• Graduate program
  • Research
  • Summer School
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • Foundations of Machine Learning with Applications in Python
      • From preference to choice: The Economic Theory of Decision-Making
      • Gender in Society
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 16th Tinbergen Institute Annual Conference
    • Annual Tinbergen Institute Conference
  • News
  • Alumni
  • Magazine

Kleibergen, F. and Mavroeidis, S. (2014). Identification issues in limited-information Bayesian analysis of structural macroeconomic models Journal of Applied Econometrics, 29(7):1183--1207.


  • Journal
    Journal of Applied Econometrics

The likelihood of the parameters in structural macroeconomic models typically has non-identification regions over which it is constant. When sufficiently diffuse priors are used, the posterior piles up in such non-identification regions. Use of informative priors can lead to the opposite, so both can generate spurious inference. We propose priors/posteriors on the structural parameters that are implied by priors/posteriors on the parameters of an embedding reduced-form model. An example of such a prior is the Jeffreys prior. We use it to conduct Bayesian limited-information inference on the new Keynesian Phillips curve with a VAR reduced form for US data