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020 ▼a 9781088393574
035 ▼a (MiAaPQ)AAI13895979
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 020
1001 ▼a Hui, Shen.
24510 ▼a Equilibrium Models with Dynamic Demand and Dynamic Supply.
260 ▼a [S.l.]: ▼b University of Maryland, College Park., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 115 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: A.
500 ▼a Advisor: Sweeting, Andrew.
5021 ▼a Thesis (Ph.D.)--University of Maryland, College Park, 2019.
506 ▼a This item must not be sold to any third party vendors.
506 ▼a This item must not be added to any third party search indexes.
520 ▼a This dissertation comprises two studies of equilibrium models with both dynamic demand and dynamic supply sides. The first is an empirical study of the US video games industry, and the second is a theoretical study.Chapters 1 and 2 develop a model for quantifying the role of social learning in consumers' dynamic demand and finding optimal intertemporal prices for profit maximizing firms in a market populated by forward-looking social learners. Optimal prices are a result of a Markov perfect equilibrium played between the firm and the consumers. Nested in the market equilibrium is a demand equilibrium played among consumers who make the "right" purchase/wait decisions given endogenously produced product information. The empirical exercises are conducted in two steps. The first step estimates demand parameters, including those associated with social learning. Endogeneity of prices is remedied with a pseudo pricing policy function of relevant state variables. In the second step, optimal prices are found by the Mathematical Programming with Equilibrium Constraints (MPEC) approach. The model is applied to the US video games industry with sales data of PlayStation 3 games. The results reveal that (1) compared to static social learning, forward- looking social learning reduces equilibrium profits of games in the sample by $5.2M (28.4%) on average
590 ▼a School code: 0117.
650 4 ▼a Economics.
650 4 ▼a Marketing.
650 4 ▼a Information science.
690 ▼a 0501
690 ▼a 0338
690 ▼a 0723
71020 ▼a University of Maryland, College Park. ▼b Economics.
7730 ▼t Dissertations Abstracts International ▼g 81-05A.
773 ▼t Dissertation Abstract International
790 ▼a 0117
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491662 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK