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Record W7009591957

Essays In Urban And Regional Economics

2021· article· en· W7009591957 on OpenAlexaboutno aff

Bibliographic record

VenueScholarlyCommons (University of Pennsylvania) · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsProfit marginUnemploymentProductivityDifferential (mechanical device)Margin (machine learning)Shock (circulatory)Profit (economics)Barriers to entry
DOInot available

Abstract

fetched live from OpenAlex

This dissertation consists of three chapters exploring how geography and housing markets affect economic outcomes at the individual, firm and industry levels, both within and across cities.\nChapter 2 analyses economic outcomes at the individual level, by providing the first estimate of the causal effects of commuting distance on inventor productivity using employer relocations as exogenous shocks. We find that every ten-kilometer increase in distance is associated with a 5% decrease in patent counts per inventor-firm pair per year, and an even greater 7% decrease in patent quality.\nChapter 3 studies outcomes at the firm level, providing the first look in the literature of how cultural entry barriers can affect firm entry decisions, using the setting of the Canadian retail banking industry. In order to do so, we estimate a perfect information static entry game between Canadian financial institutions, incorporating both cultural entry barriers and other demographic variables. We find that the effect of a one-standard deviation increase in cultural entry barriers equals the combined effect of a one-standard deviation change in income per capita, population, business activity, and unemployment rate.\nChapter 4 proposes and analyzes a new channel for the propagation of localized shocks via product market interactions. In short, localized shocks may induce differential changes in land and home prices across cities, which would act as a cost shock to local firms in tradable industries, relative to firms in the same tradable industry, located in other cities. Tradable industries located in cities experiencing relative negative cost shocks would see increased profit margin and market share, as existing firms expand, and new firms move in. To test this channel empirically, I use a novel identification strategy of housing price decomposition that subtract out the effects of observable spatially correlated trends from overall housing price changes, to obtain local idiosyncratic shocks in housing prices. I find that higher housing price growth in other cities with similar industries have a consistent and significant positive effect on same-industry growth in the focal city.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.004

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 head0.029
GPT teacher head0.180
Teacher spread0.151 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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