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A large amount of literature examines the effects of globalisation on the size of the welfare state. Unlike previous papers, this article studies globalisation’s effects on the quality of social welfare. For this purpose, we use the annual panel dataset of 169 countries from 1970 to 2018. The findings indicate that a higher level of globalisation leads to a higher quality of the welfare state. This evidence is valid when the countries are divided according to their income levels, such as low-income, middle-income, and high-income economies. In addition, these results remain robust when various sensitivity analyses are implemented, such as using different indicators of globalisation, utilising different estimation techniques, including various controls, and excluding outliers.

In this paper, we test the validity of the employment hysteresis hypothesis. For this purpose, we use daily employment data at the national and state levels in the United States from January 8, 2020, to May 30, 2020. We apply the modified version of the Kapetanios-Shin unit root test, along with finite-sample critical values. We find that the employment hysteresis hypothesis is valid in the United States during the COVID-19 era. The validity of the findings does not change when data at the national and state levels are used. The evidence is also valid when the employment levels for all firms and small firms are considered. The results are also robust to employment levels for workers at different income levels and employment in five different sectors.

In this paper, we test the validity of the employment hysteresis hypothesis. For this purpose, we use daily employment data at the national and state levels in the United States from January 8, 2020, to May 30, 2020. We apply the modified version of the Kapetanios-Shin unit root test, along with finite-sample critical values. We find that the employment hysteresis hypothesis is valid in the United States during the COVID-19 era. The validity of the findings does not change when data at the national and state levels are used. The evidence is also valid when the employment levels for all firms and small firms are considered. The results are also robust to employment levels for workers at different income levels and employment in five different sectors.

This paper examined the relationship between the equity indices in the BRIC economies and oil prices for the period from September 22,1997 to November 29,2013. We focused on various sub-periods to obtain statistically robust and economically solid relationships and to address cross-sectional dependence among stock market indices and oil prices in panel data techniques. For this purpose, we developed a test framework that made use, in a sequential order, of the second generation panel unit root test, the panel cointegration technique accounting for multiple structural breaks, the panel-Granger causality test, and the panel dynamic ordinary least square estimations to analyze the possible interactions. The results showed that there is a long-run positive relationship between the stock market indices and the oil prices only after fall 2008 in the panel framework. We analyzed the related period for each country in detail, and found that oil prices have positive effects on the equity indices in Russia, China, and India. Our findings also indicated that there is a causality relationship that runs from the oil prices to the stock markets' indices in China and India, and there is a pair-wise causality between the equity indices and the oil prices in the Russian economy.