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Information Frictions in Health Care and Transportation.
Information Frictions in Health Care and Transportation.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0017161174
- International Standard Book Number
- 9798382607276
- Dewey Decimal Classification Number
- 614
- Main Entry-Personal Name
- Knies, Austin.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Indiana University., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 253 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
- General Note
- Advisor: Melo, Emerson.
- Dissertation Note
- Thesis (Ph.D.)--Indiana University, 2024.
- Summary, Etc.
- 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.
- Subject Added Entry-Topical Term
- Health sciences.
- Subject Added Entry-Topical Term
- Transportation.
- Index Term-Uncontrolled
- Choice aversion
- Index Term-Uncontrolled
- Health care
- Index Term-Uncontrolled
- Information frictions
- Index Term-Uncontrolled
- Price transparency
- Index Term-Uncontrolled
- Telehealth
- Added Entry-Corporate Name
- Indiana University Economics
- Host Item Entry
- Dissertations Abstracts International. 85-11B.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:656396
MARC
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■1001 ▼aKnies, Austin.▼0(orcid)0000-0002-1109-5864
■24510▼aInformation Frictions in Health Care and Transportation.
■260 ▼a[S.l.]▼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.
