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Self‐employment among women: Do children matter more than we previously thought?

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  • Anastasia Semykina

Abstract

This paper presents an estimation approach that addresses the problems of sample selection and endogeneity of fertility decisions when estimating the effect of young children on women's self‐employment. Using data from the National Longitudinal Survey of Youth 1979, 1982–2006, we find that ignoring self‐selection and endogeneity leads to underestimating the effect of young children. Once both sources of biases are accounted for, the estimated effect of young children roughly triples when compared to uncorrected results. This finding is robust to several changes in the specification and to the use of a different dataset.

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  • Anastasia Semykina, 2018. "Self‐employment among women: Do children matter more than we previously thought?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 416-434, April.
    • Handle: RePEc:wly:japmet:v:33:y:2018:i:3:p:416-434
    DOI: 10.1002/jae.2596
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    Cited by:

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    3. Teguh Budiman & Yayan Satyakti & Erie Febrian, 2021. "Islamic Bank Sustainability: An Econometric Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(2), pages 141-159, February.
    4. Baum, Christopher F. & Lööf, Hans & Stephan, Andreas & Viklund-Ros, Ingrid, 2022. "Innovation by start-up firms: The role of the board of directors for knowledge spillovers," Research Policy, Elsevier, vol. 51(1).
    5. Dolores Añón Higón & Daniel Bonvin, 2024. "Digitalization and trade participation of SMEs," Small Business Economics, Springer, vol. 62(3), pages 857-877, March.
    6. Yu, Shuye & Postepska, Agnieszka, 2020. "Flexible Jobs Make Parents Happier: Evidence from Australia," IZA Discussion Papers 13700, Institute of Labor Economics (IZA).
    7. Bernardo Fanfani & Filippo Passerini, 2024. "Do Alternative Work Arrangements Substitute Standard Employment? Evidence from Worker-Level Data," Working Papers wp1190, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Mañez, J.A. & Love, J.H., 2020. "Quantifying sunk costs and learning effects in R&D persistence," Research Policy, Elsevier, vol. 49(7).
    9. F Baum, Christopher & Lööf, Hans & Stephan, Andreas & Viklund-Ros, Ingrid, 2019. "Innovation by start-up firms: The influence of the board of directors," Working Paper Series in Economics and Institutions of Innovation 483, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 16 Aug 2020.
    10. Christopher F. Baum & Hans Lööf & Andreas Stephan & Ingrid Viklund-Ros, 2019. "Innovation by start-up firms: The influence of the board of directors for knowledge spillovers," Boston College Working Papers in Economics 988, Boston College Department of Economics, revised 31 Aug 2021.
    11. Fanfani, Bernardo & Passerini, Filippo, 2024. "Are Alternative Work Arrangements a Substitute for Standard Employment? Evidence from Worker-Level Data," IZA Discussion Papers 17399, Institute of Labor Economics (IZA).
    12. Dolores Añon Higón & Juan A. Daniel Bonvin, 2023. "Do digitalization spurs SMEs’ participation in foreign markets?," Working Papers 2307, Department of Applied Economics II, Universidad de Valencia.

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    More about this item

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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