This paper investigates the relationship between electricity consumption and economic growth by using Autoregressive Distributed Lag (ARDL) bounds testing approach and vector error-correction models (VECM) in Cameroon, Cote D'Ivoire, Congo, Ethiopia, Gabon, Ghana, Guatemala, Kenya, Senegal, Togo and Zambia for period 1970-2010. The ARDL results show that there is cointegration relation between ...

In this paper, we propose new tests for threshold cointegration in the autoregressive distributed lag (ADL) model. The indicators in the threshold model are based on either a nonstationary or stationary threshold variable. The cointegrating vector in this paper is not pre-specified. We adopt a supremum Wald type test to account for the so-called Davies problem. The asymptotic null distributions...

The paper introduces a financial statement method to assess the future potential of a firm. First, the last strategic steady phase is identified. Second, growth rate for total expenditure is estimated (growth process). Third, the revenue generating potential of total expenditure is evaluated by a distributed lag function (revenue-generating process). This function is used to recalculate expense...

The current paper demonstrates a dichotomy of the growth response to changes in the barter terms of trade, employing as case studies the two African countries, Botswana and Nigeria.Using distributed-lag analysis, the paper finds that the effect of terms of trade on output is positive and negative for the two countries, respectively. I interpret these results as supportive of the ‘resource curse...

In the light of previous literature fertility determines different economic, social and program inputs variables. The main object of this study to investigate the impact of sector specific (health and education) foreign aid on fertility in case of Pakistan. For empirical investigation Auto Regressive Distributed Lag Model (ARDL) is used over the period of 1973-2012. The results of the study sho...

Time-series cross-section (TSCS) data are prevalent in political science, yet many distinct challenges presented by TSCS remain underaddressed. We focus on how dependence both space and time complicates estimating either spatial or temporal dependence, dynamics, effects. Little is known about modeling one of cross-sectional well while neglecting the other affects results analysis. demonstrate a...