IDEAS home Printed from https://ideas.repec.org/p/bge/wpaper/1069.html
   My bibliography  Save this paper

Simple Methods for Consistent Estimation of Dynamic Panel Data Sample Selection Models

Author

Listed:
  • Sergi Jiménez-Martín
  • Majid M. Al-Sadoon

Abstract

We analyse the properties of generalised method of moments-instrumental variables (GMM-IV) estimators of AR(1) dynamic panel data sample selection models. We show the consistency of the first-differenced GMM-IV estimator uncorrected for sample selection of Arellano and Bond (1991) (a property also shared by the Anderson and Hsiao,1982, proposal). Alternatively, the system GMM-IV estimator (Arellano and Bover, 1995, and Blundell and Bond, 1998) shows a moderate bias. We perform a Monte Carlo study to evaluate the finite sample properties of the proposed estimators. Our results confirm the absence of bias of the Arellano and Bond estimator under a variety of circumstances, as well as the small bias of the system estimator, mostly due to the correlation between the individual heterogeneity components in both the outcome and selection equations. However, we must not discard the system estimator because, in small samples, its performance is similar to or even better than that of the Arellano-Bond. These results hold in dynamic models with exogenous, predetermined or endogenous covariates. They are especially relevant for practitioners using unbalanced panels when either there is selection of unknown form or when selection is difficult to model.

Suggested Citation

  • Sergi Jiménez-Martín & Majid M. Al-Sadoon, 2019. "Simple Methods for Consistent Estimation of Dynamic Panel Data Sample Selection Models," Working Papers 1069, Barcelona School of Economics.
    • Handle: RePEc:bge:wpaper:1069
    as

