IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp1667.html
   My bibliography  Save this paper

Low-Wage Employment in Portugal: A Mixed Logit Approach

Author

Listed:
  • Barros, Carlos Pestana

    (Universidade Técnica de Lisboa)

  • Proença, Isabel

    (Universidade Técnica de Lisboa)

  • Vieira, José António Cabral

    (University of the Azores)

Abstract

In this paper, we examine the determinants of low-wage employment in Portugal. For this purpose, we use a data file of the European Community Household Panel (ECHP) for the years 1998 and 1999. In order to take into account unobserved heterogeneity in the data, a random-parameter logit model is used to analyse the probability of a worker receiving a low wage. The results indicate that the consideration that the effects of the explanatory variables are the same across all individuals, such as is assumed in most of the literature may be misleading. From the policy perspective, this implies that the use of a single instrument in order to combat low-wage employment is inappropriate to satisfy the whole population. In view of this, policies tailored by clusters would be more appropriate.

Suggested Citation

  • Barros, Carlos Pestana & Proença, Isabel & Vieira, José António Cabral, 2005. "Low-Wage Employment in Portugal: A Mixed Logit Approach," IZA Discussion Papers 1667, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp1667
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp1667.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    2. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    3. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    4. Rita Asplund & Peter Sloane & Ioannis Theodossiou (ed.), 1998. "Low Pay and Earnings Mobility in Europe," Books, Edward Elgar Publishing, number 1533.
    5. Rannia Leontaridi & Peter Sloane, 2001. "Measuring The Quality Of Jobs," LoWER Working Papers wp7, AIAS, Amsterdam Institute for Advanced Labour Studies.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    7. Teulings,Coen & Hartog,Joop, 2008. "Corporatism or Competition?," Cambridge Books, Cambridge University Press, number 9780521049399, October.
    8. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    9. Andrew Chesher & J. M. C. Santos Silva, 2002. "Taste Variation in Discrete Choice Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 147-168.
    10. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    11. repec:bla:revinw:v:44:y:1998:i:3:p:325-43 is not listed on IDEAS
    12. Lorenzo Cappellari, 2000. "Low‐wage mobility in the Italian labour market," International Journal of Manpower, Emerald Group Publishing Limited, vol. 21(3/4), pages 264-290, May.
    13. Mark B. Stewart & Joanna K. Swaffield, 1999. "Low Pay Dynamics and Transition Probabilities," Economica, London School of Economics and Political Science, vol. 66(261), pages 23-42, February.
    14. Jan Rouwendal & Erik Meijer, 2001. "Preferences for Housing, Jobs, and Commuting: A Mixed Logit Analysis," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 475-505, August.
    15. José Cabral Vieira, 2005. "Low-wage mobility in the Portuguese labour market," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 4(1), pages 1-14, April.
    16. Michael Bruno & Jeffrey D. Sachs, 1985. "Economics of Worldwide Stagflation," NBER Books, National Bureau of Economic Research, Inc, number brun85-1.
    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. Wicker, Pamela & Prinz, Joachim & von Hanau, Tassilo, 2012. "Estimating the value of national sporting success," Sport Management Review, Elsevier, vol. 15(2), pages 200-210.
    2. Mendes, Rute & van den Berg, Gerard J. & Lindeboom, Maarten, 2010. "An empirical assessment of assortative matching in the labor market," Labour Economics, Elsevier, vol. 17(6), pages 919-929, December.

    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. Carlos Pestana Barros & Isabel Proença, 2005. "Mixed Logit Estimation of Radical Islamic Terrorism in Europe and North America," Journal of Conflict Resolution, Peace Science Society (International), vol. 49(2), pages 298-314, April.
    2. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    3. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    4. Deka, Devajyoti & Carnegie, Jon, 2021. "Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey," Journal of Transport Geography, Elsevier, vol. 91(C).
    5. Czajkowski, Mikołaj & Bartczak, Anna & Giergiczny, Marek & Navrud, Stale & Żylicz, Tomasz, 2014. "Providing preference-based support for forest ecosystem service management," Forest Policy and Economics, Elsevier, vol. 39(C), pages 1-12.
    6. De Valck, Jeremy & Vlaeminck, Pieter & Liekens, Inge & Aertsens, Joris & Chen, Wendy & Vranken, Liesbet, 2012. "The sources of preference heterogeneity for nature restoration scenarios," Working Papers 146522, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    7. Gillespie Rob & Kragt Marit E., 2012. "Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia," Journal of Benefit-Cost Analysis, De Gruyter, vol. 3(2), pages 1-29, May.
    8. Robert Gillespie & Jeff Bennett, 2011. "Willingness to pay for kerbside recycling the Brisbane Region," Environmental Economics Research Hub Research Reports 1097, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    9. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    10. Longzhong Shi & Xuan Chen & Bo Chen, 2023. "Covid‐19‐tested food labels," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(2), pages 203-230, June.
    11. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Sustainability Indicators and Environmental Valuation Working Papers 12224, Fondazione Eni Enrico Mattei (FEEM).
    12. Kjaer, Trine & Gyrd-Hansen, Dorte, 2008. "Preference heterogeneity and choice of cardiac rehabilitation program: Results from a discrete choice experiment," Health Policy, Elsevier, vol. 85(1), pages 124-132, January.
    13. Pouliakas, Konstantinos & Theodossiou, Ioannis, 2005. "Socio-Economic Differences in the Satisfaction of High-Pay and Low-Pay Jobs in Europe," MPRA Paper 16733, University Library of Munich, Germany, revised 10 Aug 2009.
    14. Jagannathan, Radha & Camasso, Michael J & LaFleur, Jocelyn & Monteleone, Simona, 2024. "Modeling the employment decisions of young men and women in nine European countries: An application of random utility theory and revealed preference," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 233-247.
    15. Poudel, Niranjan & Singleton, Patrick A., 2024. "Willingness to pay for changes in travel time and work time: A stated choice experiment of US commuters," Research in Transportation Economics, Elsevier, vol. 103(C).
    16. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    17. Marco A. Palma & Dmitry V. Vedenov & David Bessler, 2020. "The order of variables, simulation noise, and accuracy of mixed logit estimates," Empirical Economics, Springer, vol. 58(5), pages 2049-2083, May.
    18. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    19. Søren Olsen, 2009. "Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 591-610, December.
    20. Gutsche, Gunnar & Ziegler, Andreas, 2019. "Which private investors are willing to pay for sustainable investments? Empirical evidence from stated choice experiments," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 193-214.

    More about this item

    Keywords

    low-wage employment; random-parameter logit model; public policy;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp1667. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.