Nominal and real wages in the Republic of Serbia 2001-2020

J. Radović-Stojanović, Jovana Đerić, Ratko Ljubojević
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Abstract

The aim of this paper is to present, decompose and analyze time series of average gross and net nominal and real wages in the Republic of Serbia. The paper presents monthly time series of wages for the period from January 2001 to December 2020. Time time series of wages are seasonally adjusted using the software JDemetra +, ver. 2.1.0 and the X13-ARIMA program. Real gross and net wages were obtained by dividing the series of nominal average gross and net wages by the retail price index (until January 2009) and then by the consumer price index (since January 2009). It has been noticed that there are three periods in the movement of time series of wages. In the period before the Global Financial and Economic Crisis (2000-2008), nominal and real wages recorded a strong upward trend. In the post-crisis period, from 2009 to 2017, there was a slowdown in wage growth. In that period, nominal wages were rising, and as a consequence of inflation, real wages stagnated. In the third period, from 2018-2020, due to wage growth in the public sector and low and stable inflation rates, both nominal and real wages have been growing. The beginning of each of these three periods coincides with changes in the methodology of calculating the average wage, which affected the appearance and variability of time series of wages, and especially the seasonal component in the series.
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2001-2020年塞尔维亚共和国名义工资和实际工资
本文的目的是提出,分解和分析塞尔维亚共和国平均毛额和净名义和实际工资的时间序列。本文展示了2001年1月至2020年12月期间的每月工资时间序列。使用JDemetra +软件对工资时间序列进行季节性调整。2.1.0和X13-ARIMA程序。实际毛工资和净工资是通过将一系列名义平均毛工资和净工资除以零售价格指数(截至2009年1月),然后除以消费者价格指数(自2009年1月以来)得到的。我们已经注意到,工资的时间序列的运动有三个时期。在全球金融和经济危机之前(2000-2008年),名义和实际工资出现了强劲的上升趋势。在后危机时期,从2009年到2017年,工资增长有所放缓。在那个时期,名义工资在上涨,而由于通货膨胀,实际工资停滞不前。在第三个时期,从2018年到2020年,由于公共部门的工资增长和低而稳定的通货膨胀率,名义和实际工资都在增长。这三个时期的每一个时期的开始都与计算平均工资方法的变化相吻合,这影响了工资时间序列的外观和可变性,特别是该序列中的季节性成分。
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来源期刊
Ekonomika Vilniaus Universitetas
Ekonomika Vilniaus Universitetas Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.40
自引率
0.00%
发文量
15
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