摘要(英) |
In this paper we use an individual-level quasi-longitudinal database to study the impact of changes in legal minimum wages on labor market outcomes. We use difference-in-difference (DID) model to estimate the impact of minimum wage laws on wage growth in Taiwan. This study differs from the literature in that the control group for the DID model is determined by quantile regression. We analyze the minimum wage rate effect on wage growth for both gender and emphasize in particular on urban-rural disparity, company size, educational levels, age groups, and different industrial groups.
Compared to the control group, male low-income group is found to have a larger negative impact on their wage growth than the female low-wage groups. Although there is no serious negative effect on the wage growth rate for female low-wage groups, female high-wage groups may be affected by their employment opportunities after the national minimum wage (NMW) adjustment. Therefore, part of the effect of the NMW adjustment may be reflected in the reduction of employment opportunities for the female control group. Moreover, there is no difference between the impact on urban and rural areas, and among companies of different sizes; however, all of them got negative impacts by the rising NMW. For some years of NMW adjustment, highly educated low-income groups are of relatively larger negatively being shocked by the NMW adjustment on the salary growth than their less educated counterparts. Since about 63% of the low-income groups with higher education are people younger than 30 years old, it means that, obviously, even young people with highly educated may still influenced by the adjustment of NMW negatively. However, there is no difference in the wage growth for workers at various age groups, although all of them are negatively affected by the rising NMW. Overall the continuous adjustment of the NMW is significantly unfavorable for the wage growth rate of the low-income group, no matter in service or manufacturing sectors. After the financial crisis, the negative impact on service sector’s wage growth rate is more serious than that of the manufacturing sector. To sum up, we believe that the continuous increase in the NMW had a significant negative impact on Taiwan′s wage growth rate, and the negative effect has been increasing year by year. |
參考文獻 |
Addison, J.T., Blackburn, M.L. and Cotti, C.D. (2013). Minimum wage increases in a recessionary environment. Labour Economics, 23, 30-39.
Alaniz, E., Gindling, T.H. and Terrell, K. (2011). The impact of minimum wages on wages, work and poverty in Nicaragua. Labour Economics, 18, S45-S59.
Allegretto, S., Dube A. and Reich, M. (2011). Do minimum wages really reduce teen employment? Accounting for heterogeneity and selectivity in state panel data. Industrial Relations, 50(2), 205-240.
Arellano, M. and Bonhomme, S. (2016). Sample selection in quantile regression: A survey. Handbook of Quantile Regression.
Bauducco, S. and Janiak, A. (2018). The macroeconomic consequences of raising the minimum wage: Capital accumulation, employment and the wage distribution. European Economic Review, 101, 57–76.
Bhorat, H., Kanbur, R. and Mayet, N. (2012). Minimum wage violation in South Africa. International Labour Review, 151(3), 277-287
─(2013). The impact of sectoral minimum wage laws on employment, wages, and hours of work in South Africa. IZA Journal of Labor & Development, 2, 1-27.
Brown, C., Gilroy, C. and Kohen A. (1982). The effect of the minimum wage on employment and unemployment. Journal of Economic Literature, 20(2), 487-528
Buchinsky, M. (2001). Quantile regression with sample selection: Estimating women’s return to education in the U.S. Empirical Economics, 26, 87-113
Chuang, Y. (2006). The effect of minimum wage on youth employment and unemployment Taiwan. Hitotsubashi Journal of Economics, 47, 155-167.
D?n?cic?, D. (2015). Youth (re)employment probability in Romania. Procedia Economics and Finance, 22, 148–153.
Danziger, L. (2009). Noncompliance and the effects of the minimum wage on hours and welfare in competitive labor markets. Labour Economics, 16, 625-630.
D’Costa, S. and Overman, H. (2014). The urban wage growth premium: Sorting or learning? Regional Science and Urban Economics, 48, 168–179.
Dickens, D., Riley, R. and Wilkinson, D. (2015). A re-examination of the impact of the UK national minimum wage on employment. Economica, 82, 841–864
Gindling, T.H. and Terrell, K. (2009). Minimum wages, wages and employment in various sectors in Honduras. Labour Economics, 16, 291-303.
Gorry, A. (2013). Minimum wages and youth unemployment. European Economic Review, 64, 57–75.
Hyslop, D. and Stillman, S. (2007). Youth minimum wage reform and the labour market in New Zealand. Labour Economics, 14, 201–230.
Majchrowska, A. and Strawinski, P. (2018). Impact of minimum wage increase on gender wage gap: Case of Poland. Economic Modelling, 70, 174–185.
Neumark, D., Schweitzer, M. and Wascher, W. (2002). Minimum wage effect throughout the wage distribution. The Journal of Human Resources, 39(2), 425-450.
Stewart, M. (2004). The employment effects of the national minimum wage. The Economic Journal, 114, C110-C116.
─(2004). The impact of the introduction of the UK minimum wage on the employment probabilities of low wage workers. Journal of the European Economic Association, 2, 67–97.
Zavodny, M. (2000). The effect of the minimum wage on employment and hours. Labour Economics, 7, 729–750
林季平與廖高禮(2011), 臺灣失業勞工的遷徙及再就業:初級、回流、及連續遷徙分析, 人口學刊, 42期, 1-41。
柯志哲與張珮青(2014), 區隔的勞動市場?:探討臺灣典型工作者與非典型工作者的工作流動與薪資差異, 臺灣社會學刊, 55期, 127-177。
莊奕琦與賴偉文(2011), 不同世代下教育報酬與能力差異, 經濟論文叢刊, 39期, 81-114。 |