IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/82375.html
   My bibliography  Save this paper

Determinants of Post-congressional Lobbying Employment

Author

Listed:
  • Kim, Jin-Hyuk

Abstract

This paper studies the determinants of lobbying-employment decisions of former members of the U.S. House of Representatives for the 105th–108thCongresses. The main empirical findings indicate that there are two groups more likely to become lobbyists: members not re-elected who had more conservative voting records and held important committee assignments and longer-serving members who voluntarily retired and voted less conservatively in their last term compared to their previous terms in office. A decomposition analysis confirms that the revolving doors for the two groups of legislators differ because of differences in employer response rather than in legislator characteristics.

Suggested Citation

  • Kim, Jin-Hyuk, 2012. "Determinants of Post-congressional Lobbying Employment," MPRA Paper 82375, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:82375
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/82375/1/MPRA_paper_82375.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Daniel Diermeier & Michael Keane & Antonio Merlo, 2005. "A Political Economy Model of Congressional Careers," American Economic Review, American Economic Association, vol. 95(1), pages 347-373, March.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    4. Jordi Blanes i Vidal & Mirko Draca & Christian Fons-Rosen, 2012. "Revolving Door Lobbyists," American Economic Review, American Economic Association, vol. 102(7), pages 3731-3748, December.
    5. Milyo, Jeffrey & Groseclose, Timothy, 1999. "The Electoral Effects of Incumbent Wealth," Journal of Law and Economics, University of Chicago Press, vol. 42(2), pages 699-722, October.
    6. Anderson, Sarah & Habel, Philip, 2009. "Revisiting Adjusted ADA Scores for the U.S. Congress, 1947–2007," Political Analysis, Cambridge University Press, vol. 17(1), pages 83-88, January.
    7. Weingast, Barry R & Moran, Mark J, 1983. "Bureaucratic Discretion or Congressional Control? Regulatory Policymaking by the Federal Trade Commission," Journal of Political Economy, University of Chicago Press, vol. 91(5), pages 765-800, October.
    8. Groseclose, Tim & Levitt, Steven D. & Snyder, James M., 1999. "Comparing Interest Group Scores across Time and Chambers: Adjusted ADA Scores for the U.S. Congress," American Political Science Review, Cambridge University Press, vol. 93(1), pages 33-50, March.
    9. Marianne Bertrand & Matilde Bombardini & Francesco Trebbi, 2014. "Is It Whom You Know or What You Know? An Empirical Assessment of the Lobbying Process," American Economic Review, American Economic Association, vol. 104(12), pages 3885-3920, December.
    10. Idson, Todd L & Feaster, Daniel J, 1990. "A Selectivity Model of Employer-Size Wage Differentials," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 99-122, January.
    11. Austen-Smith, David, 1995. "Campaign Contributions and Access," American Political Science Review, Cambridge University Press, vol. 89(3), pages 566-581, September.
    12. Jordi Blanes i Vidal & Mirko Draca & Christian Fons-Rosen, 2010. "In brief: 'Revolving door' lobbyists," CentrePiece - The magazine for economic performance 322, Centre for Economic Performance, LSE.
    13. 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.
    14. Fowler, James H., 2006. "Connecting the Congress: A Study of Cosponsorship Networks," Political Analysis, Cambridge University Press, vol. 14(4), pages 456-487, October.
    15. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    16. Kiewiet, D. Roderick & Zeng, Langche, 1993. "An Analysis of Congressional Career Decisions, 1947–1986," American Political Science Review, Cambridge University Press, vol. 87(4), pages 928-941, December.
    17. Hall, Richard L. & Van Houweling, Robert P., 1995. "Avarice and Ambition in Congress: Representatives' Decisions to Run or Retire from the U.S. House," American Political Science Review, Cambridge University Press, vol. 89(1), pages 121-136, March.
    18. Grier, Kevin B., 1991. "Congressional influence on U.S. monetary policy : An empirical test," Journal of Monetary Economics, Elsevier, vol. 28(2), pages 201-220, October.
