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Information Frictions in Health Care and Transportation
Information Frictions in Health Care and Transportation
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151320
- ISBN
- 9798382607276
- DDC
- 614
- 저자명
- Knies, Austin.
- 서명/저자
- Information Frictions in Health Care and Transportation
- 발행사항
- [Sl] : Indiana University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 253 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
- 주기사항
- Advisor: Melo, Emerson.
- 학위논문주기
- Thesis (Ph.D.)--Indiana University, 2024.
- 초록/해제
- 요약Information is a fundamental part of how individuals make choices, but its role is often ignored or underrepresented in economic models. In this dissertation, I examine the role and impact of information constraints in two real-world, intersecting contexts: the economics of health care and transportation.In the first chapter, I examine differences in information ascertained by health care clinicians across visit modalities for problem-oriented outpatient care before and during the COVID-19 pandemic. Using claims data from a large insurance provider in the United States, I find that patients who receive telehealth in place of in-person care are more likely to experience a subsequent ED visit as well as death within six months, which I then match with theory to quantify the impact of differences in clinician capability of acquiring information about the patient health status across visit modalities.In the second chapter, I study the impact of state-level price transparency websites in Arizona and Iowa by using inpatient records to examine how distances traveled to care by patients change as access to these tools changes over time. I find that these price transparency tools have little to no impact on distance to care, suggesting that any pricing information gained via access to price transparency tools has not led to a significant change in willingness to shop for health care.In the third and final chapter of my dissertation, I, alongside Emerson Melo and Jorge Lorca, study the property of choice aversion in individual routing decisions over transportation networks. We construct a model that mathematically characterizes the behavioral economics of choice aversion by penalizing additional choices in a choice set. We demonstrate that this economic model predicts routing behavior as well as other state-of-the-art routing models that lack clear interpretations and explore some of the welfare properties that our model generates, as well as establishing model validity on traffic data from Sweden.
- 일반주제명
- Health sciences
- 일반주제명
- Transportation
- 키워드
- Choice aversion
- 키워드
- Health care
- 키워드
- Telehealth
- 기타저자
- Indiana University Economics
- 기본자료저록
- Dissertations Abstracts International. 85-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211151320
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■020 ▼a9798382607276
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614
■1001 ▼aKnies, Austin.▼0(orcid)0000-0002-1109-5864
■24510▼aInformation Frictions in Health Care and Transportation
■260 ▼a[Sl]▼bIndiana University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a253 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-11, Section: B.
■500 ▼aAdvisor: Melo, Emerson.
■5021 ▼aThesis (Ph.D.)--Indiana University, 2024.
■520 ▼aInformation is a fundamental part of how individuals make choices, but its role is often ignored or underrepresented in economic models. In this dissertation, I examine the role and impact of information constraints in two real-world, intersecting contexts: the economics of health care and transportation.In the first chapter, I examine differences in information ascertained by health care clinicians across visit modalities for problem-oriented outpatient care before and during the COVID-19 pandemic. Using claims data from a large insurance provider in the United States, I find that patients who receive telehealth in place of in-person care are more likely to experience a subsequent ED visit as well as death within six months, which I then match with theory to quantify the impact of differences in clinician capability of acquiring information about the patient health status across visit modalities.In the second chapter, I study the impact of state-level price transparency websites in Arizona and Iowa by using inpatient records to examine how distances traveled to care by patients change as access to these tools changes over time. I find that these price transparency tools have little to no impact on distance to care, suggesting that any pricing information gained via access to price transparency tools has not led to a significant change in willingness to shop for health care.In the third and final chapter of my dissertation, I, alongside Emerson Melo and Jorge Lorca, study the property of choice aversion in individual routing decisions over transportation networks. We construct a model that mathematically characterizes the behavioral economics of choice aversion by penalizing additional choices in a choice set. We demonstrate that this economic model predicts routing behavior as well as other state-of-the-art routing models that lack clear interpretations and explore some of the welfare properties that our model generates, as well as establishing model validity on traffic data from Sweden.
■590 ▼aSchool code: 0093.
■650 4▼aHealth sciences
■650 4▼aTransportation
■653 ▼aChoice aversion
■653 ▼aHealth care
■653 ▼aInformation frictions
■653 ▼aPrice transparency
■653 ▼aTelehealth
■690 ▼a0501
■690 ▼a0566
■690 ▼a0709
■71020▼aIndiana University▼bEconomics.
■7730 ▼tDissertations Abstracts International▼g85-11B.
■790 ▼a0093
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161174▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
