Multiple Herbicide Use in Cropland: A Discrete-Continuous Model for Stated Choice Data

Pellegrini, A; Rose, J; Scarpa, R

Multiple Herbicide Use in Cropland: A Discrete-Continuous Model for Stated Choice Data

Pellegrini, A Rose, J

Scarpa, R

Permalink

Publisher:: UNIV WISCONSIN PRESS
Publication Type:: Journal Article
Citation:: Land Economics, 2022, 98, (2), pp. 355-375
Issue Date:: 2022-05-01

Closed Access

	Filename	Description	Size
	project_muse_855586.pdf	Published version	1.4 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Pellegrini, A
dc.contributor.author	Rose, J https://orcid.org/0000-0003-4211-0980
dc.contributor.author	Scarpa, R
dc.date.accessioned	2022-11-07T00:41:56Z
dc.date.available	2022-11-07T00:41:56Z
dc.date.issued	2022-05-01
dc.identifier.citation	Land Economics, 2022, 98, (2), pp. 355-375
dc.identifier.issn	0023-7639
dc.identifier.issn	1543-8325
dc.identifier.uri	http://hdl.handle.net/10453/163263
dc.description.abstract	Using a random utility consistent discrete-continuous model, we analyze decisions by a sample of Australian farmers on the mix of herbicides and their intensity of use. The proposed model is flexible and even accommodates decisions concerning a single herbicide. We use a sequential quadratic programming-based forecasting approach to predict optimal herbicide types and allocations. Structural estimates are used to forecast how price changes affect herbicide demand. The forecasting approach allows for calibration of alternative specific constants to reproduce existing brand market shares
dc.language	English
dc.publisher	UNIV WISCONSIN PRESS
dc.relation.ispartof	Land Economics
dc.relation.isbasedon	10.3368/le.98.2.092520-0150R1
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1402 Applied Economics
dc.subject.classification	Agricultural Economics & Policy
dc.title	Multiple Herbicide Use in Cropland: A Discrete-Continuous Model for Stated Choice Data
dc.type	Journal Article
utslib.citation.volume	98
utslib.for	1402 Applied Economics
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - BIDA - Business Intelligence and Data Analytics
utslib.copyright.status	closed_access	*
dc.date.updated	2022-11-07T00:41:44Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	98
utslib.citation.issue	2

Abstract:

Using a random utility consistent discrete-continuous model, we analyze decisions by a sample of Australian farmers on the mix of herbicides and their intensity of use. The proposed model is flexible and even accommodates decisions concerning a single herbicide. We use a sequential quadratic programming-based forecasting approach to predict optimal herbicide types and allocations. Structural estimates are used to forecast how price changes affect herbicide demand. The forecasting approach allows for calibration of alternative specific constants to reproduce existing brand market shares

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/163263