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The Value Of Chinese Superstitions In Malaysia: Evidence From Car Plate Auctioning

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  • WOEI-CHYUAN WONG

    (School of Economics, Finance and Banking, UUM COB, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darul Aman, Malaysia)

  • NUR ADIANA HIAU ABDULLAH

    (School of Economics, Finance and Banking, UUM COB, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darul Aman, Malaysia)

  • HOCK-EAM LIM

    (School of Economics, Finance and Banking, UUM COB, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darul Aman, Malaysia)

Abstract

The purpose of this paper is to examine Malaysian motorists’ willingness to pay for Chinese lucky plate numbers. Regression analyses reveal that the Chinese bidders are more likely to win and pay significantly more for the Chinese lucky numbers than their non-Chinese counterparts. Consistent with resale motive considerations, the non-Chinese bidders impose the same discount for unlucky numbers as their Chinese counterparts but do not pay a premium for the lucky numbers. We also document the influence of peer effects on the winning bid price. Specifically, Chinese bidders tend to pay more for the same plate numbers won by their peers in the previous auction, whereas both Chinese and non-Chinese bidders are less averse to the unlucky numbers if there are precedents of such ownership among their peers. Overall, our findings suggest that policymakers and marketers need to be sensitive to the subtle differences in the cultural cues of consumers in a multiracial society such as Malaysia.

Suggested Citation

  • Woei-Chyuan Wong & Nur Adiana Hiau Abdullah & Hock-Eam Lim, 2019. "The Value Of Chinese Superstitions In Malaysia: Evidence From Car Plate Auctioning," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 115-137, March.
    • Handle: RePEc:wsi:serxxx:v:64:y:2019:i:01:n:s0217590817430081
    DOI: 10.1142/S0217590817430081
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    1. Maggie Rong Hu & Xiaoyang Li & Yang Shi & Xiaoquan (Michael) Zhang, 2023. "Numerological Heuristics and Credit Risk in Peer-to-Peer Lending," Information Systems Research, INFORMS, vol. 34(4), pages 1744-1760, December.

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