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022 _a0959-3969
040 _aMSU
_cMSU
_erda
100 1 _aMarjanen, Heli
_eauthor
245 _aViability of demographic and behavioural independent variables in quantile regression models in predicting retail patronage
_ccreated by Heli Marjanen
264 _aOxfordshire
_bTaylor and Francis
_c2013
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
440 _aThe International Review of Retail, Distribution and Consumer Research
_vVolume 23, number 5,
520 _aThe purpose of this paper is to model and predict consumer patronage behaviour in terms of relative shopping frequencies in two shopping destinations – in the city centre and in an edge-of-town retail park. Two different quantile regression models for both destinations, the demographic and the behavioural, were constructed based on existing literature and data collected in 2001. In the demographic model the independent variables were the distance separating respondents and respective shopping destinations, and demographic variables describing the households. The behavioural model consisted of statements concerning the importance of various store choice criteria. The revealed preference approach was adopted, i.e. information revealed by past behaviour was used to extract the most powerful predictors of relative visit frequencies. The study is based on longitudinal data collected over a period of 11 years (2001, 2003, 2006, and 2011),which enabled the monitoring of the long-term effects of retail change on consumer behaviour. Access to longitudinal data enabled us to test the viability of the models using both in-sample (2006) and out-of-sample (2011) predictions. The results strongly support the existing literature emphasising the importance of distance and accessibility in store choice.
650 4 _aQuantile regression models
650 4 _aPatronage studies
650 4 _aStore choice
700 1 _aEngblom, Janne
_eauthor
700 1 _aMalmari, Meri
_eauthor
856 _uhttps://doi.org/10.1080/09593969.2013.832694
942 _2lcc
_cJA
999 _c156313
_d156313