The underlying employment trend (UET) is investigated in Jordanian economy over the period 1989-2004 using structural time series model (STSM). This approach allows to modelling the trend in its stochastic form introduced by Harvey (1989). The results show that a stochastic trend is preferred to deterministic trend. In addition, the inclusion or exclusion of the conventional deterministic trend leads to overestimated output elasticity. Furthermore, the UET is found to be non-linear, down downward sloping.
The study aimed to identify the most salient and critical factors influencing the Stock yield and causing this sharp fluctuation, and clarifying which factors are more influential than others on the Stock yield in the Amman Stock Market -Jordan. The study population consisted of all listed companies in the Amman Stock Market. The sample of the study is random stratified and includes 30% of the original population. The study sample numbered 60 companies of the companies listed on the Amman Stock Market. The main findings are the positive relationship between inflation rates, interest rate, number of employees and capital shares with income shares. The results also showed no relationship between the deficit and surplus of balance of payments and stock yield, as well as no relationship between the level of gross domestic product (GDP) and the stock yield in Amman Stock Market in Jordan.
This study aims to investigate the impact of different facets of corruption on domestic investment (DI) in the Middle East and North Africa (MENA) economies. The main purpose of this empirical research to assess the influence of bribes, abuse of public office and nepotism on domestic investment in 14 MENA countries over the period 2005–2022. The results of 2SLS model indicate that corruption could affect negatively on domestic investments through two channels, namely: illegal payments (bribes) and the abuse of public office for private gain. In this case, the regulators and decision makers have to formulate new strategies that aimed particularly to fight these kinds of corruption to increase domestic investment.
This study aims at investigating the cross-country variation in gender-gap in economic activity. A balanced panel data for 72 countries with complete data for the period 2000-2016 were extracted from the World Bank indicators. The statistical diagnostic tests supported the use of the fixed effect model. The series was stationary at level and not co-integrated. Moreover, the null hypothesis of the appropriateness of random effect model was rejected. The estimated results assure the importance of demand side factors in dampen the gender gap in economic activity as expected such as GDP growth, gender gaps in employment, in being self-employed and unemployment, urbanization and trade openness. Surprisingly, the supply side factors such the cross-country variation in gender gap in education and fertility rates were no more important determinants in explaining the gender gap in economic activity. This study recommends governments to improve the demand-side factors that would encourage more female employment and reduce the gender gap in economic activity later.
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