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The association between fast-food consumption and job-related factors among Russian adults
Affiliation:1. Fipe- Foundation Institute for Economic Research, Brazil;2. Economics Department, University of São Paulo, Brazil;3. Economics Department, Insper - Institute of Education and Research, Brazil;4. Centre for Health Economics, University of York, UK;1. EconomiX-CNRS, University of Paris Nanterre, 200 Avenue de la République, 92001 Nanterre Cedex, France;2. Department of Political Sciences, University of Perugia, via Pascoli, 20, Perugia, Italy;3. Institute of Labor Economics (IZA), Germany;1. Australia India Institute, University of Western Australia, Australia;2. Bankwest Curtin Economics Centre, Curtin University, Australia;3. UWA Business School, University of Western Australia, Australia;4. Department of Fertility and Social Demography, International Institute for Population Sciences (IIPS), Mumbai, India;1. Dartmouth College, Hanover, NH 03755-3514, United States;2. Adam Smith School of Business, University of Glasgow, United Kingdom;3. NBER, United States;4. UCL Social Research Institute, United Kingdom;5. University College London, 20 Bedford Way, London WC1H 0AL, United Kingdom;1. University of Wisconsin – Milwaukee, USA;2. The Lewin Group, USA;3. University of Michigan, USA
Abstract:Time constraints contribute to individuals’ dietary choices along with incomes, prices, and preferences. As fast food is prepared and served quickly, it is often preferred to other food options, especially when individuals are under time pressure. This paper focuses on a set of job-related characteristics that could potentially contribute to fast-food consumption choice, and controls for standard socio-demographic, economic, and lifestyle factors. This study uses data from a quantitative household survey on health behavior and medicine of Russian adults conducted in 2017 (n = 4006). The study applies simple probit, ordered probit, and zero-inflated ordered probit models to examine how job-related characteristics are connected to the probability and frequency of fast-food consumption among Russian adults. The results shows that employment is positively associated with both probability and frequency of fast-food consumption. However, for working adults, the decisions to eat fast food, and how frequently it is eaten, are affected by different factors. For example, working part time decreases the probability of fast-food consumption; having more than one job increases the frequency of its intake for fast-food consumers; having canteens with hot meals at work decreases the frequency of fast-food intake. Although job-related factors are significant in all models, marginal effects show that living in large cities, especially Moscow and Saint Petersburg, plays a larger role in the probability and frequency of fast-food consumption because access to various fast-food outlets increases in relation to the size of the settlement.
Keywords:Fast food  Time constraints  Employment status  Working adults  Canteens
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