Research

My research focuses on spatial econometrics, discrete choice models, binary response models, simulation-based estimation, causal inference, and applied microeconometrics.

Contents

Categories

Spatial econometrics Discrete choice Binary response models Causal inference R package Simulation Amenities Applied microeconometrics Discrete choice models Education Environmental economics Health economics Latent class Mixed logit Random parameters Regional economics Subjective well-being Transportation


Publications

A J-test for spatial autoregressive binary models

Gianfranco Piras and Mauricio Sarrias. Spatial Statistics, 2025.

Spatial econometrics Binary response models Discrete choice Simulation

Develops a J-test for spatial autoregressive binary response models and evaluates its finite-sample performance through simulation and applied evidence.

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Happy Where You Are? Exploring Migration Intentions and Subjective Well-being Through a Discrete Choice Experiment

Victor Iturra and Mauricio Sarrias. Journal of Happiness Studies, 2025.

Discrete choice Subjective well-being Latent class Random parameters

Studies how subjective well-being shapes migration intentions using a discrete choice experiment that captures heterogeneity in location preferences.

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Instrumental variable estimation with observed and unobserved heterogeneity of the treatment and instrument effect: a latent class approach

Pablo Rodriguez and Mauricio Sarrias. Empirical Economics, 2024.

Discrete choice Causal inference Latent class

Develops a latent-class IV framework for treatment-effect estimation when both treatment responses and instrument effects are heterogeneous.

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Amenities and individual heterogeneity in the return to schooling

Victor Iturra and Mauricio Sarrias. Letters in Spatial and Resource Sciences, 2023.

Discrete choice Education Random parameters Amenities

Analyzes how local amenities and individual heterogeneity shape the estimated returns to schooling.

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Estimating Heteroskedastic and Instrumental Variable Models for Binary Outcome Variables in R

Mauricio Sarrias. The R Journal, 2023.

Binary response models Discrete choice Causal inference R package

Introduces R tools for binary outcome models with heteroskedasticity and endogenous regressors, with emphasis on applied microeconometric use.

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GMM Estimators for Binary Spatial Models in R

Gianfranco Piras and Mauricio Sarrias. Journal of Statistical Software, 2023.

Spatial econometrics Binary response models Discrete choice models R package

Presents GMM estimators for binary spatial models and their implementation in R, combining methodological detail with reproducible software examples.

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Heterogeneous spatial models in R: spatial regimes models

Gianfranco Piras and Mauricio Sarrias. Journal of Spatial Econometrics, 2023.

Spatial econometrics R package Random parameters

Provides R tools for spatial regimes models, allowing spatial relationships and covariate effects to differ across groups or regions.

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One or two-step? Evaluating GMM efficiency for spatial binary probit models

Gianfranco Piras and Mauricio Sarrias. Journal of Choice Modelling, 2023.

Spatial econometrics Binary response models Simulation

Compares one-step and two-step GMM strategies for spatial binary probit models, focusing on efficiency, bias, and practical estimation trade-offs.

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Bodyweight and human capital development: Assessing the impact of obesity on socioemotional skills during childhood in Chile

Mauricio Sarrias and Alejandra Blanco. Economics & Human Biology, 2022.

Causal inference Health economics

Estimates the effect of childhood obesity on socioemotional skill formation in Chile, linking health status to human capital development.

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Estimating the non-pecuniary benefit of engaging in pro-environmental behaviors: Incorporating both heterogeneous preferences and income endogeneity

Cristian Ortiz and Mauricio Sarrias. Journal of Environmental Management, 2022.

Discrete choice Causal inference Environmental economics Latent class Random parameters

Estimates the non-pecuniary benefits of pro-environmental behavior while accounting for preference heterogeneity and income endogeneity.

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The Impact of Bodyweight on Life Satisfaction among School-Aged Children: Are the Mechanisms Gender-Based?

Victor Iturra and Mauricio Sarrias. Child Indicators Research, 2022.

Causal inference Subjective well-being Health economics

Assesses how bodyweight affects life satisfaction among school-aged children and whether the underlying mechanisms differ by gender.

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Valuing urban drinking water supply attributes: A case study from Chile

Cristian González-Santander and Mauricio Sarrias and Ricardo A. Daziano and Lisandro Roco. Water Resources and Economics, 2022.

Discrete choice Environmental economics Mixed logit Random parameters

Uses discrete choice methods to value urban drinking-water attributes in Chile, highlighting household preferences over service quality.

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Your Air Pollution Makes Me Sick! Estimating the Spatial Spillover Effects of PM2.5 Emissions on Emergency Room Visits in Chile

Mauricio Sarrias and Anita Molina-Varas. REGION, 2022.

Spatial econometrics Health economics Environmental economics

Estimates spatial spillover effects of PM2.5 emissions on emergency-room visits in Chile, highlighting health impacts beyond local exposure.

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A two recursive equation model to correct for endogeneity in latent class binary probit models

Mauricio Sarrias. Journal of Choice Modelling, 2021.

Discrete choice Binary response models Causal inference Latent class Random parameters

Develops a recursive-equation approach to correct endogeneity in latent-class binary probit models.

