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Record W6906544235 · doi:10.18130/gh0k-4306

Essays on Property Rights Institutions and Financial Inclusion

2025· article· en· W6906544235 on OpenAlexaboutno aff

Bibliographic record

VenueLibra · 2025
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsProperty rightsProperty lawPublic propertyReal propertyProperty (philosophy)Natural resourceLand lawIntangible property

Abstract

fetched live from OpenAlex

In this dissertation, I explore issues surrounding the role of property rights institutions on regional economic development and the financial inclusion of vulnerable populations. In the first chapter, I examine the role of property rights on land use decisions and disparities in modern socioeconomic outcomes in Appalachia. I use historical variation in the court-assigned property rights of surface and mineral owners following a shock in mining technology to study how property rights institutions affected resource allocation, technology adoption, and long-run outcomes in the region. My results suggest that the historical variation in property rights institutions in Appalachia affected resource allocations and had persistent consequences for surface property owners. Using a spatial regression discontinuity, I find 3.5 times greater exposure to surface mining in states where surface owners were not able to exclude mineral owners from using surface mining without their consent, despite similarities in underlying coal characteristics. I also find that historically weaker surface property rights resulted in 31% lower residential property values today—decades after the legal precedents that affected local property rights institutions were overturned. These results suggest that even temporary shocks to property rights institutions can have negative impacts on long-run outcomes. This work has important policy implications for the effect of property rights institutions on natural resource extraction in developing countries where property rights are often incomplete or poorly enforced and for extractive industries, such as hydraulic fracturing, where technological advancements can create ambiguity in existing property rights and liability for damages. In my second chapter, coauthored with Stephanie Ben-Ishai, Zachary Irving, Sheisha Kulkarni, and Avantika Prabhakar, I examine the extent to which bankruptcy filing costs delay and/or deter Canadian debtors from filing for insolvency. By relieving individuals from crippling debt, bankruptcy has been shown to increase home ownership, annual earnings, employment, and entrepreneurship. In addition to improving filers’ future financial outcomes, bankruptcy may also improve psychological well-being by relieving financial stress. However, despite the benefits that insolvency offers, many debtors lack access to bankruptcy due to costs, technological barriers, and stigma. We conduct, to our knowledge, the first randomized controlled trial (RCT) to examine whether lowering the financial barriers to insolvency improves access to this important financial institution. In partnership with a licensed insolvency trustee (LIT) in Canada, we randomly subsidize potential filers with $1,000 toward bankruptcy or consumer proposal filing fees. A separate treatment arm will offer debtors a surprise subsidy after they have decided to file so that we can separately identify income effects from the economic effect of lowering the financial barrier to access bankruptcy. We also use moment-to-moment experience sampling and sub-clinical questionnaires to track participants’ sense of bankruptcy stigma and mental health throughout the filing process to determine whether debt relief improves well-being by relieving financial stress. Using pilot study collected since December 2024, I present preliminary findings that the $1,000 filing subsidy increases the probability that qualified debtors file for insolvency by 13.6 percentage points, which suggests that cost is likely a barrier to access for many individuals who would benefit from filing for insolvency. The final chapter examines whether strengthening residential property rights can promote financial inclusion of new title holders in South Africa. Property rights are crucial for economic growth, yet a majority of households in developing countries still have insecure property rights over their land and residences. Weak property rights in developing countries can serve as a barrier to accessing formal credit systems by limiting households’ ability to use their properties as collateral. In South Africa, many urban and peri urban residential properties remain in the ownership of local municipalities because nonwhite residents were not permitted ownership of these properties under the apartheid regime. Residents have occupation rights but not full ownership rights and no way to collateralize their largest asset. Since 2012, a nonprofit titling program has been facilitating the transfer of properties from municipality ownership into ownership of the residents. This paper uses the staggered treatment timing of the titling program to examine whether receipt of a title deed increases residential property values and whether titled households leverage their title deeds as collateral to access formal credit. Using modern difference-in-differences estimators, I find that receipt of a title deed increases residential property values by 6% on average. I also find that receiving a title deed results in a small but statistically significant 0.5 percentage point increase in the likelihood that property owners use their title as collateral to access formal bank loans.

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.010
Scholarly communication0.0050.008
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.008
GPT teacher head0.200
Teacher spread0.191 · 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 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
Published2025
Admission routes1
Has abstractyes

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