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Essays in Industrial Organization
Essays in Industrial Organization
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151513
- ISBN
- 9798383192627
- DDC
- 320
- 저자명
- Wang, Chao.
- 서명/저자
- Essays in Industrial Organization
- 발행사항
- [Sl] : Indiana University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 176 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-01, Section: A.
- 주기사항
- Advisor: Xiao, Ruli;Weiergraeber, Stefan.
- 학위논문주기
- Thesis (Ph.D.)--Indiana University, 2024.
- 초록/해제
- 요약This dissertation consists of three chapters in industrial organization. Chapter 1 studies the impact of household vehicle holding on a household's vehicle purchasing decisions and the benefit of taking into account such an impact on electric vehicles (EV) subsidy policy. I develop a structural model of household automobile decisions while allowing for the willingness to pay for the new vehicle to vary with the current vehicle holdings. Combining market sales data and survey information in California, I identify and estimate the preference heterogeneity induced by vehicle holding and quantify its welfare implications. Households without vehicles exhibit a higher vehicle purchase propensity, while households with EVs are more likely to acquire additional EVs compared to households with gasoline vehicles. Counterfactual simulations indicate that redistributing subsidy amounts across households with different vehicle holdings could increase EV sales by 8% without augmenting subsidy expenditure, at the cost of a 0.1% reduction in consumer surplus. In contrast, achieving the same level of EV sales under the current subsidy scheme would require an additional $81.6 million in the government's subsidy budget.Chapter 2 studies the consumer decisions for the old vintage and newer version among the products with different technology change rates in the same market. We develop a structural model of household automobile decisions in the new car market. Utilizing the quarterly sales data of old and new vintages of new gasoline vehicles (GVs) and electric vehicles (EVs) between 2014 to 2016 in California, we identify and estimate the consumer preference on vehicle age and old vintage of GVs and EVs. We find that consumer value less for GVs coming to market longer, while value more for EVs of higher age. What's more, consumer values less for the old vintages of both GVs and EVs, and the effects on EVs are higher.Chapter 3, joint with Ruli Xiao and Stefan Weiergraeber, studies the identification of dynamic discrete choice models with hyperbolic discounting using a terminating action. We provide novel identification results for both sophisticated and naive agents' discount factors and their utilities in a finite horizon framework under the assumption of a stationary flow utility. In contrast to existing identification strategies we do not require to observe the final period for the sophisticated agent. Moreover, we avoid normalizing the flow utility of a reference action for both the sophisticated and the naive agent. We propose two simple estimators and show that they perform well in simulations.
- 일반주제명
- Public policy
- 키워드
- Subsidy policy
- 키워드
- Vintage model
- 기타저자
- Indiana University Economics
- 기본자료저록
- Dissertations Abstracts International. 86-01A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008250123s2024 us c eng d■001000017162004
■00520250211151513
■006m o d
■007cr#unu||||||||
■020 ▼a9798383192627
■035 ▼a(MiAaPQ)AAI31300035
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a320
■1001 ▼aWang, Chao.
■24510▼aEssays in Industrial Organization
■260 ▼a[Sl]▼bIndiana University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a176 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-01, Section: A.
■500 ▼aAdvisor: Xiao, Ruli;Weiergraeber, Stefan.
■5021 ▼aThesis (Ph.D.)--Indiana University, 2024.
■520 ▼aThis dissertation consists of three chapters in industrial organization. Chapter 1 studies the impact of household vehicle holding on a household's vehicle purchasing decisions and the benefit of taking into account such an impact on electric vehicles (EV) subsidy policy. I develop a structural model of household automobile decisions while allowing for the willingness to pay for the new vehicle to vary with the current vehicle holdings. Combining market sales data and survey information in California, I identify and estimate the preference heterogeneity induced by vehicle holding and quantify its welfare implications. Households without vehicles exhibit a higher vehicle purchase propensity, while households with EVs are more likely to acquire additional EVs compared to households with gasoline vehicles. Counterfactual simulations indicate that redistributing subsidy amounts across households with different vehicle holdings could increase EV sales by 8% without augmenting subsidy expenditure, at the cost of a 0.1% reduction in consumer surplus. In contrast, achieving the same level of EV sales under the current subsidy scheme would require an additional $81.6 million in the government's subsidy budget.Chapter 2 studies the consumer decisions for the old vintage and newer version among the products with different technology change rates in the same market. We develop a structural model of household automobile decisions in the new car market. Utilizing the quarterly sales data of old and new vintages of new gasoline vehicles (GVs) and electric vehicles (EVs) between 2014 to 2016 in California, we identify and estimate the consumer preference on vehicle age and old vintage of GVs and EVs. We find that consumer value less for GVs coming to market longer, while value more for EVs of higher age. What's more, consumer values less for the old vintages of both GVs and EVs, and the effects on EVs are higher.Chapter 3, joint with Ruli Xiao and Stefan Weiergraeber, studies the identification of dynamic discrete choice models with hyperbolic discounting using a terminating action. We provide novel identification results for both sophisticated and naive agents' discount factors and their utilities in a finite horizon framework under the assumption of a stationary flow utility. In contrast to existing identification strategies we do not require to observe the final period for the sophisticated agent. Moreover, we avoid normalizing the flow utility of a reference action for both the sophisticated and the naive agent. We propose two simple estimators and show that they perform well in simulations.
■590 ▼aSchool code: 0093.
■650 4▼aPublic policy
■653 ▼aDynamic discrete choice model
■653 ▼aElectric vehicles
■653 ▼aHousehold heterogeneity
■653 ▼aHyperbolic discounting
■653 ▼aSubsidy policy
■653 ▼aVintage model
■690 ▼a0501
■690 ▼a0630
■690 ▼a0438
■690 ▼a0454
■71020▼aIndiana University▼bEconomics.
■7730 ▼tDissertations Abstracts International▼g86-01A.
■790 ▼a0093
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162004▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
