Notebooks for a short course on urban econometrics, also covering causal inference methods such as experiments, matching, difference in difference, instrumental variables, etc.
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Updated
Jul 11, 2025 - Jupyter Notebook
Notebooks for a short course on urban econometrics, also covering causal inference methods such as experiments, matching, difference in difference, instrumental variables, etc.
Métodos Cuantitativos Aplicados a Estudios Urbanos 2. MEU. UTDT. Curso de introducción al método de regresión para analizar preguntas de investigacion, con ejemplos de economía urbana.
Measures to spatial agglomeration for industries
XGBoost vs. Lasso/Ridge for Bay Area Commute Duration Prediction - OOS R² = 0.646
Lecture notes on urban economic insights, covering topics such as housing, transportation, and urban issues.(都市経済学講義ノート)
Spatial data pipelines and geospatial analysis for a Paris housing-price econometrics thesis.
Continuous vs. discrete spatial metrics in economic geography. Coexistence, similarity & density.
Local Linear Causal Forest estimation of Heterogenous Treatment Effects of NYC Congestion Pricing on Motor Safety
Interactive site-feasibility engine for Bahrain: location scoring, development pro-forma, and 155-cell district x use feasibility matrix
Code Files and Data for "The WealthLine--Examining the Effect of the HealthLine Bus Rapid Transit on Resident Employment"
Analyzing the impact of remote work on migration and housing markets in the Bay Area, with a simulation of a Dynamic Local Income Tax (DLIT) policy.
Luna's Personal Website
Notebook analysis comparing wages and living costs across US, UK, and EU cities.
Reproducible R analysis for Blumenfeld et al. (2024, J. Anthropological Archaeology): spatial equilibrium modeling of urban structure at ancient Teotihuacan using NLS regression, Gini decomposition, and kernel density estimation on archaeological survey data.
Modified monocentric city model with dispersed employers, highways and simulated traffic. Graduate coursework, 2019-2020.
Geospatial analysis framework for predicting real estate prices based on neighborhood characteristics, urban environment factors, and location-based economic indicators for market valuation enhancement
Spatial analysis, using R, of housing supply elasticity in Spain using municipal-level urban land and built surface data (1994–2024).
"Spatial analysis of housing prices in Tashkent using geospatial data and machine learning"
Empirical evaluation of statewide rent-cap policies in Oregon and California, with building-level extensions across twelve U.S. cities
The Polycentric Paradox: a city engineered to be polycentric, yet priced monocentric. Testing the bid-rent gradient on Singapore HDB resale prices — interactive Chart.js demo + Python.
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