IDEAS home Printed from https://ideas.repec.org/a/kap/pubcho/v42y1984i3p287-294.html
   My bibliography  Save this article

Maximizing models of legislative choice

Author

Listed:
  • Ronald Warren

Abstract

A number of recent studies have reported estimates of single equation and simultaneous equations models of the decisions of state legislatures. These investigations have been ‘economic’ ones, in the sense that considerations of the relative costs and benefits to some self-interested person or group capable of affecting legislative outcomes have motivated the choice of explanatory variables. Thus, perhaps implicitly, these studies have assumed utility maximization by some critical agent(s) in the political marketplace. This essay draws attention to the implications of this maximizing assumption for the proper specification and estimation of the associated empirical models. Copyright Martinus Nijhoff Publishers 1984

Suggested Citation

  • Ronald Warren, 1984. "Maximizing models of legislative choice," Public Choice, Springer, vol. 42(3), pages 287-294, January.
  • Handle: RePEc:kap:pubcho:v:42:y:1984:i:3:p:287-294
    DOI: 10.1007/BF00124947
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF00124947
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF00124947?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Moore, William J & Newman, Robert J, 1975. "On the Prospects for American Trade Union Growth: A Cross-Section Analysis," The Review of Economics and Statistics, MIT Press, vol. 57(4), pages 435-445, November.
    2. Warren, Ronald S, Jr & Strauss, Robert P, 1979. "A Mixed Logit Model of the Relationship between Unionization and Right-to-Work Legislation: Comment," Journal of Political Economy, University of Chicago Press, vol. 87(3), pages 648-655, June.
    3. Edwards, Linda Nasif, 1978. "An Empirical Analysis of Compulsory Schooling Legislation, 1940-1960," Journal of Law and Economics, University of Chicago Press, vol. 21(1), pages 203-222, April.
    4. Leffler, Keith B, 1978. "Minimum Wages, Welfare, and Wealth Transfers to the Poor," Journal of Law and Economics, University of Chicago Press, vol. 21(2), pages 345-358, October.
    5. James Adams, 1981. "Daylight Savings: An endogenous law," Public Choice, Springer, vol. 36(2), pages 345-349, January.
    6. Schmidt, Peter, 1978. "Estimation of a Simultaneous Equations Model with Jointly Dependent Continuous and Qualitative Variables: The Union-Earnings Question Revisited," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 453-465, June.
    7. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    8. Moore, William J & Newman, Robert J & Thomas, R William, 1974. "Determinants of the Passage of Right-to-Work Laws: An Alternative Interpretation," Journal of Law and Economics, University of Chicago Press, vol. 17(1), pages 197-211, April.
    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. Christopher K. Coombs & Richard Cebula, 2011. "The Impact of Union Corruption on Union Membership," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 50(1), pages 131-148, January.
    2. Motkuri, Venkatanarayana, 2006. "Child Labour and Educational Deprivation of Children : A Review of Literature," MPRA Paper 48437, University Library of Munich, Germany.
    3. Jeremy T. Fox, 2010. "Estimating the Employer Switching Costs and Wage Responses of Forward-Looking Engineers," Journal of Labor Economics, University of Chicago Press, vol. 28(2), pages 357-412, April.
    4. Patrick Bajari & Jeremy Fox & Stephen Ryan, 2008. "Evaluating wireless carrier consolidation using semiparametric demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 299-338, December.
    5. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    6. Chen, Le-Yu & Lee, Sokbae, 2018. "Best subset binary prediction," Journal of Econometrics, Elsevier, vol. 206(1), pages 39-56.
    7. Delgado, Miguel A. & Rodriguez-Poo, Juan M. & Wolf, Michael, 2001. "Subsampling inference in cube root asymptotics with an application to Manski's maximum score estimator," Economics Letters, Elsevier, vol. 73(2), pages 241-250, November.
    8. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    9. repec:hal:wpspec:info:hdl:2441/3vl5fe4i569nbr005tctlc8ll5 is not listed on IDEAS
    10. Taisuke Otsu & Myung Hwan Seo, 2014. "Asymptotics for maximum score method under general conditions," STICERD - Econometrics Paper Series 571, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    11. Oliver Linton & Pedro Gozalo, 1996. "Conditional Independence Restrictions: Testing and Estimation," Cowles Foundation Discussion Papers 1140, Cowles Foundation for Research in Economics, Yale University.
    12. Mittelhammer, Ron C. & Judge, George, 2011. "A family of empirical likelihood functions and estimators for the binary response model," Journal of Econometrics, Elsevier, vol. 164(2), pages 207-217, October.
    13. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    14. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    15. repec:eee:labchp:v:2:y:1986:i:c:p:1039-1089 is not listed on IDEAS
    16. V L Miguéis & D F Benoit & D Van den Poel, 2013. "Enhanced decision support in credit scoring using Bayesian binary quantile regression," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1374-1383, September.
    17. Ben R. Craig & Yiming Ma, 2020. "Intermediation in the Interbank Lending Market," Working Papers 20-09, Federal Reserve Bank of Cleveland.
    18. Gradstein, Mark & Justman, Moshe, 2009. "Understanding Compulsory Schooling Legislation: A Formal Model and Implications for Empirical Analysis," IZA Discussion Papers 4420, Institute of Labor Economics (IZA).
    19. Ron Mittelhammer & George Judge, 2009. "A Minimum Power Divergence Class of CDFs and Estimators for the Binary Choice Model," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 33-49, April.
    20. Spiller, Elisheba & Stephens, Heather M., 2012. "The Heterogeneous Effects of Gasoline Taxes: Why Where We Live Matters," RFF Working Paper Series dp-12-30, Resources for the Future.
    21. Varela, Mauricio J., 2018. "The costs of growth: Accelerated growth and crowd-out in the Mexican supermarket industry," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 1-52.
    22. Noble, Stephanie M. & Lee, Kang Bok & Zaretzki, Russell & Autry, Chad, 2017. "Coupon clipping by impoverished consumers: Linking demographics, basket size, and coupon redemption rates," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 553-571.

    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:kap:pubcho:v:42:y:1984:i:3:p:287-294. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.