IDEAS home Printed from https://ideas.repec.org/a/kap/reveho/v14y2016i1p207-229.html
   My bibliography  Save this article

Lifecycle-consistent female labor supply with nonlinear taxes: evidence from unobserved effects panel data models with censoring, selection and endogeneity

Author

Listed:
  • Anil Kumar

Abstract

This paper uses the Panel Study of Income Dynamics (PSID) from 1979 to 2007 to estimate within-period lifecycle-consistent labor supply elasticities of US females in a two-stage budgeting framework. The paper combines a variety of econometric approaches to estimate unobserved effects panel data models with censoring, selection and endogeneity. The paper finds evidence of substantial upward bias in estimated wage elasticities from pooled panel models which do not account for unobserved effects, as fixed effects and correlated random effects (CRE) specifications yield smaller elasticities. Estimates are also somewhat sensitive to using a lifecycle-consistent specification versus a standard static model. The lifecycle-consistent wage elasticity from a CRE model with instrumental variables is 0.56 on the extensive margin and 0.31 on the intensive margin for an overall wage elasticity of 0.87. The standard static model, on the other hand, yields a wage elasticity of 0.46 on the extensive margin and 0.13 on the intensive margin for an overall elasticity of 0.59. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Anil Kumar, 2016. "Lifecycle-consistent female labor supply with nonlinear taxes: evidence from unobserved effects panel data models with censoring, selection and endogeneity," Review of Economics of the Household, Springer, vol. 14(1), pages 207-229, March.
  • Handle: RePEc:kap:reveho:v:14:y:2016:i:1:p:207-229
    DOI: 10.1007/s11150-013-9217-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11150-013-9217-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11150-013-9217-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anil Kumar & Che-Yuan Liang, 2015. "Declining female labor supply elasticities in the U.S. and implications for tax policy: evidence from panel data," Working Papers 1501, Federal Reserve Bank of Dallas.
    2. Amadeo Fuenmayor & Rafael Granell & Mauro Mediavilla, 2018. "The effects of separate taxation on labor participation of married couples. An empirical analysis using propensity score," Review of Economics of the Household, Springer, vol. 16(2), pages 541-561, June.
    3. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Intergenerational correlation of self-employment in Western Europe," Economic Modelling, Elsevier, vol. 108(C).
    4. Liang, Che-Yuan, 2014. "Distribution-Free Structural Estimation with Nonlinear Budget Sets," Working Paper Series, Center for Fiscal Studies 2014:4, Uppsala University, Department of Economics.
    5. Lundberg, Jacob & Norell, John, 2018. "Taxes, benefits and labour force participation: A survey of the quasi-experimental literature," Ratio Working Papers 313, The Ratio Institute.

    More about this item

    Keywords

    Taxes and female labor supply; Lifecycle labor supply; Fixed effects models with censoring; Selection; Endogeneity; J22; H24; C14; C23; C24;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:reveho:v:14:y:2016:i:1:p:207-229. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.