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Record W7000216479

Essays in Applied Economics

2022· dissertation· en· W7000216479 on OpenAlexaboutno aff

Bibliographic record

VenueDSpace@MIT (Massachusetts Institute of Technology) · 2022
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsnot available
Fundersnot available
KeywordsLegalizationOutsourcingBarterWageEarningsLeverage (statistics)CurrencyTransaction costCoase theorem
DOInot available

Abstract

fetched live from OpenAlex

The first chapter of this dissertation, which is jointly written with Mayara Felix, asks: Who are the winners and losers as businesses increasingly rely on outsourced workers instead of direct employees to perform services such as security and cleaning? How large are the benefits of domestic outsourcing to the economy compared to its costs? To answer these questions, we leverage Brazil's unexpected legalization of outsourcing in 1993, which sharply increased outsourcing among security guards. Using regional variation in the pre-legalization court permissiveness, we find that outsourcing legalization persistently increased total employment of security guards and benefited younger entrant workers. The average wage of security guards also did not fall and may have mildly increased. However, outsourcing legalization also generated a wave of occupational layoffs that reallocated incumbent workers to lower-wage firms. These facts are explained by a model wherein outsourcing both creates productive efficiencies and reduces worker bargaining power. Seen through the model, our estimates imply that one to five years of the annual efficiency gains from outsourcing legalization would exceed the total earnings losses of laid-off incumbents.
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\nThe second chapter analyzes how the introduction of a digital currency to a barter community in Toronto affected the volume of trade. The community initially banned cash, but subsequently introduced a digital token that could be transferred among users and redeemed at designated local stores for retail goods. Using comprehensive transactions data, I show that a large monetary expansion persistently increased transaction volume by 70% by enabling monetized trade. However, when token redemption was suddenly halted at a subset of stores, a run on the token ensued and both money-mediated and barter trade volume fell. The findings are most consistent with the predictions of a search-theoretic model wherein money functions as a medium of exchange.
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\nThe final chapter studies the effects of partial public housing privatization in Hong Kong. Between 1998 and 2006, Hong Kong’s Tenants Purchase Scheme (TPS) sold a large share of public rental housing to sitting tenants but limited the resale and leasing of sold units. Although TPS did not reallocate housing across households, my quasi-experimental estimates reveal that TPS reduced household sizes and increased household incomes in treated estates. These effects are explained by the relaxation of household-size-contingent income limits and unit allocation rules. TPS therefore benefited well-off tenants, but reduced affordable housing availability for low-income residents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.229
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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