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Labor Demand and the Macroeconomy.
Labor Demand and the Macroeconomy.

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자료유형  
 학위논문
Control Number  
0017161418
International Standard Book Number  
9798382843056
Dewey Decimal Classification Number  
331
Main Entry-Personal Name  
Li, Zongyang.
Publication, Distribution, etc. (Imprint  
[S.l.] : Cornell University., 2024
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Physical Description  
198 p.
General Note  
Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
General Note  
Advisor: Lovenheim, Michael.
Dissertation Note  
Thesis (Ph.D.)--Cornell University, 2024.
Summary, Etc.  
요약My research lies at the intersection of macroeconomics and labor economics, with a particular focus on the demand side of the labor market. Broadly, my work can be characterized as that of an applied macroeconomist studying labor economic issues by applying macroeconomic models and applied labor tools. I combine rich empirical analyses with models of heterogeneous workers that incorporate labor market dynamics, firm dynamics, and macroeconomic outcomes to investigate the research questions. I discuss three chapters of my ongoing projects in this dissertation.In the first chapter, using worker surveys and online job posting data, I document that the U.S. economy has seen a substantial increase in the mixing of skill requirements from 2005-2018, both for incumbent jobs and newly posted vacancies. American workers increasingly work in occupations that demand mixtures of analytical, computer, and interpersonal skills rather than specializing in one of them, even within granular occupations. This change occurred primarily in low- to medium-wage occupations, and workers in occupations that increasingly mix non-routine skills, or those with a broader set of these skills earn a wage premium.In the second chapter, I build a multi-dimensional directed search and matching model with two-sided heterogeneity and endogenous choices to understand the sources of skill mixing shifts,. In this framework, firms optimally choose occupations' skill intensities before producing with a worker. Simultaneously, workers make decisions about their jobs as well as their life-time skill development trajectories. Counterfactual analysis shows that the rise in the complementarity of skills in production and in the cost of skills for occupation operation are the main drivers of skill mixing shifts and the corresponding wage and employment dynamics in this period.In the third chapter, I study the spatial general equilibrium and redistribution effects of e-commerce on different local labor markets from a trade perspective based on the production technology change in the retail sector. Using a panel of products and retailers on Amazon, I document that online retailers are more agglomerated in space, particularly for those using Amazon's distribution and fulfillment centers, and their agglomeration is related to higher trade flows of the upstream goods. I then incorporate consumer search and retailer location choices into a multi-sector gravity trade model with an elastic supply of heterogeneous workers. The model implies that the increase in online shopping efficiency, the rise in online retailer agglomeration, and the reduction in shipping friction will induce greater industrial and occupational specialization. Quantitative analysis shows that the growth of Amazon from 2007-2017 had led to overall declines in retail prices, but also worker reallocation out of manufacturing sector, resulting in a 1 percent decrease in welfare. Non-employment increases by 2.3 percentage points and the Gini index on employment across regions increases by near 20 percent, exacerbating regional inequality.
Index Term-Uncontrolled  
Inequality
Index Term-Uncontrolled  
Occupations
Index Term-Uncontrolled  
Search model
Index Term-Uncontrolled  
Skill demand
Index Term-Uncontrolled  
Technological changes
Index Term-Uncontrolled  
Trade
Added Entry-Corporate Name  
Cornell University Economics
Host Item Entry  
Dissertations Abstracts International. 85-12A.
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
Control Number  
joongbu:658034

