Spatial Lock-in: Do Falling House Prices Constrain Residential Mobility?

نویسنده

  • SEWIN CHAN
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

House Lock and Structural Unemployment

A recent decline in geographic mobility in the United States may have been caused in part by falling house prices, through the “lock in” effects of financial constraints faced by households whose housing debt exceeds the market value of their home. I analyze the relationship between such “house lock” and the elevated levels and persistence of unemployment during the recent recession and its aft...

متن کامل

FEDERAL RESERVE BANK OF SAN FRANCISCO WORKING PAPER SERIES House Lock and Structural Unemployment

The views in this paper are solely the responsibility of the authors and should not be interpreted as reflecting the views of the Federal Reserve Bank of San Francisco or the Board of Governors of the Federal Reserve System. ABSTRACT A recent decline in internal migration in the United States may have been caused in part by falling house prices, through the " lock in " effects of financial cons...

متن کامل

Wildfire Risk and the Residential Housing Market: A Spatial Hedonic Analysis

The goal of this paper is to analyze the effect of wildfire hazard risk on residential housing prices in Colorado Springs, Colorado. How does the risk of wildfire impact transaction values, and do buyers and sellers in the residential housing market accurately capitalize their perception of low probability events such as wildfires into the price of a house? Working within the hedonic property m...

متن کامل

A Spatially Extended Model for Residential Segregation

In this paper we analyze urban spatial segregation phenomenon in terms of the income distribution over a population, and inflationary parameter weighting the evolution of housing prices. For this, we develop a discrete, spatially extended model based in a multi–agent approach. In our model, the mobility of socioeconomic agents is driven only by the housing prices. Agents exchange location in or...

متن کامل

Spatial Latent Gaussian Models: Application to House Prices Data in Tehran City

Latent Gaussian models are flexible models that are applied in several statistical applications. When posterior marginals or full conditional distributions in hierarchical Bayesian inference from these models are not available in closed form, Markov chain Monte Carlo methods are implemented. The component dependence of the latent field usually causes increase in computational time and divergenc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998