有關住宅市場文獻的重點大都集中在全國住宅市場和總體經濟變數之關係，或者是特定都會區住宅市場和個體經濟變數之關係。一些研究也指出影響房價的因素，對不同區域住宅的影響是有所差異的。影響房價之因素除了本身之結構、區位、環境之外，尚受到經濟環境和政府政策影響消費大眾對房屋之需求和供給，進而影響房屋的價格。在影響住宅價格之主要變數，有些為全國總體變數，有些為區域個體變數，區域個體變數的變化會因為地方政府政策的不同而有所差異，進而影響該區域的房地產供需活動。故本研究將從影響台灣住宅價格之主要總體經濟變數和區域個體變數，以向量自我迴歸模式或誤差修正模式探討這些變數之變化對區域住宅價格短期和長期之衝擊影響。 From a macroeconomic point of view, the housing sector is an important aspect of the Taiwan economy. The focus of most of the previous work has centered on either national housing market macroeconomic relationships or microeconomic housing conditions for specific urban areas. Several studies have identified specific regional differences in housing tastes. These findings led us to question the relevance of national housing models which may be biased toward emphasizing macroeconomic factors. In our view, greater emphasis should be paced on a broader array of economic variables measured at the regional level. In the absence of better knowledge about the relations, the recent application of the nonstructural model - vector autoregression (VAR) method pioneered by Sims (1980, 1982) is a possible alternative. The primary focus of this article is unique in that it analyzes the determinants of housinig prices using a combination of macroeconomic and microeconomic factors, and empirically the strength of short-run and long-run effect of macroeconomic and microeconomic variables on housing prices. Both nationally and regionally, using the VAR(vector autoregression) approach.
