메뉴 건너뛰기




Volumn 25, Issue 3, 2010, Pages 392-419

Dynamic treatment effect analysis of TV effects on child cognitive development

Author keywords

[No Author keywords available]

Indexed keywords


EID: 77249127898     PISSN: 08837252     EISSN: 10991255     Source Type: Journal    
DOI: 10.1002/jae.1165     Document Type: Article
Times cited : (15)

References (34)
  • 1
    • 66149085233 scopus 로고    scopus 로고
    • Econometric evaluation of social programs. Part III: Distributional treatment effects, dynamic treatment effects, dynamic discrete choice, and general equilibrium policy evaluation
    • Heckman JJ, Leamer EE (eds). North-Holland: Amsterdam
    • Abbring JH, Heckman JJ. 2007. Econometric evaluation of social programs. Part III: Distributional treatment effects, dynamic treatment effects, dynamic discrete choice, and general equilibrium policy evaluation. In Handbook of Econometrics, Vol. 6B, Heckman JJ, Leamer EE (eds). North-Holland: Amsterdam; 5145-5303.
    • (2007) Handbook of Econometrics , vol.6 B , pp. 5145-5303
    • Abbring, J.H.1    Heckman, J.J.2
  • 2
  • 3
    • 0040332008 scopus 로고    scopus 로고
    • Instrumental variables and the search for identification: From supply and demand to natural experiments
    • Angrist JD, Krueger AB. 2001. Instrumental variables and the search for identification: from supply and demand to natural experiments. Journal of Economic Perspectives 15: 69-85.
    • (2001) Journal of Economic Perspectives , vol.15 , pp. 69-85
    • Angrist, J.D.1    Krueger, A.B.2
  • 6
    • 42149119505 scopus 로고    scopus 로고
    • Preschool television viewing and adolescent test scores: Historical evidence from the Coleman study
    • Gentzkow M, Shapiro JM. 2008. Preschool television viewing and adolescent test scores: historical evidence from the Coleman study. Quarterly Journal of Economics 123: 279-323.
    • (2008) Quarterly Journal of Economics , vol.123 , pp. 279-323
    • Gentzkow, M.1    Shapiro, J.M.2
  • 7
    • 0035528171 scopus 로고    scopus 로고
    • Causal inference for complex longitudinal data: The continuous case
    • Gill RD, Robins JM. 2001. Causal inference for complex longitudinal data: the continuous case. Annals of Statistics 29: 1785-1811.
    • (2001) Annals of Statistics , vol.29 , pp. 1785-1811
    • Gill, R.D.1    Robins, J.M.2
  • 8
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger CWJ. 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37: 424-438.
    • (1969) Econometrica , vol.37 , pp. 424-438
    • Granger, C.W.J.1
  • 10
    • 0347649450 scopus 로고    scopus 로고
    • Policies to foster human capital
    • Heckman JJ. 2000. Policies to foster human capital. Research in Economics 54: 3-56.
    • (2000) Research In Economics , vol.54 , pp. 3-56
    • Heckman, J.J.1
  • 12
    • 0002816448 scopus 로고
    • Estimating vector autoregressions with panel data
    • Holtz-Eakin D, Newey W, Rosen HS. 1988. Estimating vector autoregressions with panel data. Econometrica 56: 1371-1395.
    • (1988) Econometrica , vol.56 , pp. 1371-1395
    • Holtz-Eakin, D.1    Newey, W.2    Rosen, H.S.3
  • 13
    • 0024782558 scopus 로고
    • The revenue-expenditure nexus: Evidence from local govern- ment data
    • Holtz-Eakin D, Newey W, Rosen HS. 1989. The revenue-expenditure nexus: evidence from local govern- ment data. International Economic Review 30: 415-429.
    • (1989) International Economic Review , vol.30 , pp. 415-429
    • Holtz-Eakin, D.1    Newey, W.2    Rosen, H.S.3
  • 14
    • 0001507937 scopus 로고
    • The allocation of time: Empirical findings, behavioral models, and problems of measurement
    • Juster FT, Stafford FP. 1991. The allocation of time: empirical findings, behavioral models, and problems of measurement. Journal of Economic Literature 29: 471-522.
    • (1991) Journal of Economic Literature , vol.29 , pp. 471-522
    • Juster, F.T.1    Stafford, F.P.2
