Welcome to my personal blog where I post mostly notes about programming in R or Stata. Enjoy!

  • A Simple Spatial Equilibrium Model with Tidycensus
    The Spatial Equilibrium concept is well known to urban economists. In a nutshell, it states that in equilibrium there are no rents to be gained by changing locations. Ed Glaeser begins Chapter 2 of his book: “Cities, Agglomeration, and Spatial Equilibrium” with the well known Alonso-Muth-Mills model. In this post, I want to summarize it briefly following Ed Glaeser presentation and reproduce his 2.1. and 2.2. figures. This is the perfect excuse to play around with the “tidycensus” package.

  • Mapping Racial Segregation in Chicago
    This spring break I was reading a couple of papers about segregation in the US (Cutler and Galeser 1997 and Cutler et al 1999). A paragraph on Cutler et al (1999) caught my attention: “Chicago was the most segregated city in 1890, the fourth most segregated city in 1940, the most segregated MSA in 1970, and the fourth most segregated MSA in 1990”. As I was reading this I kept thinking on mapping out Chicago with more recent census data.

  • An Introduction to Spatial Econometrics in R
    This tutorial was prepared for the Ninth Annual Midwest Graduate Student Summit on Applied Economics, Regional, and Urban Studies (AERUS) on April 23rd-24th, 2016 at the University of Illinois at Urbana Champaign.

  • Mean and Quantile Regression using Mosek
    Many of the problems we encounter in Econometrics can be formulated as a linear or a quadratic problem. In this post, I want to approach two traditional problems: Quantile Regression and Ordinary Least Squares as convex problems and how to implement them in R using the package RMosek.

Sarmiento Barbieri

University of Illinois


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