IDEAS home Printed from https://ideas.repec.org/p/vua/wpaper/1989-63.html

Pseudo maximum likelihood techniques in a simple rationing model of the Dutch labour market

Author

Listed:
  • Bierings, H.

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Sneek, K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bierings, H. & Sneek, K., 1989. "Pseudo maximum likelihood techniques in a simple rationing model of the Dutch labour market," Serie Research Memoranda 0063, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    • Handle: RePEc:vua:wpaper:1989-63
    as

    Download full text from publisher

    File URL: http://degree.ubvu.vu.nl/repec/vua/wpaper/pdf/19890063.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sneessens, H. R., 1983. "A macroeconomic rationing model of the belgian economy," European Economic Review, Elsevier, vol. 20(1-3), pages 193-215, January.
    2. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    3. Rosen, Harvey S & Quandt, Richard E, 1978. "Estimation of a Disequilibrium Aggregate Labor Market," The Review of Economics and Statistics, MIT Press, vol. 60(3), pages 371-379, August.
    4. Kooiman, P, 1984. "Smoothing the Aggregate Fix-Price Model and the Use of Business Survey Data," Economic Journal, Royal Economic Society, vol. 94(376), pages 899-913, December.
    5. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    6. Kooiman, P. & Kloek, T., 1985. "An empirical two market disequilibrium model for Dutch manufacturing," European Economic Review, Elsevier, vol. 29(3), pages 323-354.
    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. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.

    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. Kooiman, Peter & Van Dijk, Herman K. & Thurik, A. Roy, 1985. "Likelihood diagnostics and Bayesian analysis of a micro-economic disequilibrium model for retail services," Journal of Econometrics, Elsevier, vol. 29(1-2), pages 121-148.
    2. Becker Bettina & Theuringer Martin, 2001. "Macroeconomic Determinants of Contingent Protection: The Case of the European Union," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 50(3), pages 350-374, December.
    3. Hallin, Marc & La Vecchia, Davide, 2020. "A Simple R-estimation method for semiparametric duration models," Journal of Econometrics, Elsevier, vol. 218(2), pages 736-749.
    4. Barone-Adesi, Giovanni & Fusari, Nicola & Mira, Antonietta & Sala, Carlo, 2020. "Option market trading activity and the estimation of the pricing kernel: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 216(2), pages 430-449.
    5. Agostino Capponi & Zhaonan Qu, 2025. "Handling Sparse Non-negative Data in Finance," Papers 2509.01478, arXiv.org.
    6. Gary King, 1989. "A Seemingly Unrelated Poisson Regression Model," Sociological Methods & Research, , vol. 17(3), pages 235-255, February.
    7. Emilie Alberola & Benoît Chèze & Julien Chevallier, 2008. "The EU Emissions Trading Scheme : Disentangling the Effects of Industrial Production and CO2 Emissions on Carbon Prices," EconomiX Working Papers 2008-12, University of Paris Nanterre, EconomiX.
    8. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2018. "Seasonal quasi-vector autoregressive models for macroeconomic data," UC3M Working papers. Economics 26316, Universidad Carlos III de Madrid. Departamento de Economía.
    9. Stefan Boes & Michael Gerfin, 2016. "Does Full Insurance Increase the Demand for Health Care?," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1483-1496, November.
    10. Gurmu, Shiferaw & Rilstone, Paul & Stern, Steven, 1998. "Semiparametric estimation of count regression models1," Journal of Econometrics, Elsevier, vol. 88(1), pages 123-150, November.
    11. Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    12. Cassiman, Bruno & Veugelers, Reinhilde & Arts, Sam, 2018. "Mind the gap: Capturing value from basic research through combining mobile inventors and partnerships," Research Policy, Elsevier, vol. 47(9), pages 1811-1824.
    13. Plassard, Romain, 2022. "Diagnosing unemployment: the dual project of the ENSAE's band," MPRA Paper 113584, University Library of Munich, Germany.
    14. La Vecchia, Davide & Camponovo, Lorenzo & Ferrari, Davide, 2015. "Robust heart rate variability analysis by generalized entropy minimization," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 137-151.
    15. Cui, Xin & Wen, Lulu & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2025. "Innovating under pressure: How geopolitical risk exposure drives energy innovation in firms," Energy Economics, Elsevier, vol. 148(C).
    16. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    17. Vasiliki Christou & Konstantinos Fokianos, 2014. "Quasi-Likelihood Inference For Negative Binomial Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 55-78, January.
    18. Vânia G. Silva & Esmeralda A. Ramalho & Carlos R. Vieira, 2017. "The Use of Cheques in the European Union: A Cross-Country Analysis," Open Economies Review, Springer, vol. 28(3), pages 581-602, July.
    19. repec:gnv:wpaper:unige:76321 is not listed on IDEAS
    20. Song, Jingyu & Delgado, Michael & Preckel, Paul & Villoria, Nelson, 2016. "Pixel Level Cropland Allocation and Marginal Impacts of Biophysical Factors," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235327, Agricultural and Applied Economics Association.
    21. Vijverberg, Wim P. & Hasebe, Takuya, 2015. "GTL Regression: A Linear Model with Skewed and Thick-Tailed Disturbances," IZA Discussion Papers 8898, Institute of Labor Economics (IZA).

    More about this item

    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:vua:wpaper:1989-63. 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: R. Dam (email available below). General contact details of provider: https://edirc.repec.org/data/fewvunl.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.