    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. Anna Adamecz-Völgyi & Morag Henderson & Nikki Shure, 2023. "The labor market returns to “first-in-family” university graduates," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1395-1429, July.
    2. Rahman, Mustafizur & Al-Hasan, Md., 2018. "Male-Female wage gap and informal employment in Bangladesh: A quantile regression approach," MPRA Paper 90131, University Library of Munich, Germany.
    3. Arceo-Gómez, Eva O. & Campos-Vázquez, Raymundo M., 2014. "Evolución de la brecha salarial de género en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(323), pages .619-653, julio-sep.
    4. John M. de Figueiredo & Brian Kelleher Richter, 2013. "Advancing the Empirical Research on Lobbying," NBER Working Papers 19698, National Bureau of Economic Research, Inc.
    5. Christina Boll & Julian Sebastian Leppin, 2016. "Differential Overeducation in East and West Germany: Extending Frank's Theory on Economic Returns Changes the Picture of Disadvantaged Women," LABOUR, CEIS, vol. 30(4), pages 455-504, December.
    6. Jonathan Haughton & Wendi Sun & Le Thi Thanh Loan, 2018. "Discrimination against Migrants in Urban Vietnam," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(3), pages 211-232, August.
    7. Marcelo Varela Enríquez & Gustavo Salazar Espinoza, "undated". "Labor income gap in Ecuador due to discrimination, pre and post pandemic: Correction of error due to selection bias," Review of Socio - Economic Perspectives 202302, Reviewsep.
    8. Araar, Abdelkrim, 2021. "The Gender Gap in Smallholder Agricultural Productivity: The Case of Cameroon," 2021 Conference, August 17-31, 2021, Virtual 315902, International Association of Agricultural Economists.
    9. Jacqueline Mosomi, 2019. "Distributional changes in the gender wage gap in the post-apartheid South African labour market," WIDER Working Paper Series wp-2019-17, World Institute for Development Economic Research (UNU-WIDER).
    10. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    11. Margarita Kiryushina & Victor Rudakov, 2021. "The Gender Gap in Early-Career Wages of Universities' and Vocational Education Institutes' Graduates," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 172-198.
    12. Villarreal, Francisco G., 2014. "Financial Services and Household Inequality in Mexico," MPRA Paper 57075, University Library of Munich, Germany.
    13. Pilar Beneito & Maria E. Rochina-Barrachina & Amparo Sanchis, 2023. "Female R&D teams and patents as quality signals in innovative firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(7), pages 891-922, October.
    14. Steffen Mueller, 2012. "Works Councils and Establishment Productivity," ILR Review, Cornell University, ILR School, vol. 65(4), pages 880-898, October.
    15. Petreski, Marjan. & Mojsoska-Blazevski, Nikica., 2015. "The gender and motherhood wage gap in the Former Yugoslav Republic of Macedonia : an econometric analysis," ILO Working Papers 994895293402676, International Labour Organization.
    16. Anne Busch & Elke Holst, 2011. "Gender-Specific Occupational Segregation, Glass Ceiling Effects, and Earnings in Managerial Positions: Results of a Fixed Effects Model," SOEPpapers on Multidisciplinary Panel Data Research 357, DIW Berlin, The German Socio-Economic Panel (SOEP).
    17. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2020. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    18. Osikominu, Aderonke & Pfeifer, Gregor, 2018. "Perceived wages and the gender gap in STEM fields," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    19. Кирюшина М. А. & Рудаков В. Н., 2021. "Гендерные Различия В Заработной Плате Выпускников Вузов И Учреждений Спо На Начальном Этапе Карьеры," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 172-198.
    20. Philippe Adair & Oksana Nezhyvenko, 2020. "Wage Differentials in EU Transition Economies (2009-2016): How Large a Penalty for Females and Informal Employees?," Proceedings of Economics and Finance Conferences 10913129, International Institute of Social and Economic Sciences.

    More about this item

    Keywords

    Revolving doors; Lobbying; Post-employment restrictions; U.S. Congress;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:pra:mprapa:82375. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.