IDEAS home Printed from https://ideas.repec.org/p/ags/eaae89/234636.html
   My bibliography  Save this paper

Panel Data Estimation of Labour Supply Equations for Dutch Dairy Farmers

Author

Listed:
  • Ooms, Daan
  • Hall, A.R. Alastair

Abstract

This research focuses on the estimation of labour supply equations for Dutch dairy farmers. Off-farm labour supply is characterised by the fact that only half of the farm households supply off-farm labour. This results in a sample selection estimation problem that has to be taken into account in estimation. In this research we use the panel data sample selection estimation method of Wooldridge (1995) to estimate the off-farm labour supply equation. Simulation results suggest that the decoupledness assumption of direct income paymenst in CAP reform might hold. At least there is a negligible effect through labour supply.

Suggested Citation

  • Ooms, Daan & Hall, A.R. Alastair, 2005. "Panel Data Estimation of Labour Supply Equations for Dutch Dairy Farmers," 89th Seminar, February 2-5, 2005, Parma, Italy 234636, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae89:234636
    DOI: 10.22004/ag.econ.234636
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/234636/files/Ooms%20et%20al.%202005%20Panel%20Data%20Estimation%20of%20Labour%20Supply%20Equations%20for%20Dutch%20Dairy%20Farmers.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.234636?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
    ---><---

    References listed on IDEAS

    as
    1. Huffman, Wallace E, 1980. "Farm and Off-Farm Work Decisions: The Role of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 14-23, February.
    2. Woldehanna, Tassew & Lansink, Alfons Oude & Peerlings, Jack, 2000. "Off-farm work decisions on Dutch cash crop farms and the 1992 and Agenda 2000 CAP reforms," Agricultural Economics, Blackwell, vol. 22(2), pages 163-171, March.
    3. 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.
    4. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    7. Ahituv, Avner & Kimhi, Ayal, 2002. "Off-farm work and capital accumulation decisions of farmers over the life-cycle: the role of heterogeneity and state dependence," Journal of Development Economics, Elsevier, vol. 68(2), pages 329-353, August.
    8. Weiss, Christoph R. & Briglauer, Wolfgang, 2000. "Determinants and Dynamics of Farm Diversification," FE Working Papers 0002, Christian-Albrechts-University of Kiel, Department of Food Economics and Consumption Studies.
    9. Barry K. Goodwin & Matthew T. Holt, 2002. "Parametric and Semiparametric Modeling of the Off-Farm Labor Supply of Agrarian Households in Transition Bulgaria," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 184-209.
    Full references (including those not matched with items on IDEAS)

    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. Ooms, Daan L. & Hall, Alastair R., 2005. "EU policy reform simulation based on panel data estimation of on- and off-farm labour supply equations for Dutch dairy farmers," 2005 Annual meeting, July 24-27, Providence, RI 19434, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Thia C. Hennessy & Tahir Rehman, 2008. "Assessing the Impact of the ‘Decoupling’ Reform of the Common Agricultural Policy on Irish Farmers’ Off‐farm Labour Market Participation Decisions," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 41-56, February.
    3. 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.
    4. H. Allen Klaiber & Klaus Salhofer & Stanley R. Thompson, 2017. "Capitalisation of the SPS into Agricultural Land Rental Prices under Harmonisation of Payments," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 710-726, September.
    5. 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.
    6. Coublucq, Daniel, 2013. "Demand estimation with selection bias: A dynamic game approach with an application to the US railroad industry," DICE Discussion Papers 94, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    7. John Bailey Jones & Minhee Kim & Byoung G. Park, 2020. "The Wage Penalty for Married Women of Career Interruptions: Evidence from the 1970s and the 1990s," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 783-807, August.
    8. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    9. Buligescu, B. & de Crombrugghe, D.P.I. & Mentesoglu, G. & Montizaan, R.M., 2008. "Estimating the wage penalty for maternal leave," ROA Research Memorandum 005, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    10. Jensen, Nathaniel D. & Mude, Andrew G. & Barrett, Christopher B., 2018. "How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya," Food Policy, Elsevier, vol. 74(C), pages 172-198.
    11. David Greenaway & Richard Kneller & Xufei Zhang, 2012. "The effect of exchange rates on firm exports and the role of FDI," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(3), pages 425-447, September.
    12. Han, Chirok & Lee, Goeun, 2022. "Bias correction for within-group estimation of panel data models with fixed effects and sample selection," Economics Letters, Elsevier, vol. 220(C).
    13. Corsi, Alessandro & Salvioni, Cristina, 2017. "Once part-timer always part-timer? Causes for persistence in off farm work state of farmers," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(2), September.
    14. Marine de Talance, 2017. "Quality Perceptions and School Choice in Rural Pakistan," Working Papers hal-01663029, HAL.
    15. Jia, Lili, 2012. "Land fragmentation and off-farm labor supply in China," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 66, number 66.
    16. Sabine Herrmann & Dubravko Mihaljek, 2010. "The determinants of cross-border bank flows to emerging markets: new empirical evidence on the spread of financial crises," BIS Working Papers 315, Bank for International Settlements.
    17. Drall, Anviksha & Mandal, Sabuj Kumar, 2021. "Investigating the existence of entry barriers in rural non-farm sector (RNFS) employment in India: A theoretical modelling and an empirical analysis," World Development, Elsevier, vol. 141(C).
    18. Murtazashvili, Irina & Wooldridge, Jeffrey M., 2016. "A control function approach to estimating switching regression models with endogenous explanatory variables and endogenous switching," Journal of Econometrics, Elsevier, vol. 190(2), pages 252-266.
    19. Massimiliano Bratti & Alfonso Miranda, 2010. "Endogenous Treatment Effects for Count Data Models with Sample Selection or Endogenous Participation," DoQSS Working Papers 10-05, Quantitative Social Science - UCL Social Research Institute, University College London, revised 10 Dec 2010.
    20. Robert Jäckle & Oliver Himmler, 2010. "Health and Wages: Panel Data Estimates Considering Selection and Endogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).

    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:ags:eaae89:234636. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.