IDEAS home Printed from https://ideas.repec.org/p/usg/econwp/201141.html
   My bibliography  Save this paper

Would you train me with my mental illness? Evidence from a discrete choice experiment

Author

Listed:
  • Deuchert, Eva
  • Kauer, Lukas
  • Meisen Zannol, Flurina

Abstract

The low employment among people with disabilities in general, and mental disorders in particular, generates high costs to the society. This raises the need to develop effective vocational rehabilitation methods. Supported Education/Employment is effective in increasing sustainable employment for people with mental disorders. This vocational rehabilitation method places patients directly in realistic work settings instead of training them in a protected work environment. Supported Education and Employment has not yet been widely implemented. Using a discrete choice experiment, we demonstrate that one of the key problems is to find employers willing to provide training. Non-cognitive dysfunctions are the main deterrents.

Suggested Citation

  • Deuchert, Eva & Kauer, Lukas & Meisen Zannol, Flurina, 2011. "Would you train me with my mental illness? Evidence from a discrete choice experiment," Economics Working Paper Series 1141, University of St. Gallen, School of Economics and Political Science.
  • Handle: RePEc:usg:econwp:2011:41
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/econwp/EWP-1141.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
    2. F. Bailey Norwood & Shida Rastegari Henneberry, 2006. "Show Me the Money! The Value of College Graduate Attributes as Expressed by Employers and Perceived by Students," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 484-498.
    3. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    4. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    5. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    6. Kluve, Jochen, 2010. "The effectiveness of European active labor market programs," Labour Economics, Elsevier, vol. 17(6), pages 904-918, December.
    7. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    8. Kevin Hollenbeck & Jean Kimmel, 2008. "Differences in the Returns to Education for Males by Disability Status and Age of Disability Onset," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 707-724, January.
    9. Mark Morrison & Thomas Brown, 2009. "Testing the Effectiveness of Certainty Scales, Cheap Talk, and Dissonance-Minimization in Reducing Hypothetical Bias in Contingent Valuation Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(3), pages 307-326, November.
    10. Susan L. Ettner & Richard G. Frank & Ronald C. Kessler, 1997. "The Impact of Psychiatric Disorders on Labor Market Outcomes," NBER Working Papers 5989, National Bureau of Economic Research, Inc.
    11. Karen Blumenschein & Glenn C. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, January.
    12. Ngina Chiteji, 2010. "Time Preference, Noncognitive Skills and Well Being across the Life Course: Do Noncognitive Skills Encourage Healthy Behavior?," American Economic Review, American Economic Association, vol. 100(2), pages 200-204, May.
    13. Glenn Blomquist & Karen Blumenschein & Magnus Johannesson, 2009. "Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(4), pages 473-502, August.
    14. Biesma, R.G. & Pavlova, M. & van Merode, G.G. & Groot, W., 2007. "Using conjoint analysis to estimate employers preferences for key competencies of master level Dutch graduates entering the public health field," Economics of Education Review, Elsevier, vol. 26(3), pages 375-386, June.
    15. John Bound & Timothy Waidmann, 2002. "Accounting for Recent Declines in Employment Rates among Working-Aged Men and Women with Disabilities," Journal of Human Resources, University of Wisconsin Press, vol. 37(2), pages 231-250.
    16. Adamowicz, Wiktor L. & Boxall, P.C. & Louviere, J.J., 1994. "Stated Preference Methods for Environmental Valuation," Staff Paper Series 232558, University of Alberta, Department of Resource Economics and Environmental Sociology.
    17. Melanie K. Jones & Paul L. Latreille & Peter J. Sloane, 2006. "Disability, gender, and the British labour market," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 407-449, July.
    18. Pinka Chatterji & Margarita Alegria & David Takeuchi, 2009. "Racial/Ethnic Differences in the Effects of Psychiatric Disorders on Employment," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 37(3), pages 243-257, September.
    19. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
    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. Stefan Eriksson & Per Johansson & Sophie Langenskiöld, 2017. "What is the right profile for getting a job? A stated choice experiment of the recruitment process," Empirical Economics, Springer, vol. 53(2), pages 803-826, September.
    2. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.

