TY - GEN
T1 - A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale
T2 - 2022 IEEE International Conference on Big Data, Big Data 2022
AU - Nanba, Toshihiko
AU - Ogawa, Kazuhito
AU - Watanabe, Naoki
AU - Hayashi, Teruaki
AU - Sakaji, Hiroki
N1 - Funding Information:
The authors gratefully acknowledge the financial s upport o f t he joint usage/research 2021-2022 from Kansai University RISS for this research and the MEXT Grant-in-Aid (20K20279).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This note presents a simple model of pricing data and their constituent variables traded in two-sided markets, where resale of data is allowed. The prices of those variables are exogenously set at the initial round, and in each round those prices are updated for the next round immediately at the end of the round, based on the outcomes of data transactions. If traders behave in accordance with the backward induction, then the initial prices never move in any rounds. In the subject experiment, this property was not observed but the average prices of those variables were not far from the initial values. We also examined whether information provision of the gross profits the user and non-user receive from data transactions affects the social welfare measured by the amounts of producer surplus.
AB - This note presents a simple model of pricing data and their constituent variables traded in two-sided markets, where resale of data is allowed. The prices of those variables are exogenously set at the initial round, and in each round those prices are updated for the next round immediately at the end of the round, based on the outcomes of data transactions. If traders behave in accordance with the backward induction, then the initial prices never move in any rounds. In the subject experiment, this property was not observed but the average prices of those variables were not far from the initial values. We also examined whether information provision of the gross profits the user and non-user receive from data transactions affects the social welfare measured by the amounts of producer surplus.
KW - laboratory experiment
KW - pricing data and variables
KW - resale
KW - trades of information
KW - two-sided market
UR - http://www.scopus.com/inward/record.url?scp=85147939786&partnerID=8YFLogxK
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U2 - 10.1109/BigData55660.2022.10021105
DO - 10.1109/BigData55660.2022.10021105
M3 - Conference contribution
AN - SCOPUS:85147939786
T3 - Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
SP - 3288
EP - 3294
BT - Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
A2 - Tsumoto, Shusaku
A2 - Ohsawa, Yukio
A2 - Chen, Lei
A2 - Van den Poel, Dirk
A2 - Hu, Xiaohua
A2 - Motomura, Yoichi
A2 - Takagi, Takuya
A2 - Wu, Lingfei
A2 - Xie, Ying
A2 - Abe, Akihiro
A2 - Raghavan, Vijay
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 December 2022 through 20 December 2022
ER -