We augment the existing literature using the Log-Periodic Power Law Singular (LPPLS) structures in the log-price dynamics to diagnose financial bubbles by providing three main innovations. First, we introduce the quantile regression to the LPPLS detection problem. This allows us to disentangle...

Purpose - This paper assesses the determinants of corruption-control with freedom dynamics (economic, political, press and trade), government quality and a plethora of socio-economic factors in 46 African countries using updated data. Design/methodology/approach - A quantile regression approach...

Are there different determinants in the fight against corruption across developing countries? Why are some countries more effective at battling corruption than others? To investigate these concerns we examine the determinants of corruption-control throughout the conditional distribution of the...

In this study, we investigate the role of development assistance in reducing a hypothetically negative impact of terrorism on economic growth, using a panel of 78 developing nations with data for the period 1984-2008. The empirical evidence is based on interactive Quantile regressions. Domestic,...

The purpose of this study is to investigate how increasing information sharing bureaus affect financial access. For this reason, we have employed contemporary and non-contemporary interactive Quantile Regressions in 53 African countries for the period 2004-2011. Information sharing bureaus are...

Building on previous literature, we assess when foreign aid is effective in fighting terrorism using quantile regressions on a panel of 78 developing countries for the period 1984-2008. Bilteral, multilateral and total aid indicators are used whereas terrorism includes: domestic, transnational,...

Accurate estimates of land values on a property-by-property basis are an important requirement for the effective implementation of land-based property taxes. We compare hedonic, residual, and matching techniques for mass appraisal of residential land values, using data from Maricopa County,...