MARC

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■020    ▼a9798382843056
■035    ▼a(MiAaPQ)AAI31243479
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a331
■1001  ▼aLi,  Zongyang.▼0(orcid)0000-0001-9839-1422
■24510▼aLabor  Demand  and  the  Macroeconomy.
■260    ▼a[S.l.]▼bCornell  University.  ▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a198  p.
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-12,  Section:  A.
■500    ▼aAdvisor:  Lovenheim,  Michael.
■5021  ▼aThesis  (Ph.D.)--Cornell  University,  2024.
■520    ▼aMy  research  lies  at  the  intersection  of  macroeconomics  and  labor  economics,  with  a  particular  focus  on  the  demand  side  of  the  labor  market.  Broadly,  my  work  can  be  characterized  as  that  of  an  applied  macroeconomist  studying  labor  economic  issues  by  applying  macroeconomic  models  and  applied  labor  tools.  I  combine  rich  empirical  analyses  with  models  of  heterogeneous  workers  that  incorporate  labor  market  dynamics,  firm  dynamics,  and  macroeconomic  outcomes  to  investigate  the  research  questions.  I  discuss  three  chapters  of  my  ongoing  projects  in  this  dissertation.In  the  first  chapter,  using  worker  surveys  and  online  job  posting  data,  I  document  that  the  U.S.  economy  has  seen  a  substantial  increase  in  the  mixing  of  skill  requirements  from  2005-2018,  both  for  incumbent  jobs  and  newly  posted  vacancies.  American  workers  increasingly  work  in  occupations  that  demand  mixtures  of  analytical,  computer,  and  interpersonal  skills  rather  than  specializing  in  one  of  them,  even  within  granular  occupations.  This  change  occurred  primarily  in  low-  to  medium-wage  occupations,  and  workers  in  occupations  that  increasingly  mix  non-routine  skills,  or  those  with  a  broader  set  of  these  skills  earn  a  wage  premium.In  the  second  chapter,  I  build  a  multi-dimensional  directed  search  and  matching  model  with  two-sided  heterogeneity  and  endogenous  choices  to  understand  the  sources  of  skill  mixing  shifts,.  In  this  framework,  firms  optimally  choose  occupations'  skill  intensities  before  producing  with  a  worker.  Simultaneously,  workers  make  decisions  about  their  jobs  as  well  as  their  life-time  skill  development  trajectories.  Counterfactual  analysis  shows  that  the  rise  in  the  complementarity  of  skills  in  production  and  in  the  cost  of  skills  for  occupation  operation  are  the  main  drivers  of  skill  mixing  shifts  and  the  corresponding  wage  and  employment  dynamics  in  this  period.In  the  third  chapter,  I  study  the  spatial  general  equilibrium  and  redistribution  effects  of  e-commerce  on  different  local  labor  markets  from  a  trade  perspective  based  on  the  production  technology  change  in  the  retail  sector.  Using  a  panel  of  products  and  retailers  on  Amazon,  I  document  that  online  retailers  are  more  agglomerated  in  space,  particularly  for  those  using  Amazon's  distribution  and  fulfillment  centers,  and  their  agglomeration  is  related  to  higher  trade  flows  of  the  upstream  goods.  I  then  incorporate  consumer  search  and  retailer  location  choices  into  a  multi-sector  gravity  trade  model  with  an  elastic  supply  of  heterogeneous  workers.  The  model  implies  that  the  increase  in  online  shopping  efficiency,  the  rise  in  online  retailer  agglomeration,  and  the  reduction  in  shipping  friction  will  induce  greater  industrial  and  occupational  specialization.  Quantitative  analysis  shows  that  the  growth  of  Amazon  from  2007-2017  had  led  to  overall  declines  in  retail  prices,  but  also  worker  reallocation  out  of  manufacturing  sector,  resulting  in  a  1  percent  decrease  in  welfare.  Non-employment  increases  by  2.3  percentage  points  and  the  Gini  index  on  employment  across  regions  increases  by  near  20  percent,  exacerbating  regional  inequality.
■590    ▼aSchool  code:  0058.
■653    ▼aInequality
■653    ▼aOccupations
■653    ▼aSearch  model
■653    ▼aSkill  demand
■653    ▼aTechnological  changes
■653    ▼aTrade
■690    ▼a0501
■690    ▼a0510
■690    ▼a0509
■71020▼aCornell  University▼bEconomics.
■7730  ▼tDissertations  Abstracts  International▼g85-12A.
■790    ▼a0058
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161418▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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