    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. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    2. Eva m. Berger & Guenther Koenig & Henning Müller & Felix Schmidt & Daniel Schunk, 2017. "Self-Regulation Training and Job Search Effort: A Natural Field Experiment within an Active Labor Market Program," Working Papers 1712, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    3. Eva M. Berger & Guenther Koenig & Henning Mueller & Felix Schmidt & Daniel Schunk, 2016. "Self-Regulation Training, Labor Market Reintegration of Unemployed Individuals, and Locus of Control Evidence from a Natural Field Experiment," Working Papers 1622, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 2016.
    4. Berger, Eva M. & Hermes, Henning & Koenig, Guenther & Schmidt, Felix & Schunk, Daniel, 2022. "Self-regulation training and job search input: A natural field experiment within an active labor market program," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    5. Acevedo, Paloma & Cruces, Guillermo & Gertler, Paul & Martinez, Sebastian, 2020. "How vocational education made women better off but left men behind," Labour Economics, Elsevier, vol. 65(C).
    6. Catherine L. Kling & Daniel J. Phaneuf & Jinhua Zhao, 2012. "From Exxon to BP: Has Some Number Become Better Than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 3-26, Fall.
    7. Calero, Carla & Gonzalez Diez, Veronica & Soares, Yuri S.D. & Kluve, Jochen & Corseuil, Carlos Henrique, 2017. "Can arts-based interventions enhance labor market outcomes among youth? Evidence from a randomized trial in Rio de Janeiro," Labour Economics, Elsevier, vol. 45(C), pages 131-142.
    8. Nicolas Jacquemet & Alexander James & Stéphane Luchini & Jason Shogren, 2011. "Social Psychology and Environmental Economics: A New Look at ex ante Corrections of Biased Preference Evaluation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(3), pages 413-433, March.
    9. Humphries, John Eric & Kosse, Fabian, 2017. "On the interpretation of non-cognitive skills – What is being measured and why it matters," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 174-185.
    10. Jacquemet, Nicolas & Joule, Robert-Vincent & Luchini, Stéphane & Shogren, Jason F., 2013. "Preference elicitation under oath," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 110-132.
    11. John Eric Humphries & Fabian Kosse, 2016. "On the interpretation of non-cognitive skills – what is being measured and why it matters," Working Papers 2016-025, Human Capital and Economic Opportunity Working Group.
    12. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    13. Jorge Rodríguez & Fernando Saltiel & Sergio Urzúa, 2022. "Dynamic treatment effects of job training," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 242-269, March.
    14. Green, Colin P. & Wilson, Luke B. & Zhang, Anwen, 2023. "Beauty, underage drinking, and adolescent risky behaviours," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 153-166.
    15. Humburg, Martin & van der Velden, Rolf, 2015. "Skills and the graduate recruitment process: Evidence from two discrete choice experiments," Economics of Education Review, Elsevier, vol. 49(C), pages 24-41.
    16. Mitchell, Mark & Favara, Marta & Porter, Catherine & Sanchez, Alan, 2020. "Human Capital Development: New Evidence on the Production of Socio-Emotional Skills," IZA Discussion Papers 13804, Institute of Labor Economics (IZA).
    17. Muller, Paul & van der Klaauw, Bas & Heyma, Arjan, 2017. "Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance," IZA Discussion Papers 10531, Institute of Labor Economics (IZA).
    18. Reinhard Uehleke & Bodo Sturm, 2017. "The Influence of Collective Action on the Demand for Voluntary Climate Change Mitigation in Hypothetical and Real Situations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 429-454, July.
    19. Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stéphane Luchini, 2011. "A Test of Cheap Talk in Different Hypothetical Contexts: The Case of Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 111-130, September.
    20. Douglas Kruse & Lisa Schur & Sean Rogers & Mason Ameri, 2018. "Why Do Workers with Disabilities Earn Less? Occupational Job Requirements and Disability Discrimination," British Journal of Industrial Relations, London School of Economics, vol. 56(4), pages 798-834, December.

    More about this item

    Keywords

    upported Vocational Education & Training; vocational rehabilitation; mental disorders; discrete choice experiment;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

    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:usg:econwp:2011:41. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/vwasgch.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.