Source: CORNELL UNIVERSITY submitted to
EARLY GAINS TO EARLY EDUCATION: A QUASI-NATURAL EXPERIMENT
Sponsoring Institution
State Agricultural Experiment Station
Project Status
TERMINATED
Funding Source
Reporting Frequency
Annual
Accession No.
0208490
Grant No.
(N/A)
Project No.
NYC-324335
Proposal No.
(N/A)
Multistate No.
(N/A)
Program Code
(N/A)
Project Start Date
Aug 1, 2006
Project End Date
Sep 30, 2009
Grant Year
(N/A)
Project Director
Lillard, D.
Recipient Organization
CORNELL UNIVERSITY
(N/A)
ITHACA,NY 14853
Performing Department
POLICY ANALYSIS AND MANAGEMENT
Non Technical Summary
To understand whether a child would perform better in school if he enters at a younger (or older) age one must account for the fact that parents choose when their child first starts formal schooling. Our project will do that by using differences across states and over time in the age states allow parents to first enroll their child in public school and also in the age by which a parent must enroll their child in school. With these data we can look for differences in performance among children who entered school at younger or older ages.
Animal Health Component
(N/A)
Research Effort Categories
Basic
100%
Applied
(N/A)
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
80260203080100%
Goals / Objectives
Estimate the relationship between age at entry into first grade and subsequent school performance, taking into account the simultaneous choice of a parent to work and to enroll her child in kindergarten and in pre-kindergarten programs such as nursery school, preschool or Head Start. Estimate the extent of bias from unobserved heterogeneity in existing estimates of this relationship. If there is evidence of gains in school performance, estimate whether and how long those gains persist.
Project Methods
We will use variation in the compulsory schooling laws that a child (parent) faces when deciding whether or not and at what age to enroll in school. In contrast to the existing literature, we will take advantage not only of differences in laws across states but also over time for members of the same family. These differences arise in two ways. First a state changes its laws after a child is born so his younger siblings are treated by a different law. Second, a family moves across state lines between the time an older and younger child enter school. These multiple sources of variation in the compulsory schooling laws provide more opportunities to identify causal effects of laws on age of entry.

Progress 10/01/08 to 09/30/09

Outputs
OUTPUTS: The data we have compiled is a major product of our project. However, in order to promote it, we felt it was important to compare it to similar data that were compiled by Daron Acemoglu and Joshua Angrist. Those researchers compiled data on school entry and exit ages and published a paper in 2000. Since then, and because they made their data available to other researchers, their compilation has been widely used. Because of this we felt it was important to directly compare the CoSLaw data with the data they compiled (hereafter we refer to that data set as the A&A2000 data). There were 93 state-year observations where the CoSLaw data did not match the A&A2000 data. We produced an appendix that presents each discrepancy, the data we use to code our compulsory laws, and how we coded data when the language of the law was ambiguous enough to allow for more than one reading of the law. PARTICIPANTS: Not relevant to this project. TARGET AUDIENCES: Not relevant to this project. PROJECT MODIFICATIONS: Not relevant to this project.

Impacts
In addition to the above technical appendix, we wrote a paper that uses the compulsory schooling data. That paper investigates whether youth who enter school at younger ages learn more and, if so, whether the learning persists in the long run. The results show that there is evidence that children who enter school at older age perform less well on both the reading recognition and mathematics standardized tests. This result holds up when one uses our compulsory schooling laws to instrument for the average age children enter school in each state. However, this apparent confirmation of an effect of age at entry disappears when one compares children in the same family who entered school at different ages (a family "fixed" effect). When one uses only variation in age at entry of siblings who were required to enter school at different ages, there is no difference in performance on these tests for children who entered earlier or later. This result is new and important information that will be used in the design of educational policies regarding school entry and mandated kindergarten attendance laws. It suggests that mandating kindergarten is not going to yield significant gains in school performance of youth who would otherwise not have attended kindergarten.

Publications

  • No publications reported this period


Progress 10/01/07 to 09/30/08

Outputs
OUTPUTS: During this period we constructed a data appendix that compared and contrasted the policy data on compulsory schooling laws with the laws complied by Joshua Angrist and Daron Acemoglu. The Angrist and Acemoglu data are the most widely used compilation of compulsory schooling policies. We are finishing this data appendix and will include it when we share the data. We also used the cleaned data in an analysis of the effects of the compulsory schooling laws on educational attainment. PARTICIPANTS: Not relevant to this project. TARGET AUDIENCES: Nothing significant to report during this reporting period. PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
We have used our compilation of the compulsory schooling laws in models of educational attainment. There we show that our compilation shows stronger correlations with attained education. We also use the laws to estimate whether more educated have differential mortality.

Publications

  • No publications reported this period


Progress 10/01/06 to 09/30/07

Outputs
OUTPUTS: During this year we have checked and added to our data on compulsory schooling. We collected data on whether each state requires children to attend kindergarten, when that requirement was first instituted, and other changes to the kindergarten requirements that occurred since a state first imposed it. We also spent quite a bit of time to check our coding of the compulsory schooling policies against the compilation of other researchers working with those data (who used sources different than ours). We have incorporated the new data and re-estimated our models. PARTICIPANTS: The project is being lead by Dr. Dean R. Lillard (PI) together with Prof. Jennifer Gerner (co-PI), both of Cornell University. They have been assisted by Cornell undergraduate students, Crystal Cun and Yuliya Neverova.

Impacts
Our preliminary evidence suggests that there are few statistically significant differences in early school performance of children who must enter school earlier rather than later. However, we are still refining our models.

Publications

  • No publications reported this period


Progress 01/01/06 to 12/31/06

Outputs
Over the past 12 months we presented preliminary research results at the annual meetings of the Population Association of America in Los Angeles, CA March 31-April 1, 2006. In that paper we examine how much the presence of older or younger siblings affects parental decisions to enroll a child in school. We find that children born later perform less well than their older siblings. The result is consistent with the idea that parents are able to spend less time helping a child when there are more children present who need attention.

Impacts
Our research will yield better estimates of whether and how compulsory schooling laws affect educational attainment at early ages.

Publications

  • No publications reported this period