台湾工资-菲利普斯曲线线性回归与曲线-线性回归之比较

Mei-Yu Lee
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引用次数: 2

摘要

本研究搜集2009年9月至2013年2月之台湾总体经济月资料,以线性回归模型与曲线线性化回归模型估计实质薪资型菲利浦曲线,并发现台湾实质薪资型菲利浦曲线的误差修正项远高于欧美国家,显示台湾薪资成长率不仅受到通货膨胀率与失业率影响,还明显地受到劳动生产力影响。其次,台湾实质薪资型菲利浦曲线以曲线线性化回归模型估计更为精准且具有较高解释力,并可观察到台湾的实质薪资成长率并无成长迹象,此结果对决策者而言需注意政策拟定时慎重考量使用之数据。最后,台湾的实质薪资型菲利浦曲线不可以OECD国家之估计方程式标准进行估计,而需考量台湾的经济结构特殊性,如高贸易依存度、小国特质或中国崛起因素所影响。 This study focuses on the estimation of Taiwan Wage-Phillips curve depending on Blanchard and Katz (1999) and uses the macroeconomic data from National Statistics database of R.O.C. and Taiwan Economic Journal database during September, 2009 to February, 2013. The study can compare the estimated values of Wage-Phillips curve of US and EU but compare the linear and curve-linear regressive models. The main findings are (1) Taiwan’s error correction term comes in a significant and more right-signed coefficient than US and EU; (2) curve-linear regressive model can accurately explain the wage-Phillips curve of Taiwan such as the decreasing real wage rate and increasing nominal wage rate of 3% by Taiwan government; and (3) curve-linear regressive model can forecast that the real wage rate has less increasing stretch. Finally, this study does not add the export-oriented variables in linear and curve-linear model, there might be that the raising China is an important factor to affect Taiwan’s wage rate.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Estimation of Taiwan Wage-Phillips Curve by Comparing Linear and Curve-Linear Regressive Model
本研究蒐集2009年9月至2013年2月之台灣總體經濟月資料,以線性迴歸模型與曲線線性化迴歸模型估計實質薪資型菲利浦曲線,並發現台灣實質薪資型菲利浦曲線的誤差修正項遠高於歐美國家,顯示台灣薪資成長率不僅受到通貨膨脹率與失業率影響,還明顯地受到勞動生產力影響。其次,台灣實質薪資型菲利浦曲線以曲線線性化迴歸模型估計更為精準且具有較高解釋力,並可觀察到台灣的實質薪資成長率並無成長跡象,此結果對決策者而言需注意政策擬定時慎重考量使用之數據。最後,台灣的實質薪資型菲利浦曲線不可以OECD國家之估計方程式標準進行估計,而需考量台灣的經濟結構特殊性,如高貿易依存度、小國特質或中國崛起因素所影響。 This study focuses on the estimation of Taiwan Wage-Phillips curve depending on Blanchard and Katz (1999) and uses the macroeconomic data from National Statistics database of R.O.C. and Taiwan Economic Journal database during September, 2009 to February, 2013. The study can compare the estimated values of Wage-Phillips curve of US and EU but compare the linear and curve-linear regressive models. The main findings are (1) Taiwan’s error correction term comes in a significant and more right-signed coefficient than US and EU; (2) curve-linear regressive model can accurately explain the wage-Phillips curve of Taiwan such as the decreasing real wage rate and increasing nominal wage rate of 3% by Taiwan government; and (3) curve-linear regressive model can forecast that the real wage rate has less increasing stretch. Finally, this study does not add the export-oriented variables in linear and curve-linear model, there might be that the raising China is an important factor to affect Taiwan’s wage rate.
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