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Labor Reallocation During Booms: The Role of Duration Uncertainty.
Labor Reallocation During Booms: The Role of Duration Uncertainty.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0017160736
- International Standard Book Number
- 9798382775364
- Dewey Decimal Classification Number
- 320
- Main Entry-Personal Name
- Sora, Marcos Gabriel.
- Publication, Distribution, etc. (Imprint
- [S.l.] : The University of Chicago., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 83 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
- General Note
- Advisor: Rossi-Hansberg, Esteban;Kaplan, Greg.
- Dissertation Note
- Thesis (Ph.D.)--The University of Chicago, 2024.
- Summary, Etc.
- 요약A salient aspect of sectoral booms - prevalent in commodities, construction, or tech - is that the end of the boom phase is difficult to predict. I study how this uncertainty shapes labor mobility across sectors during the boom phase. Using a model of sector- specific human capital accumulation I show that workers can exhibit risk-loving attitudes towards duration, leading to ambiguous effects of uncertainty on labor supply. Then, I turn to an empirical investigation of the effects of duration uncertainty during the boom in mineral prices of 2011-2018, driven by a construction boom in China. I estimate the model using financial data and novel administrative micro-data from Australia, an exporter of mineral products to China. I use the quantified model to study a counterfactual perfect foresight economy in which the mining boom was temporary and duration certain. I find that the mining share of employment in Australia would have increased from 3.7% to 4.4%, and the relative wage in the sector would have been substantially lower, leading to a decrease in labor income inequality. Changes in the age composition of the mining sector indicate heterogeneous attitudes towards risk across age groups.
- Subject Added Entry-Topical Term
- Political science.
- Index Term-Uncontrolled
- Commodity booms
- Index Term-Uncontrolled
- Human capital
- Index Term-Uncontrolled
- International trade
- Index Term-Uncontrolled
- Labor
- Index Term-Uncontrolled
- Duration uncertainty
- Added Entry-Corporate Name
- The University of Chicago Economics
- Host Item Entry
- Dissertations Abstracts International. 85-12A.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:656696
MARC
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■006m o d
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■020 ▼a9798382775364
■035 ▼a(MiAaPQ)AAI31143947
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a320
■1001 ▼aSora, Marcos Gabriel.
■24510▼aLabor Reallocation During Booms: The Role of Duration Uncertainty.
■260 ▼a[S.l.]▼bThe University of Chicago. ▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a83 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-12, Section: A.
■500 ▼aAdvisor: Rossi-Hansberg, Esteban;Kaplan, Greg.
■5021 ▼aThesis (Ph.D.)--The University of Chicago, 2024.
■520 ▼aA salient aspect of sectoral booms - prevalent in commodities, construction, or tech - is that the end of the boom phase is difficult to predict. I study how this uncertainty shapes labor mobility across sectors during the boom phase. Using a model of sector- specific human capital accumulation I show that workers can exhibit risk-loving attitudes towards duration, leading to ambiguous effects of uncertainty on labor supply. Then, I turn to an empirical investigation of the effects of duration uncertainty during the boom in mineral prices of 2011-2018, driven by a construction boom in China. I estimate the model using financial data and novel administrative micro-data from Australia, an exporter of mineral products to China. I use the quantified model to study a counterfactual perfect foresight economy in which the mining boom was temporary and duration certain. I find that the mining share of employment in Australia would have increased from 3.7% to 4.4%, and the relative wage in the sector would have been substantially lower, leading to a decrease in labor income inequality. Changes in the age composition of the mining sector indicate heterogeneous attitudes towards risk across age groups.
■590 ▼aSchool code: 0330.
■650 4▼aPolitical science.
■653 ▼aCommodity booms
■653 ▼aHuman capital
■653 ▼aInternational trade
■653 ▼aLabor
■653 ▼aDuration uncertainty
■690 ▼a0501
■690 ▼a0601
■690 ▼a0615
■71020▼aThe University of Chicago▼bEconomics.
■7730 ▼tDissertations Abstracts International▼g85-12A.
■790 ▼a0330
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160736▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
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