Auto-regressive Distributed Lag Model for long-run US household debt determinants

Besides human death economic catastrophe, which has already been started around the world due to COVID19, a question arises how to tackle the devastating nature of this pandemic. The study is basically done based on secondary sources. Time period of the study was up to April 6, 2020. The study tried to get a conceptual view for time demanding collaborative effort among the global arena so that this pandemic cannot make long-lasting devastating impact on global economy. The study also did a small opinion poll survey by email/cell phone, land phone, and personally asking by maintaining social distance among 108 respondents considering three segments of the income strata of the people in Bangladesh. Based on the respondents replies, Figure 2 was drawn, which is shown in Appendix.

The market efficiency hypothesis has become an important concept for all investors looking to own internationally diversified portfolios, which coincides with an increase in investment flows between all countries, both developed and undeveloped. This study was aimed at investigating the efficiency of a group of Arab stock markets located in the Middle East and North Africa (MENA) region according to the Random Walk Hypotheses (RWH) at weak form. The study covered the markets of Jordan, Egypt, Saudi Arabia, UAE, Bahrain, and Oman.
The empirical results of all tests used in this study rejected the RWH at a weak form for all markets through all tests applied – Unit root test, Variance Ratio Test, and Run Test.
The result of this study contradicts the results of many studies conducted on developed and emerging markets. This can be a good indication of the ineffectiveness of the reforms that have been adopted by responsible bodies on these markets.
Based on this result, all efforts made to expand and deepen these markets should be intensified by improving liquidity, transparency, enhancing investment culture in these countries; supporting legislative and regulatory reforms to attract investment, and developing the financial sector in these markets as a whole.

Acknowledgment
This paper is supported by the Deanship of Scientific Research and Graduate Studies at Philadelphia University in Jordan.

This paper examined the growth and unemployment linkage from a gender-classification perspective using the Nigerian economic environment. The autoregressive distributed lag model in its baseline form, the bound test, and error correction representation were used as the estimation approach. Annualized time series spanning 1981 to 2017 were used for the variables of interest. Generally, it was found that female unemployment has a positive significant influence on GDP growth rate in Nigeria, while youth unemployment negatively and significantly influences GDP. It was also found that male unemployment does not significantly affect the GDP growth rate in Nigeria. In the long run, the main variables influencing GDP growth rate within the context of this study include unemployment rate, ratio of labor force size to the national population, female unemployment rate, and youth unemployment rate. The error correction representation and the bound test estimates confirm that growth adjusts to the dynamics of the studied unemployment variables. The study advocates for an increase in government capital expenditure, as this is theoretically and practically known to create new jobs. This spending should go into real and core productive sectors that would create upstream and downstream jobs opportunities.