![](https://tinbergen.nl/media/cache/publication_detail/media/publication/image/36f6eddc164132aeb50d93bed4a16b1c_65f28b7ed9884f7365109659a2481c80_0883-7252.jpg)
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.
-
Affiliated author
-
Publication year2014
-
JournalJournal 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