Location and co-location in retail: A probabilistic approach using geo-coded data for metropolitan retail markets

Annals of Regional Science

Volumn 52, Issue 2, 2014, Pages 385-408

  Larsson, Johan P ^a,b   Öner, Özge ^a,b  

^a JÖNKÖPING INTERNATIONAL BUSINESS SCHOOL   (Sweden)

^b Department of Economics   (Sweden)

Author keywords

L81; R10; R14

Indexed keywords

CLUSTER ANALYSIS; MARKET CONDITIONS; METROPOLITAN AREA; NUMERICAL MODEL; PROBABILITY; RETAILING; URBAN ECONOMY;

SWEDEN;

EID: 84899486822     PISSN: 05701864     EISSN: 14320592     Source Type: Journal    
DOI: 10.1007/s00168-014-0591-7     Document Type: Article

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