不動產從業人員所得之決定－次序機率迴歸模型之應用

Determining of Real Estate Broker Income

10.6375/JHS.200308.0109

李春長(Chun-Chang Lee)

不動產仲介市場 ； 次序機率迴歸模型 ； 人力資本 ； 所得 ； Real Estate Brokerage Market ； Ordered Probit Regression Model ； Human Capital ； ncome

住宅學報

12卷2期（2003 / 08 / 01）

109 - 122

繁體中文

本文擬探討國內不動產產業從業人員所得之決定因素。本文之目的除了解影響國內不動產產業從業人員所得之因素外，更進一步探討不同不動產產業從業人員其所得之差異。其次，從業人員所學背景之不同，對其從事不動產相關工作之所得是否有所差異。此外，探討取得證照者其所得是否較高。就實證方面而言，由於所得為依變數，且多以次序尺度（ordinal scales）來衡量，故以往文獻上在估計所得時，均將各組或各層次（levels）所得取組中點為代表來處理，即將次序尺度的資料經由組中點的處理後視為連續性資料，然後再取對數做估計。如此，在迴歸分析中，將次序依變數轉為連續變數的做法將產生誤導之結果。（Winship and Mare，1984）本文為謹慎故，將採用次序機率迴歸模型（ordered probit regression model）來分析。實證結果得知，十個自變數中有七個自變數之Wald卡方值達到5%之顯著水準，其為性別、年齡、年齡平方、教育年數、服務年數、服務年數平方及仲介業七個變數；代銷業變數則達到10%顯著水準，二個自變數未達到之顯著水準，其分別為所學背景和有否證照二個自變數。

This paper uses human capital model to examines the factors that influence the income of real estate brokers. The model is estimated using a 2003 survey of Taiwan real estate brokerage market. We can attain the positive effect on broker income that the variables include male variable; age variable; more education; work experience; alternative real estate industry.

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