This study uses monthly housing prices data of the four cities, Seoul, Hong Kong, Tokyo, and New York, from January 1993 to April 2016. We consider Tokyo and Hong Kong residential property prices, obtained from the International Monetary Fund (IMF) Global Housing Watch; housing purchase price composite indices for Seoul, from the Korea Appraisal Board; and the S&P/Case-Shiller home price index for New York which, from the Federal Reserve Economic Data of Federal Reserve Bank of St. Louis
The relationship between the housing market, stock market, and macroeconomic variables has long been...
It is widely accepted that land supply plays an important role in restricting housing supply and adj...
For buyers, investors and urban policy, understanding drivers of community-level house prices across...
This study uses monthly housing prices data of the four cities, Seoul, Hong Kong, Tokyo, and New Yor...
1. CONTENTS (1) RESEARCH OBJECTIVES The purposes of this study is to understand interregional causal...
The Korean government���s housing policies have been dualized: the policy of checking the fictitious...
This article aimed to study the causal relationship between the housing prices and the macroeconomy ...
The traditional multiple regression analysis is widely acknowledged as a reliable technique and acce...
Abrams, BurtonWang, SiyanThis study investigates the determinants of housing prices in Chinese metro...
We examine the time-series relationship between housing prices in eight South-ern California metropo...
The aim of this paper is to explore effects of macroeconomic variables on house prices and also, the...
Purpose: The purpose of this study is to investigate the Granger causal link between the stock marke...
AbstractBased on spatial econometric model, the article selects the panel data of eight cities aroun...
The soaring property prices in many Chinese cities have recently attracted increasing attention. Thi...
Spatial autocorrelation is commonly found in the Hedonic Pricing model for real estate prices, but l...
The relationship between the housing market, stock market, and macroeconomic variables has long been...
It is widely accepted that land supply plays an important role in restricting housing supply and adj...
For buyers, investors and urban policy, understanding drivers of community-level house prices across...
This study uses monthly housing prices data of the four cities, Seoul, Hong Kong, Tokyo, and New Yor...
1. CONTENTS (1) RESEARCH OBJECTIVES The purposes of this study is to understand interregional causal...
The Korean government���s housing policies have been dualized: the policy of checking the fictitious...
This article aimed to study the causal relationship between the housing prices and the macroeconomy ...
The traditional multiple regression analysis is widely acknowledged as a reliable technique and acce...
Abrams, BurtonWang, SiyanThis study investigates the determinants of housing prices in Chinese metro...
We examine the time-series relationship between housing prices in eight South-ern California metropo...
The aim of this paper is to explore effects of macroeconomic variables on house prices and also, the...
Purpose: The purpose of this study is to investigate the Granger causal link between the stock marke...
AbstractBased on spatial econometric model, the article selects the panel data of eight cities aroun...
The soaring property prices in many Chinese cities have recently attracted increasing attention. Thi...
Spatial autocorrelation is commonly found in the Hedonic Pricing model for real estate prices, but l...
The relationship between the housing market, stock market, and macroeconomic variables has long been...
It is widely accepted that land supply plays an important role in restricting housing supply and adj...
For buyers, investors and urban policy, understanding drivers of community-level house prices across...