  • 18
    • 39749150947 scopus 로고    scopus 로고
    • Matching estimating of dynamic treatment models: Some practical issues
    • Millimet D, Smith J, Vytlacil E (eds). JAI Press: Greenwich, CT
    • Lechner M. 2008. Matching estimating of dynamic treatment models: some practical issues. In Advances in Econometrics, Vol. 21, Millimet D, Smith J, Vytlacil E (eds). JAI Press: Greenwich, CT; 289-333.
    • (2008) Advances In Econometrics , vol.21 , pp. 289-333
    • Lechner, M.1
  • 21
    • 0034890458 scopus 로고    scopus 로고
    • Proportional treatment effects for count response panel data: Effects of binary exercise on health care demand
    • Lee MJ, Kobayashi S. 2001. Proportional treatment effects for count response panel data: effects of binary exercise on health care demand. Health Economics 10: 411-428.
    • (2001) Health Economics , vol.10 , pp. 411-428
    • Lee, M.J.1    Kobayashi, S.2
  • 24
    • 46149139403 scopus 로고
    • A new approach to causal inference in mortality studies with sustained exposure periods: Application to control of the healthy worker survivor effect
    • Robins JM. 1986. A new approach to causal inference in mortality studies with sustained exposure periods: application to control of the healthy worker survivor effect. Mathematical Modelling 7: 1393-1512
    • (1986) Mathematical Modelling , vol.7 , pp. 1393-1512
    • Robins, J.M.1
  • 28
    • 0002317236 scopus 로고    scopus 로고
    • Structural nested failure time models
    • Encyclopedia of Biostatistics, Armitage P, Colton T (eds). Wiley: Chichester
    • Robins JM. 1998. Structural nested failure time models. In Survival Analysis, Vol. 6, Encyclopedia of Biostatistics, Armitage P, Colton T (eds). Wiley: Chichester; 4372-4389.
    • (1998) Survival Analysis , vol.6 , pp. 4372-4389
    • Robins, J.M.1
  • 29
    • 0003135327 scopus 로고    scopus 로고
    • Marginal structural models versus structural nested models as tools for causal inference
    • The Environment and Clinical Trials, Halloran ME, Berry D (eds). Springer: Berlin
    • Robins JM. 1999. Marginal structural models versus structural nested models as tools for causal inference. In Statistical Models in Epidemiology: The Environment and Clinical Trials, Halloran ME, Berry D (eds). Springer: Berlin; 95-134.
    • (1999) Statistical Models In Epidemiology , pp. 95-134
    • Robins, J.M.1
  • 30
    • 1542637615 scopus 로고    scopus 로고
    • Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome
    • Robins JM, Greenland S, Hu FC. 1999. Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. Journal of the American Statistical Association 94: 687-700.
    • (1999) Journal of The American Statistical Association , vol.94 , pp. 687-700
    • Robins, J.M.1    Greenland, S.2    Hu, F.C.3
  • 31
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum PR, Rubin DB. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70: 41-55.
    • (1983) Biometrika , vol.70 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 33
    • 33751112989 scopus 로고    scopus 로고
    • Does watching television rot your mind? Estimates of the effect on test scores
    • Zavodny M. 2006. Does watching television rot your mind? Estimates of the effect on test scores. Economics of Education Review 25: 565-573.
    • (2006) Economics of Education Review , vol.25 , pp. 565-573
    • Zavodny, M.1
  • 34
    • 22344446311 scopus 로고    scopus 로고
    • Children's television viewing and cognitive outcomes: A longitudinal analysis of national data
    • Zimmerman FJ, Christakis DA. 2005. Children's television viewing and cognitive outcomes: a longitudinal analysis of national data. Archives of Pediatrics and Adolescent Medicine 159: 619-625.
    • (2005) Archives of Pediatrics and Adolescent Medicine , vol.159 , pp. 619-625
    • Zimmerman, F.J.1    Christakis, D.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.