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A Simple Spatial Equilibrium Model with Tidycensus

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...

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Mapping Racial Segregation in Chicago

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...

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An Introduction to Spatial Econometrics in R

February 6, 2017
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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.

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Mean and Quantile Regression using Mosek

January 19, 2017
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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.

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Mean and Quantile Regression using Mosek

January 19, 2016
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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.

Read more »

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