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Estimation of a Hedonic Price Equation with instruments for Chicken Meat in the UK: Does the Organic Attribute matter?

Gschwandtner, Adelina and Ribeiro, Eduardo and Cesar, Revoredo-Giha (2019) Estimation of a Hedonic Price Equation with instruments for Chicken Meat in the UK: Does the Organic Attribute matter? Discussion paper. Kent Discussion Papers in Economics (KAR id:80030)

Abstract

Chicken meat consumption has increased substantially in the last decades due to farming and processing intensification and due to perceived health and environmental benefits for consumers. Organic chicken additionally, is perceived to have better taste, lead to higher animal welfare and additional benefits for the environment. Thus understanding consumers’ preferences for organic chicken is central for policy-making and market strategies that can shape this market in the future. This paper uses a comprehensive data set of scanned shopping's from UK consumers, to show that they are willing to pay an average premium of 135% for the organic attribute in the case of chicken. In addition, this paper contributes to the literature of environmental valuation, demonstrating that household characteristics can be used as instruments into a GMM approach to a hedonic price model, to address the endogeneity issues usually ignored in this literature.

Item Type: Reports and Papers (Discussion paper)
Additional information: KDPE 1911
Uncontrolled keywords: Hedonic Pricing Method; Instrumental Variables; Organic Food
Subjects: H Social Sciences > HB Economic Theory
Q Science
Divisions: Divisions > Division of Human and Social Sciences > School of Economics
Depositing User: Adelina Gschwandtner
Date Deposited: 11 Feb 2020 17:56 UTC
Last Modified: 09 Dec 2022 07:18 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80030 (The current URI for this page, for reference purposes)

University of Kent Author Information

Gschwandtner, Adelina.

Creator's ORCID: https://orcid.org/0000-0002-6952-1782
CReDIT Contributor Roles:

Ribeiro, Eduardo.

Creator's ORCID:
CReDIT Contributor Roles:
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