Fitting a distribution to survey data for the half-life of deviations from PPP
Mark Fisher
No 2015-15, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta
Abstract:
This note presents a nonparametric Bayesian approach to fitting a distribution to the survey data provided in Kilian and Zha (2002) regarding the prior for the half-life of deviations from purchasing power parity (PPP). A point mass at infinity is included. The unknown density is represented as an average of shape-restricted Bernstein polynomials, each of which has been skewed according to a preliminary parametric fit. A sparsity prior is adopted for regularization.
Keywords: nonparametric Bayesian estimation; Bernstein polynomials; simplex regression; importance sampling; PPP half-life deviations (search for similar items in EconPapers)
JEL-codes: C11 C14 F31 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2015-12-15
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.frbatlanta.org/-/media/Documents/resea ... wp/2015/15.pdf?la=en Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fip:fedawp:2015-15
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta Contact information at EDIRC.
Bibliographic data for series maintained by Rob Sarwark ().