Skip to main content

Maximum Score Methods

  • Chapter

Part of the book series: The New Palgrave Economics Collection ((NPHE))

Abstract

In a seminal paper, Manski (1975) introduces the maximum score estimator (MSE) of the structural parameters of a multinomial choice model and proves consistency without assuming knowledge of the distribution of the error terms in the model. As such, the MSE is the first instance of a semiparametric estimator of a limited dependent variable model in the econometrics literature.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Bibliography

  • Abrevaya, J. and Huang, J. 2005. On the bootstrap of the maximum score estimator. Econometrica 73, 1175–204.

    Article  Google Scholar 

  • Horowitz, J.L. 1992. A smoothed maximum score estimator for the binary response model. Econometrica 60, 505–31.

    Article  Google Scholar 

  • Horowitz, J.L. 1993. Optimal rates of convergence of parameter estimators in the binary response model with weak distributional assumptions. Econometric Theory 9, 1–18.

    Article  Google Scholar 

  • Horowitz, J.L. 2002. Bootstrap critical values for tests based on the smoothed maximum score estimator. Econometrica 111, 141–67.

    Article  Google Scholar 

  • Kim, J. and Pollard, D. 1990. Cube root asymptotics. Annals of Statistics 18, 191–219.

    Article  Google Scholar 

  • Koenker, R. and Bassett, G., Jr. 1978. Regression quantiles. Econometrica 46, 33–50.

    Article  Google Scholar 

  • Kordas, G. 2006. Smoothed binary regression quantiles. Journal of Applied Econometrics 21, 387–407.

    Article  Google Scholar 

  • Manski, C.F. 1975. Maximum score estimation of the stochastic utility model of choice. Journal of Econometrics 3, 205–28.

    Article  Google Scholar 

  • Manski, C.F. 1985. Semiparametric analysis of discrete response: asymptotic properties of the maximum score estimator. Journal of Econometrics 27, 313–33.

    Article  Google Scholar 

  • Manski, C.F. 1988. Analog Estimation Methods in Econometrics. New York: Chapman and Hall.

    Google Scholar 

  • Manski, C.F. 1995. Identification Problems in the Social Sciences. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • McFadden, D. 1974. Conditional logit analysis of qualitative choice behavior. In Frontiers in Econometrics, ed. P. Zarembka. New York: Academic Press.

    Google Scholar 

  • Powell, J.L. 1994. Estimation of semiparametric models. In Handbook of Econometrics, vol. 4, ed. R. Engle and D. McFadden. Amsterdam: North-Holland.

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Copyright information

© 2010 Palgrave Macmillan, a division of Macmillan Publishers Limited

About this chapter

Cite this chapter

Sherman, R.P. (2010). Maximum Score Methods. In: Durlauf, S.N., Blume, L.E. (eds) Microeconometrics. The New Palgrave Economics Collection. Palgrave Macmillan, London. https://doi.org/10.1057/9780230280816_16

Download citation

Publish with us

Policies and ethics