Person: Nathanson, Charles Gordon
Loading...
Email Address
AA Acceptance Date
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
Nathanson
First Name
Charles Gordon
Name
Nathanson, Charles Gordon
2 results
Search Results
Now showing 1 - 2 of 2
Publication Mean Reversion in Housing Markets(2014-06-06) Nathanson, Charles Gordon; Glaeser, Edward Ludwig; Campbell, John; Laibson, David; Shleifer, AndreiBooms in house prices are usually followed by busts. This pattern is called "mean reversion." Mean reversion in housing markets has historically coincided with economic recessions across the world. Chapter 1 establishes mean reversion in U.S. data, and attempts to explain it using the dynamics of wages in cities. Chapter 2 takes a different approach. It models mean reversion resulting from speculation and uncertainty. This model explains why strong mean reversion in prices occurs in cities where it is easy to build houses, a phenomenon that Chapter 1 cannot explain. Chapter 3 takes the spirit of Chapter 2 and applies it to the optimal design of the income tax.Publication Calculating Evolutionary Dynamics in Structured Populations(Public Library of Science, 2009) Nathanson, Charles Gordon; Tarnita, Corina; Nowak, MartinEvolution is shaping the world around us. At the core of every evolutionary process is a population of reproducing individuals. The outcome of an evolutionary process depends on population structure. Here we provide a general formula for calculating evolutionary dynamics in a wide class of structured populations. This class includes the recently introduced “games in phenotype space” and “evolutionary set theory.” There can be local interactions for determining the relative fitness of individuals, but we require global updating, which means all individuals compete uniformly for reproduction. We study the competition of two strategies in the context of an evolutionary game and determine which strategy is favored in the limit of weak selection. We derive an intuitive formula for the structure coefficient, σ, and provide a method for efficient numerical calculation.