A Representative Consumer Theory of the Logit Model

1988 ◽  
Vol 29 (3) ◽  
pp. 461 ◽  
Author(s):  
S. P. Anderson ◽  
A. De Palma ◽  
J.-F. Thisse
Keyword(s):  
Logit Model ◽  
Consumer Theory ◽  
Representative Consumer

scholarly journals A Representative Consumer Theory of Distribution

2000 ◽  
Vol 90 (4) ◽  
pp. 909-926 ◽  
Author(s):  
Francesco Caselli ◽  
Jaume Ventura
Keyword(s):  
Growth Models ◽  
Income Mobility ◽  
Consumer Theory ◽  
Consumer Heterogeneity ◽  
Mobility Patterns ◽  
Equilibrium Outcome ◽  
Wide Range ◽  
Representative Consumer ◽  
Per Se

This paper introduces various sources of consumer heterogeneity in one-sector representative consumer (RC) growth models and develops tools to study the evolution of the distribution of consumptions, assets, and incomes. These tools are applied to the Ramsey-Cass-Koopmans model of optimal savings and the Arrow-Romer model of productive spillovers. The RC property per se places very few restrictions on the nature of observed distributions, and a wide range of distributive dynamics and income mobility patterns can arise as the equilibrium outcome. An example illustrates how to use these tools to generate quantitative predictions and compare them to the data. (JEL E13, O41)

scholarly journals Welfare measurement and representative consumer theory

1997 ◽  
Vol 57 (1) ◽  
pp. 63-67 ◽  
Author(s):  
V.Kerry Smith ◽  
Roger Von Haefen
Keyword(s):  
Consumer Theory ◽  
Representative Consumer ◽  
Welfare Measurement

Consumption of organic meat products in France: An analysis based on panel data (scanner dataset)

New Medit ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 83-99
Author(s):  
Pierre Sans ◽  
Christine Boizot-Szantaï
Keyword(s):  
Panel Data ◽  
Logit Model ◽  
Meat Products ◽  
Big City ◽  
Average Quantity ◽  
Attitude Behavior ◽  
Questionnaire Surveys ◽  
Processed Products ◽  
Organic Meat

The consumption of organic meat products has been characterized using the Kantar Worldpanel data col-lected from 2012 to 2014. Based on the price of the total quantity purchased and the amount spent on each purchase, several indicators were calculated and their values compared between organic households (OHs) and nonorganic households (NOHs). OHs were characterized according to sociodemographic and attitudi-nal variables. Finally, a logit model was constructed to determine the likelihood of belonging to the organic household category. Consumption is low in terms of the proportion of households that purchase organic meat (O-ME) and meat products (O-MPs), the average quantity purchased per year and per purchasing household (2 kg and 0.9 kg respectively), and purchasing frequency. These values are below those reported by questionnaire surveys which can be attributed to an attitude-behavior gap. The main organic meat prod-ucts purchased are bovine meat and pork processed products. Moreover, being part of a family with children and living in a big city increase the probability of purchasing O-ME and O-MPs. ,

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