Dynamic treatment effect analysis of TV effects on child cognitive development
We investigate whether TV watching at ages 6-7 and 8-9 affects cognitive development measured by math and reading scores at ages 8-9, using a rich childhood longitudinal sample from NLSY79. Dynamic panel data models are estimated to handle the unobserved child-specific factor, endogeneity of TV watching, and dynamic nature of the causal relation. A special emphasis is placed on the last aspect, where TV watching affects cognitive development, which in turn affects future TV watching. When this feedback occurs, it is not straightforward to identify and estimate the TV effect. We develop a two-stage estimation method which can deal with the feedback feature; we also apply the 'standard' econometric panel data approaches. Overall, for math score at ages 8-9, we find that watching TV during ages 6-7 and 8-9 has a negative total effect, mostly due to a large negative effect of TV watching at the younger ages 6-7. For reading score, there is evidence that watching no more than 2 hours of TV per day has a positive effect, whereas the effect is negative outside this range. In both cases, however, the effect magnitudes are economically small. Copyright © 2010 John Wiley & Sons, Ltd.
Volume (Year): 25 (2010)
Issue (Month): 3 ()
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- Matthew Gentzkow & Jesse M. Shapiro, 2006. "Does Television Rot Your Brain? New Evidence from the Coleman Study," NBER Working Papers 12021, National Bureau of Economic Research, Inc.
- James Heckman, 2000.
"Policies to Foster Human Capital,"
0028, Harris School of Public Policy Studies, University of Chicago.
- Michael Lechner, 2004.
"Sequential Matching Estimation of Dynamic Causal Models,"
University of St. Gallen Department of Economics working paper series 2004
2004-06, Department of Economics, University of St. Gallen.
- Lechner, Michael, 2004. "Sequential Matching Estimation of Dynamic Causal Models," IZA Discussion Papers 1042, Institute for the Study of Labor (IZA).
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
- Michael P. Keane & Kenneth I. Wolpin, 1995.
"The career decisions of young men,"
559, Federal Reserve Bank of Minneapolis.
- Joshua Angrist & Alan B. Krueger, 2001.
"Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments,"
NBER Working Papers
8456, National Bureau of Economic Research, Inc.
- Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
- Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
- Juster, F Thomas & Stafford, Frank P, 1991.
"The Allocation of Time: Empirical Findings, Behavioral Models, and Problems of Measurement,"
Journal of Economic Literature,
American Economic Association, vol. 29(2), pages 471-522, June.
- Juster, F. Thomas & Stafford, Frank P., 1990. "The Allocation of Time: Empirical Findings, Behavioural Models, and Problems of Measurement," Working Paper Series 258, Research Institute of Industrial Economics.
- Matthew Gentzkow & Jesse M. Shapiro, 2008. "Preschool Television Viewing and Adolescent Test Scores: Historical Evidence from the Coleman Study," The Quarterly Journal of Economics, MIT Press, vol. 123(1), pages 279-323, 02.
- Myoung-Jae Lee & Satoru Kobayashi, 2001. "Proportional treatment effects for count response panel data: effects of binary exercise on health care demand," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 411-428.
- Zavodny, Madeline, 2006. "Does watching television rot your mind? Estimates of the effect on test scores," Economics of Education Review, Elsevier, vol. 25(5), pages 565-573, October.
- Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988.
"Estimating Vector Autoregressions with Panel Data,"
Econometric Society, vol. 56(6), pages 1371-95, November.
- Tom Doan, . "RATS program to demonstrate IV estimation of VAR in panel data," Statistical Software Components RTZ00185, Boston College Department of Economics.
- Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
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