An An evaluation of simulated network in the hierarchical spatial autoregressive model. Homophily based interactions matter for the consumption behaviours

Edyta Łaszkiewicz

Published: 2020-12-07

Vol. 15 No. 2 (34) (2015)

An An evaluation of simulated network in the hierarchical spatial autoregressive model. Homophily based interactions matter for the consumption behaviours

Edyta Łaszkiewicz

Abstract

The aim of the paper is an examination wheatear the social spillover of consumption behaviours differs for the homophily and heterophily based structure of interactions. As an approximation of agents’ behaviours households’ expenditures with the reference person attributes were used. The simulated structure of networks with individual density, calculated using the data from Polish Social Diagnosis 2011, was applied. Three versions of matching agents in the adjacency matrix was tested: 1) non-random with the k-nearest neighbours algorithm and closeness measured by the Jaccard index, 2) random with five different spatial conditions, 3) partially random with random drawing from the limited number of individuals selected using the value of the Jaccard index. The difference in the social spillover was tested as the difference between the estimated parameters for social interactions from the hierarchical spatial autoregressive model (HSAR). An additional factors as: spatial heterogeneity and dependence, household attributes, ect. was controlled in the HSAR model. The microdata from the 2011 Polish Households Budget Survey was used in this research. The results prove that homophilously structured social networks supported the spillover of healthy food consumption among Polish households in 2011. In contrast, for heterophily based relations spreading of habits did not occur. The crucial role for social spillover plays the geographical proximity of households.

Keywords:

consumption behaviour, networks, interpersonal similarity, homophily, spatial multilevel modelling

Download files

pdf

Citation rules

Łaszkiewicz, E. (2020). An An evaluation of simulated network in the hierarchical spatial autoregressive model. Homophily based interactions matter for the consumption behaviours. Economic and Environmental Studies, 15(2 (34), 231–247. Retrieved from https://czasopisma.uni.opole.pl/index.php/ees/article/view/2952

Cited by / Share

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

References

Bott, H. (1928). Observation of play activities in a nursery school. Genetic Psychology Monographs 4(1): 44-88.
Google Scholar

Burgess, S.; Sanderson, E.; Umaña-Aponte, M. (2011). School ties: An analysis of homophily in an adolescent friendship network. The Centre for Market and Public Organisation 267. Available at: http://www.bris.ac.uk/cmpo/publications/papers/2011/wp267.pdf. Accessed 15 July 2014.
Google Scholar

Byrne, D.; Nelson, D. (1965). Attraction as a linear function of proportion of positive reinforcements. Journal of personality and social psychology 1(6): 659.
Google Scholar

Centola, D. (2011). An experimental study of homophily in the adoption of health behaviour. Science 334(6060): 1269-1272.
Google Scholar

Centola, D.; Willer, R.; Macy, M. (2005). The Emperor’s Dilemma: A Computational Model of Self‐Enforcing Norms1. American Journal of Sociology 110(4): 1009-1040.
Google Scholar

Christakis, N. A.; Fowler, J. H. (2007). The spread of obesity in a large social network over 32 years. New England journal of medicine 357(4): 370-379.
Google Scholar

Collins, R. L.; Parks, G. A.; Marlatt, G. A. (1985). Social determinants of alcohol consumption: the effects of social interaction and model status on the self-administration of alcohol. Journal of consulting and clinical psychology 53(2): 189.
Google Scholar

Council for Social Monitoring (2011). Integrated database. Available at: www.diagnoza.com. Accessed 2 August 2014.
Google Scholar

Dong, G.; Harris, R. (2014). Spatial Autoregressive Models for Geographically Hierarchical Data Structures. Geographical Analysis 47(2): 173–191.
Google Scholar

Easley, D.; Kleinberg, J. (2010). Networks, Crowds, and Markets: Reasoning about a Highly Connected World. Cambridge: Cambridge University Press.
Google Scholar

Golub, B.; Jackson, M. O. (2012). How homophily affects the speed of learning and best-response dynamics. The Quarterly Journal of Economics 127(3): 1287-1338.
Google Scholar

Grinblatt, M.; Keloharju, M.; Ikäheimo, S. (2008). Social influence and consumption: evidence from the automobile purchases of neighbors. The review of Economics and Statistics 90(4): 735-753.
Google Scholar

Jaccard, P. (1912). The distribution of the flora in the alpine zone. 1. New phytologist 11(2): 37-50.
Google Scholar

Łaszkiewicz, E.; Dong, G.; Harris, R. (2014). The Effect Of Omitted Spatial Effects And Social Dependence In The Modelling Of Household Expenditure For Fruits And Vegetables. Comparative Economic Research 17(4): 155-172.
Google Scholar

Lazarsfeld, P.F.; Merton, R.K. (1954). Friendship as a social process. In: Berger, M.; Abel, T.; Page, C.H. (eds.). Freedom and control in modern society: 18-66. Princeton, NJ: Van Nostrand.
Google Scholar

Loomis, C. P. (1946). Political and occupational cleavages in a Hanoverian village, Germany: A sociometric study. Sociometry 9: 316-333.
Google Scholar

Ma, L.; Krishnan, R.; Montgomery, A. (2010). Homophily or Influence? An Empirical Analysis of Purchase within a Social Network. Available at: http://community.mis.temple.edu/seminars/files/2011/02/krishnan-homophily-influence.pdf. Accessed 15 July 2014.
Google Scholar

Marti de, J.; Zenou, Y. (2011). Identity and social distance in friendship formation 13. Stockholm University, Department of Economics.
Google Scholar

McPherson, M.; Smith-Lovin, L.; Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual review of sociology 27: 415-444.
Google Scholar

Richardson, H. M. (1940). Community of values as a factor in friendships of college and adult women. The Journal of Social Psychology 11(2): 303-312.
Google Scholar

Rogers, E. M.; Bhowmik, D. K. (1970). Homophily-heterophily: Relational concepts for communication research. Public opinion quarterly 34(4): 523-538.
Google Scholar

Rosenquist, J. N.; Murabito, J.; Fowler, J. H.; Christakis, N. A. (2010). The spread of alcohol consumption behavior in a large social network. Annals of Internal Medicine 152(7): 426-433.
Google Scholar

Sorensen, G.; Stoddard, A. M.; Dubowitz, T.; Barbeau, E. M.; Bigby, J.; Emmons, K. M.; Peterson, K. E. (2007). The influence of social context on changes in fruit and vegetable consumption: results of the healthy directions studies. American Journal of Public Health 97(7): 1216.
Google Scholar

Sudman, S. (1988). Experiments in measuring neighbor and relative social networks. Social Networks 10(1): 93-108.
Google Scholar

Tobler, W. (1970). A computer movie simulating urban growth in the Detroit region. Economic geography 46: 234-240.
Google Scholar

Wasserman, S.; Galaskiewicz, J. (1994). Advances in Social Network Analysis: Research in the Social and Behavioral Sciences. SAGE Publications, Inc.
Google Scholar

Yavaş, M.; Yücel, G. (2014). Impact of Homophily on Diffusion Dynamics Over Social Networks. In: Bye, R.T., Zhang, H. (eds.). Proceedings 27th European Conference on Modelling and Simulation. ECMS Webjørn Rekdalsbakken. Available at: http://www.scs-europe.net/dlib/2013/ecms13papers/socint_ECMS2013_0177 .pdf. Accessed 27 May 2014.
Google Scholar

Żak, B.; Zbieg, A. (2012). Symulacja upodabniania się postaw w sieci relacji społecznych. Nauki o Zarządzaniu 4(13): 151-168.
Google Scholar