Bank Credit Shocks and Employment Growth: An Empirical Framework for the Case of Brazil

2020 ◽  
Vol 54 (1) ◽  
Author(s):  
Ana Abras ◽  
Bruno de Paula Rocha
2020 ◽  
Vol 9 (4) ◽  
pp. 427-442
Author(s):  
Abdulrahman Taresh A. ◽  
Dyah Wulan Sari ◽  
Rudi Purwono

Income inequality in Indonesia remains a controversial issue in the context of Indonesian macroeconomic condition that is evolving in output and government spending, and its increase in consumption accompanied by inflation and slowing of bank credit. The purpose of this study is to investigate the relationship among macroeconomics, monetary and income inequality through a broad theoretical model by adopting a panel Structural Vector Auto-regression (SVAR) model to get more sample size during the period 2005-2018 at 33 provinces in Indonesia. The main results indicate that the variables of output and inflation have positive relationships. The relationship between output and income inequality is also significantly correlated, and those results supported by Kuznets's theory reveal that the relationship between economic growth and income inequality is positive in the short term. The relationship between inflation and income inequality is positive as well in Indonesia. This result is by the fact that low-income families are considered more vulnerable to inflation. The impact of non-food consumption shocks increases income inequality, while Indonesian government spending and bank credit shocks reduce income inequality. Then the response of savings and bank credit to the shock of income inequality is positive.


2017 ◽  
pp. 111-140 ◽  
Author(s):  
R. Kapeliushnikov

The paper provides a critical analysis of the idea of technological unemployment. The overview of the existing literature on the employment effects of technological change shows that on the micro-level there exists strong and positive relationship between innovations and employment growth in firms; on the sectoral level this correlation becomes ambiguous; on the macro-level the impact of new technologies seems to be positive or neutral. This implies that fears of explosive growth of technological unemployment in the foreseeable future are exaggerated. Our analysis further suggests that new technologies affect mostly the structure of employment rather than its level. Additionally we argue that automation and digitalisation would change mostly task sets within particular occupations rather than distribution of workers by occupations.


2013 ◽  
Vol 10 (1) ◽  
pp. 27-48 ◽  
Author(s):  
Giovani Antonio Silva Brito ◽  
Eliseu Martins

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