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- Yannis M. Ioannides, Linda Datcher Loury
- 2004
JOB INFORMATION NETWORKS, NEIGHBORHOOD EFFECTS AND
- Yannis M. Ioannides, Henry G. Overman
- 2000
We use data for metro areas in the United States, from the US Census for 1900 – 1990, to test the validity of Zipf’s Law for cities. Previous investigations are restricted to regressions of log size… (More)
We test implications of economic geography models for location, size and growth of cities with US Census data for 1900 – 1990. Our tests involve non-parametric estimations of stochastic kernels for… (More)
This paper contributes to the growing literature that identifies and measures the impact of social context on individual economic behavior. We develop a model of housing demand with neighborhood… (More)
In this paper, we estimate a model of housing demand with neighborhood effects. We exploit special features of the National sample of the American Housing Survey and properties of housing markets… (More)
We establish empirically using three different definitions of US cities that the upper tail obeys a Pareto law and not a lognormal distribution. We emphasize estimation of a switching point between… (More)
The paper adapts to richer social structures the Brock-Durlauf model of interactive discrete choice, where individuals’ decisions are influenced by the decisions of others. Social structure is… (More)
This paper reports an empirical investigation of housing maintenance decisions which allows for social interactions within small residential neighborhoods with data from the American Housing Survey… (More)
The paper compares the dynamics of housing prices in fifteen OECD countries. The data reveal a remarkable degree of similarity across countries and suggest rich dynamics for the first-differenced… (More)