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Quick-Service Expenditure in Ireland: Parametric vs. Semiparametric Analysis

[Zeitschriftenartikel]

Keelan, Conor
Newman, Carol
Henchion, Maeve

Abstract

The aim of this study is to identify the economic and socio-economic factors influencing Irish households’ expenditure on Food-Away-From-Home (FAFH). The main objective is to estimate a tobit model of the factors affecting Irish household expenditure on quick-service meals, a particularly dynamic co... mehr

The aim of this study is to identify the economic and socio-economic factors influencing Irish households’ expenditure on Food-Away-From-Home (FAFH). The main objective is to estimate a tobit model of the factors affecting Irish household expenditure on quick-service meals, a particularly dynamic component of the foodservice industry, and to determine the extent to which these factors have changed over the course of the 1990s. Maximum likelihood estimation and semiparametric alternatives are considered with the conclusion that in this instance semiparametric techniques do not offer a viable alternative to maximum likelihood estimation of tobit models, even in the presence of heteroscedasticity and non-normality. Maximum likelihood estimates of an adjusted tobit model reveal that household income, place of residence, commuters, and household size have significant and positive influences on quick-service expenditure. Older families, single households and married couples, together with homeowners, display reduced expenditure. The opportunity cost of time is positively related to quick-service expenditure, consistent with theory, while health knowledge has a negative impact on quick-service consumption.... weniger

Sprache Dokument
Englisch

Publikationsjahr
2008

Seitenangabe
S. 2659-2669

Zeitschriftentitel
Applied Economics, 40 (2008) 20

DOI
https://doi.org/10.1080/00036840600970286

Status
Postprint; begutachtet (peer reviewed)

Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
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