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Individual effects and dynamics in count data models

Author

Listed:
  • Richard Blundell

    (Institute for Fiscal Studies and University College London)

  • Rachel Griffith

    (Institute for Fiscal Studies and University of Manchester)

  • Frank Windmeijer

    (Institute for Fiscal Studies and University of Bristol)

Abstract

In this paper we examine the panel data estimation of dynamic models for count data that include correlated fixed effects and predetermined variables.

Suggested Citation

  • Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999. "Individual effects and dynamics in count data models," IFS Working Papers W99/03, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:99/03
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    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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