Mauricio SarriasUniversidad de Talca · Facultad de Economía y Negocios
Mauricio Sarrias
PhD in Regional Science
About
47
Publications
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Introduction
Mauricio Sarrias currently works at the Faculty of Economics and Business, Universidad de Talca (Chile). Mauricio does research in Econometrics, Health Economics and Economic Geography. Their current project is 'Discrete Choice Models'.
Additional affiliations
Education
August 2013 - July 2016
March 2008 - December 2009
Publications
Publications (47)
This paper introduces the package gmnl in R for estimation of multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) data. Unobserved heterogeneity is modeled by allowing the parameters to vary randomly over individuals according to a continuous, discrete, or mixture distribution, whic...
Rchoice is a package in R for estimating models with individual heterogeneity for both cross-sectional and panel (longitudinal) data. In particular, the package allows binary, ordinal and count response, as well as continuous and discrete covariates. Individual heterogeneity is modeled by allowing the parameter associated with each observed variabl...
Within the realm of logit-type random parameter models to address unobserved heterogeneity in preferences there are two dominant approaches: the mixed logit model, which assumes parametric and continuous heterogeneity distributions, and the latent class logit model, which is a discrete and semiparametric counterpart of mixed logit. In addition to o...
Individual-specific posterior distributions are an attractive tool for disentangling the tastes for each person in the sample. However, there exists some risks and certain limitations regarding their use. This study reviews and summarizes the theoretical literature about the individual-specific posterior distributions derived from the Mixed Logit m...
This article proposes a two recursive equation model to correct for endogeneity in latent class Probit models. Concretely, it is assumed that there exists an endogenous and continuous variable defined as a predictor, while unobserved heterogeneity is conceptualized as a vector of parameters that varies across individuals following a discrete distri...
This article introduces a latent class approach to estimate the impact of a continuous and endogenous treatment on a continuous outcome, incorporating observed and unobserved heterogeneity in both the treatment and instrument effects, and relaxing the monotonicity assumption across groups of individuals. Our approach, based on a fully parametric mo...
Despite the huge availability of software to estimate cross-sectional spatial models, there are only few functions to estimate models dealing with spatial limited dependent variable. This paper fills this gap introducing the new R package spldv. The package is based on generalized methods of moment (GMM) estimators and includes a series of one- and...
In this article we propose two-step generalized method of moment (GMM) procedure for a Spatial Binary Probit Model. In particular, we propose a series of two-step estimators based on different choices of the weighting matrix for the moments conditions in the first step, and different estimators for the variance–covariance matrix of the estimated co...
This paper presents the progress made so far in the development of the R package hspm. The package hspm aims at implementing a variety of models and methods to control for heterogeneity in spatial models. Spatial heterogeneity can be specified in different ways, ranging from exogenous (or endogenous) spatial regimes models, to models with coefficie...
We analyze the role played by amenities in the mean and variance of the return of schooling’s distribution. To do so, we employ a random parameter approach to consider the whole distribution of schooling, and testing how much of the unobserved heterogeneity is reduced when amenities interact with schooling. Using Chilean data sets, the results indi...
Childhood obesity is not only worrisome for its effects on children’s health but also for its effects on general well-being. This article analyzes the impact of bodyweight on life satisfaction and three potential mechanisms that may explain this relationship among school-aged children. In addition to the traditional ordinary least squares method, w...
This article analyzes the effect of bodyweight on socioemotional skills for children aged two to 12 years in Chile. Using an instrumental variable approach and a representative survey, we show that both BMI and obesity are causality related to children’s socioemotional development, even after assuming that our instrument is imperfect. Although we d...
This study quantifies the spillover effects of PM2.5 emissions on emergency room visits due to respiratory diseases in Chile. We use several spatial panel methods and models controlling also for the potential endogeneity of air quality. Our estimates show that the spillover effects are downward biased when this endogeneity is ignored. Furthermore,...
This article uses a discrete choice experiment carried out in the city of Antofagasta, Chile, to understand consumer's preferences for urban drinking water. To disentangle the perceptions and valuation of drinking water attributes, we propose a willingness-to-pay (WTP)-space model where the WTPs for water attributes are distributed as a mixture-of-...
This article estimates the individuals’ non-pecuniary benefit of engaging in pro– environmental behaviors (PEB) using a large sample from Ecuador. As a novelty, we estimate a model that allows incorporating both unobserved heterogeneity in preferences and controlling for the potential endogeneity of income through instrumental variables. Although b...
