Nerlovian Area Response as an Error Correction Model: An Application to Western Canadian Agriculture

J Stephen Clark and K K Klein

Empirical Economics, 1996, vol. 21, issue 4, 12 pages

Abstract: The relationship between Nerlovian partial adjustment models and error correction models is explored. Unit root tests are employed to test stationarity of price, area and stock data of crops in the Canadian province of Saskatchewan. The data are found to be consistent with unit root nonstationarity. Evidence in favour of cointegrating relationships among area price and stock data is found. However, evidence in favour of the error correction form of the Nerlovian partial adjustment model is weak, indicating that more investigation of richer theoretical and empirical models of the short-run dynamics of area response in Saskatchewan is needed.

Date: 1996
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:empeco:v:21:y:1996:i:4:p:501-12

Ordering information: This journal article can be ordered from
http://www.springer. ... rics/journal/181/PS2

Access Statistics for this article

Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund

More articles in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().