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The Double Burden of Being A Woman and Obese: Evidence from the Chilean Labor Market

Mauricio Sarrias and Victor Iturra. Feminist Economics, 2021.

Health economics

Studies the labor-market penalties associated with obesity in Chile, emphasizing the additional burden faced by women.

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Are preferences for city attributes heterogeneous? An assessment using a discrete choice experiment

Diana Romero-Espinosa and Mauricio Sarrias and Ricardo Daziano. Papers in Regional Science, 2021.

Discrete choice Mixed logit Random parameters Amenities

Uses a discrete choice experiment to measure heterogeneity in preferences for city attributes and urban amenities.

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Effects of spatial competition on public educational efficiency: an analysis for the Chilean Metropolitan Region

Camilo Quintero-Fragozo and Yasna Cortés and Mauricio Sarrias. Journal of Education Policy, 2021.

Causal inference Education Regional economics

Analyzes how spatial competition among municipalities affects public educational efficiency in the Chilean Metropolitan Region.

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Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks

Mauricio Sarrias. Journal of Choice Modelling, 2020.

Discrete choice Simulation Mixed logit Random parameters

Studies individual-specific posterior distributions from mixed logit models, clarifying their properties, limitations, and diagnostic use.

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Random Parameters and Spatial Heterogeneity using Rchoice in R

Mauricio Sarrias. REGION, 2020.

Spatial econometrics Discrete choice R package Mixed logit Random parameters

Shows how the Rchoice package can estimate random-parameter models and spatial heterogeneity in applied regional analysis.

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How Much Should We Pay for Mental Health Deterioration? The Subjective Monetary Value of Mental Health After the 27F Chilean Earthquake

Mauricio Sarrias and Benjamin Jara. Journal of Happiness Studies, 2019.

Subjective well-being Health economics

Estimates the subjective monetary value of mental-health deterioration after the 27F Chilean earthquake.

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The monetary subjective health evaluation for commuting long distances in Chile: A latent class analysis

J. Palomino and M. Sarrias. Papers in Regional Science, 2019.

Discrete choice Latent class Subjective well-being Health economics Transportation Random parameters

Uses latent-class methods to estimate the subjective health cost of long-distance commuting in Chile.

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We Do Not Have the Same Tastes! Evaluating Individual Heterogeneity in the Preferences for Amenities

G. Ahumada and V. Iturra and M. Sarrias. Journal of Happiness Studies, 2019.

Discrete choice Regional economics Random parameters Mixed logit Amenities

Evaluates individual heterogeneity in preferences for amenities, showing that willingness to pay varies substantially across people.

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Do monetary subjective well-being evaluations vary across space? Comparing continuous and discrete spatial heterogeneity

Mauricio Sarrias. Spatial Economic Analysis, 2018.

Spatial econometrics Subjective well-being Random parameters Mixed logit Latent class

Compares continuous and discrete models of spatial heterogeneity in subjective well-being valuations.

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Individual-specific point and interval conditional estimates of latent class logit parameters

Mauricio Sarrias and Ricardo A. Daziano. Journal of Choice Modelling, 2018.

Discrete choice Latent class Random parameters

Derives and applies individual-specific point and interval estimates for parameters in latent-class logit models.

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Regional concentration and national economic growth in Brazil and Chile

P. Aroca and C. Azzoni and M. Sarrias. Letters in Spatial and Resource Sciences, 2018.

Regional economics

Examines the relationship between regional concentration and national economic growth in Brazil and Chile.

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Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles

Ricardo A. Daziano and Mauricio Sarrias and Benjamin Leard. Transportation Research Part C: Emerging Technologies, 2017.

Discrete choice Transportation Random parameters Mixed logit

Uses stated-choice data to estimate willingness to pay for autonomous vehicle features and related transportation technologies.

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Convergence to the managerial frontier

William F. Maloney and Mauricio Sarrias. Journal of Economic Behavior & Organization, 2017.

Applied microeconometrics

Studies convergence toward a managerial frontier, linking firm or management performance to productivity dynamics.

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Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

Mauricio Sarrias and Ricardo Daziano. Journal of Statistical Software, 2017.

Discrete choice R package Mixed logit Random parameters

Introduces the gmnl package for estimating multinomial logit models with continuous and discrete individual heterogeneity in R.

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Discrete Choice Models with Random Parameters in R: The Rchoice Package

Mauricio Sarrias. Journal of Statistical Software, 2016.

Discrete choice R package Random parameters

Introduces the Rchoice package for estimating discrete choice models with random parameters in R.

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Heterogeneity in subjective wellbeing: An application to occupational allocation in Africa

Paolo Falco and William F. Maloney and Bob Rijkers and Mauricio Sarrias. Journal of Economic Behavior & Organization, 2015.

Subjective well-being Discrete choice Random parameters

Analyzes heterogeneity in subjective well-being across occupational allocations in Africa using applied discrete choice methods.

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Research by topic

Spatial econometrics

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Discrete choice

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Binary response models

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Causal inference

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R package

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Simulation

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Amenities

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Applied microeconometrics

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Discrete choice models

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Education

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Environmental economics

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Health economics

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Latent class

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Mixed logit

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Random parameters

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Regional economics

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Subjective well-being

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Transportation

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