Bibliographic record
Abstract
My thesis consists of three chapters on how infrastructure and regulation shape urban and spatial outcomes. While rather different in terms of the specific topic, they share at least three common themes. First, all chapters are policy-oriented and speak to currently urgent issues. Second, they study how access—whether to goods, services, jobs, or essential needs—is shaped, by either physical infrastructure or policy. Third, ultimately, they are about how we can enhance the sustainability of the world. In terms of methodology, all chapters employ quasi-natural experimental designs, while two additionally adopt structural models, including dynamic game of entry and exit from empirical industrial organization and quantitative spatial model from urban and spatial economics. Below I briefly introduce each chapter. In Chapter 1, I study the cost impacts of minimum parking requirements (MPRs) for retail and local services firms. As a common North American land use regulation, MPRs require firms to provide parking proportional to size upon opening and operating. I derive exogenous sources of variation from a 2012 reform in Seattle that reduced MPRs in parts of the city delineated by arbitrary boundaries. I find extensive margin effects of MPR reductions, which positively impacted firm entry, survival, and related local outcomes, implying MPRs increase firm entry costs and fixed costs. Estimates from a dynamic discrete choice structural game theoretic model of entry and exit indicate that MPRs raise entry costs by 24 percent. A census tract would have at least one percent more firms if its MPRs were removed. Chapter 2 is about a quasi-natural experiment in August 2015 when Houston rolled out a complete redesign of its bus route network. This came in response to falling ridership, a new light rail system, and new employment centers. This paper evaluates the consequences for commuting patterns and welfare. Using old bus routes as the instrumental variable, at the census tract pair level, I find a one-minute travel time reduction due to the redesign led to a 0.94% increase in the number of commuters from 2014 to 2018. I also find large extensive margin effects. Evaluated through a quantitative spatial equilibrium model with mode choice, the redesign was welfare-improving. My counterfactual exercises bring new insights on the importance of connecting buses to intermodal transfer points, population, and employment centers. My contributions include that I provide a first study of the bus to the transit policy evaluation literature, and that I study a cheap re-optimization, instead of a costly expansion, of transit. Chapter 3, coauthored with Stephan Heblich, examines the impact of global warming on the presence of ice roads in far north Canada, which are crucial for transporting essential goods to remote northern communities, particularly First Nations. In recent decades, the operational duration of ice roads has diminished, resulting in a higher reliance on costly supply flights. To assess the consequences on food security, we exploit data from Nutrition North Canada, which offers subsidiesfor shipping to eligible communities. We find winter temperatures are negatively correlated with the availability of ice roads. When they are less available, more aircrafts fly in as a substitution. Using temperature as instrument, we show shorter ice road durations cause more shipping post winter, when only aircraft is available. So, food prices may rise and consumption may decline. To summarize, urban and spatial policies deeply affect access, growth, and equity. Applying empirical tools, I evaluate unique, live policy issues while preserving external validity, and enhance our understanding of mitigation of climate change. I believe the three essays are meaningful contributions to urban and spatial economics.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".