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References (47)
-
Steven Lehrer, Weili Ding (2004)
Estimating Dynamic Treatment Effects from Project STAR -
M. Lechner (2004)
Sequential Matching Estimation of Dynamic Causal ModelsEconometrics eJournal
-
Zhong Zhao (2004)
Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo EvidenceReview of Economics and Statistics, 86
-
J. Angrist, W. Evans (1996)
Children and Their Parents&Apos; Labor Supply: Evidence from Exogenous Variation in Family SizeNBER Working Paper Series
-
M. Lechner (2008)
A note on endogenous control variables in causal studiesStatistics & Probability Letters, 78
-
A. Dawid (1979)
Conditional Independence in Statistical TheoryJournal of the royal statistical society series b-methodological, 41
-
C. Granger (1969)
Investigating causal relations by econometric models and cross-spectral methods -
J. Heckman, J. Walker (1990)
The relationship between wages and income and the timing and spacing of births: evidence from Swedish longitudinal data.Econometrica : journal of the Econometric Society, 58 6
-
R. Rosenfeld (1996)
Womens work histories.Population and Development Review, 22
-
D. Rubin (1974)
Estimating causal effects of treatments in randomized and nonrandomized studies.Journal of Educational Psychology, 66
-
P. Rosenbaum, D. Rubin (1984)
Reducing Bias in Observational Studies Using Subclassification on the Propensity ScoreJournal of the American Statistical Association, 79
-
Robert Moffitt (1984)
Profiles of fertility, labour supply and wages of married women: a complete life-cycle model.The Review of economic studies, 51
-
D. Rubin (1990)
[On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational StudiesStatistical Science, 5
-
U. Pötter, H. Blossfeld (2001)
Causal Inference from Series of EventsEuropean Sociological Review, 17
-
(2004)
Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review -
M. Lechner (2005)
The Empirical Analysis of East German Fertility after Unification: An UpdateEuropean Journal of Population / Revue européenne de Démographie, 17
-
Marco Francesconi (2002)
A Joint Dynamic Model of Fertility and Work of Married WomenJournal of Labor Economics, 20
-
V. Hotz, Robert Miller (1988)
An Empirical Analysis of Life Cycle Fertility and Female Labor Supply.Econometrica, 56
-
V. Hotz, J. Klerman, R. Willis (1997)
Chapter 7 The economics of fertility in developed countriesHandbook of Population and Family Economics, 1
-
M. Lechner, Ruth Miquel (2001)
A Potential Outcome Approach to Dynamic Programme Evaluation: Nonparametric IdentificationEconometrics eJournal
-
C. Granger (1986)
Statistics and Causal Inference: CommentJournal of the American Statistical Association, 81
-
R. Gill, J. Robins (2001)
Causal inference for complex longitudinal data: the continuous casePhysica D: Nonlinear Phenomena
-
D. Klepinger, S. Lundberg, R. Plotnick (1999)
How Does Adolescent Fertility Affect the Human Capital and Wages of Young WomenJournal of Human Resources, 34
-
J. Robins (1986)
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effectMathematical Modelling, 7
-
M. Lechner (2002)
Microeconometric Evaluation of Active Labour Market PoliciesLabor: Public Policy & Regulation
-
M. Lechner (1999)
Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence AssumptionEconometrics eJournal
-
R. Connelly (1996)
Comments on the Fertility/Employment InteractionPopulation and Development Review, 22
-
C. Sims (1972)
Money, Income, and CausalityThe American Economic Review, 62
-
J. Abbring (2003)
Dynamic Econometric Program EvaluationEconometrics eJournal
-
M. Lechner, Stephan Wiehler (2007)
Does the Order and Timing of Active Labor Market Programs Matter?POL: European Markets (Topic)
-
Ruth Miquel (2003)
Identification of Effects of Dynamic Treatments with a Difference-in-Differences ApproachEconometrics eJournal
-
Cristino Arroyo, Junsen Zhang (1997)
Dynamic microeconomic models of fertility choice: A surveyJournal of Population Economics, 10
-
M. Lechner (2009)
Sequential Causal Models for the Evaluation of Labor Market ProgramsJournal of Business & Economic Statistics, 27
-
Maria Tommaso (1999)
A Trivariate Model of Participation, Fertility and Wages: The Italian CaseCambridge Journal of Economics, 23
-
P. Holland (1985)
Statistics and Causal InferenceJournal of the American Statistical Association, 81
-
M. Lechner (2006)
Matching Estimating of Dynamic Treatment Models: Some Practical Issues, 21
-
J. Heckman, R. Lalonde, Jeffrey Smith (1999)
The Economics and Econometrics of Active Labor Market ProgramsHandbook of Labor Economics, 3
-
J. Robins (1987)
Errata to “a new approach to causal intefence in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect” Mathl Modelling 7(9–12), 1393–1512 (1986)Computers & Mathematics With Applications, 14
-
J. Spława-Neyman, D. Dabrowska, T. Speed (1990)
On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9Statistical Science, 5
-
Kenneth Troske, A. Voicu (2004)
Joint Estimation of Sequential Labor Force Participation and Fertility Decisions Using Markov Chain Monte Carlo TechniquesDevelopment Economics
-
J. Heckman (2000)
Causal Parameters and Policy Analysis in Economics: A Twentieth Century RetrospectiveQuarterly Journal of Economics, 115
-
J. Robins (1999)
Association, Causation, And Marginal Structural ModelsSynthese, 121
-
J. Robins, S. Greenland, Fan Hu, J. Neuhaus, D. Rubin, C. Frangakis, L. Wasserman, S. Zeger, K. Liang (1999)
Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. Commentary. Authors' replyJournal of the American Statistical Association, 94
-
G. Imbens (1999)
The Role of the Propensity Score in Estimating Dose-Response FunctionsEconometrics eJournal
-
R. Sauer, Daniela Boca (2006)
Life Cycle Employment and Fertility Across Institutional EnvironmentsLabor: Demographics & Economics of the Family
-
P. Rosenbaum (2006)
Matched Sampling for Causal Effects: The Central Role of the Propensity Score in Observational Studies for Causal Effects -
D. Rubin (2004)
On principles for modeling propensity scores in medical researchPharmacoepidemiology and Drug Safety, 13
- Publisher
- Springer Netherlands
- Copyright
- © Springer Netherlands 2009
- ISBN
- 978-1-4020-9966-3
- Pages
- 31 –57
- DOI
- 10.1007/978-1-4020-9967-0_3
- Publisher site
- See Chapter on Publisher Site
Abstract
[This paper proposes to use dynamic treatment models to analyze the effects of fertility on labor market interactions. It argues that when large data sets are available the dynamic potential outcome model is an interesting modeling framework because it allows the careful consideration of the selection issues coming from the interaction of fertility and labor market decisions at different ages. It allows explicitly considering their dependence on the labor market and fertility history realized up to that period. There is no need to collapse the ‘endogeneity’ problem into a static setting since the dynamic nature and timing of the interaction can be explicitly addressed. Furthermore, the paper argues that this approach allows defining relevant parameters of interest in a more precise way. Based on artificial data, the approach is implemented and issues that may come up in practical applications of this approach are discussed.]
Published: Jan 1, 2009
Keywords: Labor Market; Propensity Score; Potential Outcome; Labor Market Outcome; Conditional Independence Assumption