Robustness of the relationship between price variability and inflation for US manufacturing

Elizabeth M. Caucutt, Mrinal G Ghosh, Christina M L Kelton

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We study the relationship between relative price variability and inflation in two different ways. We first look at product-class census unit values for five time periods between 1958 and 1982, and find evidence of a positive relationship between variability and inflation. Then we directly update the Vining and Elwertowski (1976) study for the period 1974-91, using individual commodity series from the Bureau of Labor Statistics. We conclude by discussing differences across industries in price stickiness.

Original languageEnglish (US)
Pages (from-to)513-519
Number of pages7
JournalApplied Economics
Volume30
Issue number4
StatePublished - Apr 1998
Externally publishedYes

Fingerprint

Inflation
Manufacturing
Robustness
Price stickiness
Statistics
Commodities
Relative price variability
Unit values
Census
Labor
Industry

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Robustness of the relationship between price variability and inflation for US manufacturing. / Caucutt, Elizabeth M.; Ghosh, Mrinal G; Kelton, Christina M L.

In: Applied Economics, Vol. 30, No. 4, 04.1998, p. 513-519.

Research output: Contribution to journalArticle

Caucutt, Elizabeth M. ; Ghosh, Mrinal G ; Kelton, Christina M L. / Robustness of the relationship between price variability and inflation for US manufacturing. In: Applied Economics. 1998 ; Vol. 30, No. 4. pp. 513-519.
@article{2c5022c3f6d54985ac8251de8b9a5c39,
title = "Robustness of the relationship between price variability and inflation for US manufacturing",
abstract = "We study the relationship between relative price variability and inflation in two different ways. We first look at product-class census unit values for five time periods between 1958 and 1982, and find evidence of a positive relationship between variability and inflation. Then we directly update the Vining and Elwertowski (1976) study for the period 1974-91, using individual commodity series from the Bureau of Labor Statistics. We conclude by discussing differences across industries in price stickiness.",
author = "Caucutt, {Elizabeth M.} and Ghosh, {Mrinal G} and Kelton, {Christina M L}",
year = "1998",
month = "4",
language = "English (US)",
volume = "30",
pages = "513--519",
journal = "Applied Economics",
issn = "0003-6846",
publisher = "Routledge",
number = "4",

}

TY - JOUR

T1 - Robustness of the relationship between price variability and inflation for US manufacturing

AU - Caucutt, Elizabeth M.

AU - Ghosh, Mrinal G

AU - Kelton, Christina M L

PY - 1998/4

Y1 - 1998/4

N2 - We study the relationship between relative price variability and inflation in two different ways. We first look at product-class census unit values for five time periods between 1958 and 1982, and find evidence of a positive relationship between variability and inflation. Then we directly update the Vining and Elwertowski (1976) study for the period 1974-91, using individual commodity series from the Bureau of Labor Statistics. We conclude by discussing differences across industries in price stickiness.

AB - We study the relationship between relative price variability and inflation in two different ways. We first look at product-class census unit values for five time periods between 1958 and 1982, and find evidence of a positive relationship between variability and inflation. Then we directly update the Vining and Elwertowski (1976) study for the period 1974-91, using individual commodity series from the Bureau of Labor Statistics. We conclude by discussing differences across industries in price stickiness.

UR - http://www.scopus.com/inward/record.url?scp=0031834306&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031834306&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0031834306

VL - 30

SP - 513

EP - 519

JO - Applied Economics

JF - Applied Economics

SN - 0003-6846

IS - 4

ER -