Labor Market Structure in LDCs: Time Series Evidence on Competing Views

Author(s):  
William F. Maloney

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Suparna Wijaya

The development of the digital economy leads to the loss of several jobs and the emergence of new jobs. It also allows labor shifting between the new jobs and the old jobs. This phenomenon could raise the potential for unabsorbed labor which will cause unemployment problems. The COVID-19 pandemic, which requires large-scale social restrictions (PSBB), has certainly affected the transportation sector. This study aims to examine the influence of the digital economy, investment, the COVID-19 pandemic, and the Job Creation Law on the labor market structure of the transportation sector in Indonesia. The research method used is quantitative. The data used are the time series from January 2018 to November 2020. The results of this study indicate that the digital economy has no effect on the structure of the labor market in the transportation sector in Indonesia. Meanwhile, investment, the COVID-19 pandemic, and the Job Creation Law, respectively, have a significant effect on the structure of the labor market in the transportation sector in Indonesia. The impact of investment and the COVID-19 pandemic on the labor market structure of the transportation sector in Indonesia is negative. Meanwhile, the effect of the Job Creation Law on the labor market structure of the transportation sector in Indonesia is positive. Simultaneously, the digital economy, investment, the COVID-19 pandemic, and the Job Creation Law affect the labor market structure of the transportation sector in Indonesia.









1987 ◽  
Vol 14 (4) ◽  
pp. 558-590 ◽  
Author(s):  
ANGELA M. DALE


Author(s):  
Andréa M. Maechler ◽  
David W. Roland-Hoist


1999 ◽  
Vol 218 (5-6) ◽  
Author(s):  
Michael Neugart

SummaryEvidence on the role of chaotic and nonlinear dynamics on labor markets is mixed. It is unclear whether nonlinear relationships are responsible for the dynamic patterns observed in Europe during the past decades. In this paper, we test German labor market data for the null hypothesis of an i.i.d. process with the BDS test. As several processes including chaotic, nonlinear deterministic, and stochastic linear and nonlinear systems are nested within the alternative hypothesis, time series are whitened with linear and nonlinear filters. Lyapunov exponents and correlation dimensions are applied to the residuals of the filtered time series to test for chaotic dynamics. There seems to be a nonlinear deterministic core to German labor market dynamics. Chaos does not occur.



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