    Download full text from publisher

    File URL: https://bw.bse.eu/wp-content/uploads/2019/01/1069-file.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gayle, George-Levi & Viauroux, Christelle, 2007. "Root-N consistent semiparametric estimators of a dynamic panel-sample-selection model," Journal of Econometrics, Elsevier, vol. 141(1), pages 179-212, November.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Andrew M. Jones & José M. Labeaga, 2003. "Individual heterogeneity and censoring in panel data estimates of tobacco expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 157-177.
    5. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LLC, vol. 9(1), pages 86-136, March.
    6. Anastasia Semykina & Jeffrey M. Wooldridge, 2018. "Binary response panel data models with sample selection and self‐selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 179-197, March.
    7. Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2001. "An analysis of housing expenditure using semiparametric models and panel data," Journal of Econometrics, Elsevier, vol. 101(1), pages 71-107, March.
    8. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    9. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    10. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693, Enero-Abr.
    11. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    12. Arellano, M. & Bover, O. & Labeaga, J.M., 1997. "Autoregressive Models with Sample Selectivity for Panel Data," Papers 9706, Centro de Estudios Monetarios Y Financieros-.
    13. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
    14. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    15. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    16. Olympia Bover & Manuel Arellano, 1997. "Estimating limited dependent variable models from panel data," Investigaciones Economicas, Fundación SEPI, vol. 21(2), pages 141-166, May.
    17. Hayakawa, Kazuhiko, 2007. "Small sample bias properties of the system GMM estimator in dynamic panel data models," Economics Letters, Elsevier, vol. 95(1), pages 32-38, April.
    18. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    19. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
    20. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    21. María Engracia Rochina-Barrachina, 1999. "A New Estimator for Panel Data Sample Selection Models," Annals of Economics and Statistics, GENES, issue 55-56, pages 153-181.
    22. repec:adr:anecst:y:1999:i:55-56:p:06 is not listed on IDEAS
    23. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    24. Labeaga, Jose M., 1999. "A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco," Journal of Econometrics, Elsevier, vol. 93(1), pages 49-72, November.
    25. Hung-pin Lai & Wen-Jen Tsay, 2012. "Maximum Likelihood Estimation of the Panel Sample Selection Model," IEAS Working Paper : academic research 12-A006, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Oct 2012.
    26. Ekaterini Kyriazidou, 2001. "Estimation of Dynamic Panel Data Sample Selection Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(3), pages 543-572.
    27. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    28. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Łukasz Augustowski & Piotr Kułyk, 2024. "Dynamic Analysis of CO 2 Emissions and Their Determinants in the Countries of Central and Eastern Europe," Energies, MDPI, vol. 17(18), pages 1-16, September.
    2. Joe Cho Yiu NG & Charles Ka Yui LEUNG & Suikang CHEN, 2022. "Corporate Real Estate Holding and Stock Returns: International Evidence from Listed Companies," ISER Discussion Paper 1158, Institute of Social and Economic Research, The University of Osaka.
    3. Lota D. Tamini & Aristide B. Valéa, 2021. "Investment in research and development and export performances of Canadian small and medium‐sized agri‐food firms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(3), pages 311-336, September.
    4. Sergi Jimenez-Martin & Catia Nicodemo & Stuart Redding, 2020. "Modelling the dynamic effects of elective hospital admissions on emergency levels in England," Empirical Economics, Springer, vol. 59(4), pages 1933-1957, October.
    5. Sewaid, Ahmed & Parker, Simon C. & Kaakeh, Abdulkader, 2021. "Explaining serial crowdfunders' dynamic fundraising performance," Journal of Business Venturing, Elsevier, vol. 36(4).
    6. Joe Cho Yiu Ng & Charles Ka Yui Leung & Suikang Chen, 2024. "Corporate Real Estate Holding and Stock Returns: Testing Alternative Theories with International Listed Firms," The Journal of Real Estate Finance and Economics, Springer, vol. 68(1), pages 74-102, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    2. Sergi Jiménez-Martín & José María Labeaga, 2016. "Monte Carlo evidence on the estimation of AR(1) panel data sample selection models," Working Papers 2016-01, FEDEA.
    3. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    4. Eric Akobeng, 2017. "Gross Capital Formation, Institutions and Poverty in Sub-Saharan Africa," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 20(2), pages 136-164, April.
    5. Lehkonen, Heikki & Heimonen, Kari, 2015. "Democracy, political risks and stock market performance," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 77-99.
    6. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    7. Piccoli, Luca & Tiezzi, Silvia, 2021. "Rational addiction and time-consistency: An empirical test," Journal of Health Economics, Elsevier, vol. 80(C).
    8. Vusal Musayev, 2016. "Externalities in Military Spending and Growth: The Role of Natural Resources as a Channel through Conflict," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(3), pages 378-391, June.
    9. Piper, Alan T., 2014. "An Investigation into Happiness, Dynamics and Adaptation," MPRA Paper 57778, University Library of Munich, Germany.
    10. Brey, Björn & Hertweck, Matthias S., 2020. "The Extension Of Short-Time Work Schemes During The Great Recession: A Story Of Success?," Macroeconomic Dynamics, Cambridge University Press, vol. 24(2), pages 360-402, March.
    11. Giulia Bettin & Riccardo Lucchetti & Claudia Pigini, 2016. "State dependence and unobserved heterogeneity in a double hurdle model for remittances: evidence from immigrants to Germany," Mo.Fi.R. Working Papers 127, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    12. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
    13. Heath Henderson & Leonardo Corral & Eric Simning & Paul Winters, 2015. "Land Accumulation Dynamics in Developing Country Agriculture," Journal of Development Studies, Taylor & Francis Journals, vol. 51(6), pages 743-761, June.
    14. Enrico Onali, 2014. "Moral Hazard, Dividends, and Risk in Banks," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(1-2), pages 128-155, January.
    15. Sobia Ehsan & Attiya Yasmin Javid, 2018. "Bank ownership structure, regulations and risk-taking: evidence from commercial banks in Pakistan," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 17(3), pages 185-209, November.
    16. Corrado Andini, 2013. "How well does a dynamic Mincer equation fit NLSY data? Evidence based on a simple wage-bargaining model," Empirical Economics, Springer, vol. 44(3), pages 1519-1543, June.
    17. Musayev, Vusal, 2014. "Commodity Price Shocks, Conflict and Growth: The Role of Institutional Quality and Political Violence," MPRA Paper 59786, University Library of Munich, Germany.
    18. Piper, Alan T., 2014. "The Benefits, Challenges and Insights of a Dynamic Panel assessment of Life Satisfaction," MPRA Paper 59556, University Library of Munich, Germany.
    19. Charles Mawusi, 2021. "Economic Uncertainty and Remittances to Developing Economies: A System GMM Approach," Working Papers hal-03147813, HAL.
    20. Bousmah, Marwân-al-Qays & Iwuji, Collins & Okesola, Nonhlanhla & Orne-Gliemann, Joanna & Pillay, Deenan & Dabis, François & Larmarange, Joseph & Boyer, Sylvie, 2022. "Costs and economies of scale in repeated home-based HIV counselling and testing: Evidence from the ANRS 12249 Treatment as Prevention trial in South Africa," Social Science & Medicine, Elsevier, vol. 305(C).

    More about this item

    Keywords

    panel data; sample selection; dynamic model; generalized method of moments;
    All these keywords.

    JEL classification:

    • J52 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Dispute Resolution: Strikes, Arbitration, and Mediation
    • 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:bge:wpaper:1069. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Bruno Guallar (email available below). General contact details of provider: https://edirc.repec.org/data/bargses.html .

    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.