per child increase in Head Start funding is then the willingness to pay divided by the total costs: $760 / $310 = 2.45.
The author also notes that this estimate could be a lower bound, as it omits other potential cost savings. In particular, the paper finds statistically insignificant but negative impacts on the likelihood that a student is in special education. Incorporating these effects could further increase the MVPF.
Chetty, Raj, John N. Friedman and Jonah Rockoff (2011). “New Evidence on the Long-Term Impacts of Tax Credits.” IRS Statistics of Income White Paper. https://www.irs.gov/pub/irs-soi/11rpchettyfriedmanrockoff.pdf
Kline, Patrick and Christopher R Walters (2016). “Evaluating Public Programs with Close Substitutes: The Case of Head Start.” The Quarterly Journal of Economics, 131(4), 1795-1848. DOI: https://doi.org/10.1093/qje/qjw027
Kose, Esra (2023). “Public Investments in Early Childhood Education and Academic Performance: Evidence from Head Start in Texas.” Journal of Human Resources, 58(6): 2024-2069. DOI: https://doi.org/10.3368/jhr.0419-10147R2