Skip to main content

Model Misspecification

  • Chapter
  • First Online:
Linear Model Theory
  • 996 Accesses

Abstract

This chapter presents exercises on the effects of misspecifying the linear model and provides solutions to those exercises.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
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

Institutional subscriptions

References

  • Dufour, J. (1986). Bias of S 2 in linear regressions with dependent errors. The American Statistician, 40, 284–285.

    MathSciNet  Google Scholar 

  • Meng, X. & Xie, X. (2014). I got more data, my model is more refined, but my estimator is getting worse! Am I just dumb? Econometric Reviews, 33, 218–250.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zimmerman, D.L. (2020). Model Misspecification. In: Linear Model Theory. Springer, Cham. https://doi.org/10.1007/978-3-030-52074-8_12

Download citation

Publish with us

Policies and ethics