This study analyzes the labor market dimension of a worldwide social concern: the growing level of obesity. Using detailed, individual information of Chilean workers, the study finds a strong evidence of a wage penalty for women as body size increases, whereas men seemingly enjoy a wage premium for being overweight. Several hypotheses are tested fo...
This study analyzes the effect of spatial competition on public schools’ efficiency in Chile, an extreme case of market-oriented reforms in the educational sector. To address this issue, we use a measure of competition that captures three major characteristics of market competition in a spatial context: the number of competitors, based on distance...
Eliciting willingness to pay (WTP) for city amenities is not an easy task due to both endogeneity problems and unobserved heterogeneity in individuals' preferences. We address these two issues by using a city choice experiment to infer monetary values (WTP) associated with relocation attributes of a hypothetical job offer. Adopting a latent class l...
This study focus on models with spatially varying coefficients using simulations. As shown by Sarrias (2019), this modeling strategy is intended to complement the existing approaches by using variables at micro level and by adding flexibility and realism to the potential domain of the coefficient on the geographical space. Spatial heterogeneity is...
In this article we use the life satisfaction approach to assess the non-pecuniary costs of Mental health impacts after the 2010 Chile earthquake. By linking both subjective well-being valuation literature with studies that describe psychological impacts after natural disasters, we are able to quantify how big a compensation should be to leave indiv...
It is widely recognized by scholars that amenities affect the individual well-being. Ample empirical evidence has been provided for developed countries, although this analysis for developing economies is scant. The aim of this paper is to study the association between locational specific characteristics and self-reported measures of subjective well...
Long‐distance commuting (LDC) is a growing phenomenon in specialized countries in extractive industries such as Chile. There has also been a growing concern about the potential impacts on the health of long‐distance commuters. This paper formalizes the relationship between commuting distance and self‐assessed health status and shows the monetary va...
This paper investigates the hypothesis that the spatial concentration of economic activity might impair national growth, using the experiences of Brazil and Chile. In the first stage we have used regional data to estimate country-specific models in which regional growth is conditioned by a set of controls, considering population density as a measur...
Using subjective well-being estimations, this study analyzes whether compensating variations vary across space using a cross-sectional data set from Chile. To achieve this goal, it describes and compares two econometric ways of modelling unobserved spatial heterogeneity. Both approaches allow compensating variations to vary across spatial units by...
This folder contains the R scripts to replicate the Monte Carlo exercise carried out in "Individual-specific point and interval conditional estimates of latent class logit parameters".
The "Readme" file explains each script.
Autonomous vehicles use sensing and communication technologies to navigate safely and efficiently with little or no input from the driver. These driverless technologies will create an unprecedented revolution in how people move, and policymakers will need appropriate tools to plan for and analyze the large impacts of novel navigation systems. In th...
Autonomous vehicles use sensing and communication technologies to navigate safely and efficiently with little or no input from the driver. These driverless technologies will create an unprecedented revolution in how people move, and policymakers will need appropriate tools to plan for and analyze the large impacts of novel navigation systems. In th...
Continuous and discrete unobserved heterogeneity have been widely used in modeling discrete choice models. This paper shows how these modeling strategies can be used to capture and model spatial heterogeneity or locally varying coefficients for different latent structures. We also outline the main advantages and disadvantages of both models. Then,...
Rchoice is a package in R for estimating models with individual heterogeneity for both cross-sectional and panel (longitudinal) data. In particular, the package allows binary, ordinal and count response, as well as continuous and discrete covariates. Individual heterogeneity is modeled by allowing the parameter associated with each observed variabl...
Implementation of the maximum simulated likelihood method in R for the estimation of multinomial logit models with random parameters. The models supported by gmnl are the multinomial or conditional logit (MNL), the mixed multinomial logit (MIXL), the scale heterogeneity multinomial logit (S-MNL), the generalized multinomial logit (G-MNL), the laten...
Using detailed survey data on management practices, this paper uses recent advances in unconditional quartile analysis to study the changes in the within country distribution of management quality associated with country convergence to the managerial frontier. It then decomposes the contribution of potential explanatory factors to the distributiona...
The article describes functional specialization of the Chilean municipalities ("comunas"), controlling for their industrial mix between 1992 and 2002 with information from the Population and Housing Censuses. The analysis of global and local spatial auto-correlation of indices of functional specialization shows the existence of a pattern of spatial...