“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix-Reference-Cited by-同舟云学术

“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix

Published:2010-11-19 Issue:3 Volume:48 Page:763-782
ISSN:0570-1864
Container-title:The Annals of Regional Science
language:en
Short-container-title:Ann Reg Sci

Author:

Gupta Rangan,Miller Stephen M.

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s00168-010-0416-2.pdf

Reference39 articles.

1. Bikker JA (1993) Interdependence between the Netherlands and Germany: forecasting with VAR model. de Economist 141: 43–69

2. Brookings Institution (2008) Mountain Megas: America’s Newest metropolitan places and a federal partnership to help them prosper. Metropolitan Policy Program. http://www.brookings.edu/~/media/Files/rc/reports/2008/0720_intermountain_west_sarzynski/IMW_full_report.pdf

3. Clapp JM, Tirtiroglu D (1994) Positive feedback trading and diffusion of asset price changes: evidence from housing transactions. J Econ Behav Organ 24: 337–355

4. Dickey DA, Fuller WA (1979) Distribution for the estimates for autoregressive time series with a unit root. J Am Stat Assoc 74: 427–431

5. Doan TA, Litterman RB, Sims CA (1984) Forecasting and conditional projections using realistic prior distributions. Econom Rev 3(1): 1–100

Cited by 63 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inter-city housing spillovers and monetary policy in China;Cities;2024-09

2. THE DIFFERENTIAL EFFECTS OF CREDIT POLICY ON REAL ESTATE PRICES FROM THE PERSPECTIVE OF CLUB CONVERGENCE;The Singapore Economic Review;2024-04-30

3. Bad news travels fast: Network analysis of the Chinese housing market connectivity;China Economic Review;2024-04

4. Forecasting House Prices through Credit Conditions: A Bayesian Approach;Computational Economics;2024-03-04

5. Estimating U.S. housing price network connectedness: Evidence from dynamic Elastic Net, Lasso, and ridge vector autoregressive models;International Review of Economics & Finance;2024-01