| dc.contributor.author |
Adhikari, M |
en |
| dc.contributor.author |
Paudel, KP |
en |
| dc.contributor.author |
Houston, J |
en |
| dc.contributor.author |
Bukenya, J |
en |
| dc.date.accessioned |
2014-06-06T06:48:04Z |
|
| dc.date.available |
2014-06-06T06:48:04Z |
|
| dc.date.issued |
2008 |
en |
| dc.identifier.issn |
00036846 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1080/00036840500461881 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/3946 |
|
| dc.subject.other |
assessment method |
en |
| dc.subject.other |
crop production |
en |
| dc.subject.other |
model |
en |
| dc.subject.other |
stochasticity |
en |
| dc.subject.other |
technological change |
en |
| dc.subject.other |
technology adoption |
en |
| dc.subject.other |
trend analysis |
en |
| dc.title |
Assessing the impacts of stochastic trend in crop acreage supply response model |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1080/00036840500461881 |
en |
| heal.publicationDate |
2008 |
en |
| heal.abstract |
This paper demonstrates the need to revisit the way a technical change has been incorporated in a crop acreage supply response model. Three different versions of technological change were introduced and compared: no trend, deterministic trend, and stochastic trend. The results confirm the need to treat a technology variable as a stochastic trend for better results in crop acreage supply response model specifications. |
en |
| heal.journalName |
Applied Economics |
en |
| dc.identifier.issue |
3 |
en |
| dc.identifier.volume |
40 |
en |
| dc.identifier.doi |
10.1080/00036840500461881 |
en |
| dc.identifier.spage |
295 |
en |
| dc.identifier.epage |
302 |
en |