Applied Microeconomics

Social Comparison and Young Adult Mental Health with Endogenous Network Formation
We examine how social comparison within endogenously formed peer networks affects mental health among young adults. Using over 2 …
Last updated on Jul 11, 2026 Networks, Applied Microeconomics
Heterogeneous Peer Effects with Endogenous Network Formation
This paper introduces a new econometric framework for modeling social interactions with heterogeneous peer responses, addressing …
Last updated on Jul 12, 2026 Econometrics, Networks, Bayesian, Applied Microeconomics
arXiv
Marijuana and Tobacco Consumption in Colombia: A Bayesian Zero-Inflated Ordered Probit Under Submission
This paper develops a Bayesian implementation of the zero-inflated ordered probit model introduced in Harris and Zhao (2007), providing …
Last updated on Jul 12, 2026 Econometrics, Bayesian, Limited Dependent Variables, Applied Microeconomics
PDF
Unpacking Neighbourhood Change: Income Estimation, Mobility, and Segregation in Medellín
Medellín has undergone rapid urban transformation and is often cited as a model of inclusive urbanism. However, less is known about how …
Last updated on Jul 11, 2026 Urban Economics, Applied Microeconomics
Estimating Demand Systems with Unobserved Heterogeneity and Censoring: Evidence from Illicit Drug Markets in Colombia Under Submission
The response of illicit drug consumers to policy changes like legalization is mediated by demand behavior. Since individual drug use is …
Last updated on Jul 12, 2026 Econometrics, Applied Microeconomics, Bayesian, Limited Dependent Variables, Instrumental Variables
arXiv
Nonlinear Panel Data Methods for Multivariate Fractional Outcomes
This paper expands the applied researcher’s toolkit for dealing with nonlinear panel data models with unobserved heterogeneity …
Last updated on Jul 12, 2026 Econometrics, Applied Microeconomics, Bayesian, Limited Dependent Variables, Instrumental Variables
Welfare Gains of the Poor: An Endogenous Bayesian Approach with Spatial Random Effects
We introduce a Bayesian instrumental variable procedure with spatial random effects that handles endogeneity, and spatial dependence …
Cite Source