Estimating Percentage Changes in Nominal GDP for Select Currency Board Episodes, 1929-1950

Joshua Hong
Additional contact information
Joshua Hong: The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise

No 30, Studies in Applied Economics from The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise

Abstract: It is easy to find data on nominal national income for most countries since about 1950. However, data are scarce for numerous countries that had currency boards during the period before the late 1940s. Using monetary data for select currency board episodes and the equation summarizing the quantity theory of money, MV = PT, this study estimates year-over-year percentage changes in nominal gross domestic product for currency board episodes from 1929 to 1950. The period is to be divided into two separate time frames, the first covering the years 1929-1938, or the Great Depression and the pre=World War II era, and the second covering the years 1939-1950, or World War II and after.

Keywords: Currency board; national income; nominal GDP; Quantity Equation; Quantity Theory (search for similar items in EconPapers)
JEL-codes: E10 N10 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2015-04
References: Add references at CitEc
Citations:

Downloads: (external link)
https://sites.krieger.jhu.edu/iae/files/2017/04/Jo ... DP_Working_Paper.pdf Full text (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

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:ris:jhisae:0030

Access Statistics for this paper

More papers in Studies in Applied Economics from The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise Contact information at EDIRC.
Bibliographic data for series maintained by Steve H. Hanke ().