Quantitative estimation of resource nationalism by binary choice logit model for panel data

2017 ◽  
Vol 53 ◽  
pp. 247-258 ◽  
Author(s):  
Wenhua Li ◽  
Tsuyoshi Adachi
New Medit ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 83-99
Author(s):  
Pierre Sans ◽  
Christine Boizot-Szantaï

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. ,


2017 ◽  
Vol 27 ◽  
pp. 253-260 ◽  
Author(s):  
Ana Barberan ◽  
João de Abreu e Silva ◽  
Andres Monzon

2011 ◽  
Vol 14 (3) ◽  
pp. 351-367 ◽  
Author(s):  
Stefan Hoderlein ◽  
Enno Mammen ◽  
Kyusang Yu

2002 ◽  
Author(s):  
Emmanuel Guerre ◽  
Hyungsik Roger Moon
Keyword(s):  

Econometrica ◽  
2002 ◽  
Vol 70 (5) ◽  
pp. 2053-2063 ◽  
Author(s):  
Bo E. Honore ◽  
Arthur Lewbel

2020 ◽  
Vol 39 (14) ◽  
pp. 1919-1940
Author(s):  
Martin Spiess ◽  
Daniel Fernández ◽  
Thuong Nguyen ◽  
Ivy Liu

1994 ◽  
Vol 31 (2) ◽  
pp. 304-311 ◽  
Author(s):  
Pradeep K. Chintagunta

The author discusses the implications of a heterogeneous logit model for brand positioning. The methodology presented is a restricted version of a mixture-of-logits model and obtains brand positions on a product-market map and the distribution of preferences across households while accounting for the effects of marketing variables on household brand choice behavior. The restriction involves imposing a factor structure on the covariance matrix of the distribution of intrinsic brand preferences. An empirical application of the methodology is presented using A.C. Nielsen household-level scanner panel data on the purchases of liquid laundry detergents. The results indicate that the proposed model provides a better fit to the data than the unrestricted mixture-of-logits model or the Choice Map methodology.


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