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Advances in specification testing

Author

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  • Russell Davidson
  • Victoria Zinde-Walsh

Abstract

Testing the specification of econometric models has come a long way from the t tests and F tests of the classical normal linear model. In this paper, we trace the broad outlines of the development of specification testing, along the way discussing the role of structural versus purely statistical models. Inferential procedures have had to advance in tandem with techniques of estimation, and so we discuss the generalized method of moments, non parametric inference, empirical likelihood and estimating functions. Mention is made of some recent literature, in particular, of weak instruments, non parametric identification and the bootstrap.

Suggested Citation

  • Russell Davidson & Victoria Zinde-Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1595-1631, December.
    • Handle: RePEc:cje:issued:v:50:y:2017:i:5:p:1595-1631
    DOI: 10.1111/caje.12309
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    Cited by:

    1. Ilona Elzbieta Serwicka & Jonathan Jones & Colin Wren, 2024. "Economic integration and FDI location: Is there a border effect within the enlarged EU?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(1), pages 85-106, January.

    More about this item

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies

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