Measuring persistence in nominal exchange rate: Implications for Angola’s entrepreneurship and business development

The purpose of this paper is to measure the degree of persistence in the Kwanza to US Dollar exchange rate. First, our results indicate that nominal exchange rates both in levels and in first differences are I(0), thus implying that the relative purchasing power parity hypothesis for Angola is not rejected. Secondly, we find a significant degree of persistence in both the formal and informal nominal exchange rates. Thirdly, the degree of persistence in the official market is significantly lower than in the formal market, while In first differences, persistence in the official exchange rate is substantially higher than in the informal exchange rate. Lastly, we could not find strong evidence that persistence has changed in levels throughout the sample period. By contrast, there is significant evidence that persistence in first differences has consistently increased after September 2003. These results have important policy implications as the National Bank of Angola is preparing to change its monetary and exchange-rate policy focus to a more inflation-targeting regime and to a more a flexible (or low-managed) exchange-rate regime.

Application of Mixture Models to Survival Data

Survival models are being widely applied to the engineering field to model time-to-event data once censored data is here a common issue. Using parametric models or not, for the case of heterogeneous data, they may not always represent a good fit. The present study relays on critical pumps survival data where traditional parametric regression might be improved in order to obtain better approaches. Considering censored data and using an empiric method to split the data into two subgroups to give the possibility to fit separated models to our censored data, we’ve mixture two distinct distributions according a mixture-models approach. We have concluded that it is a good method to fit data that does not fit to a usual parametric distribution and achieve reliable parameters. A constant cumulative hazard rate policy was used as well to check optimum inspection times using the obtained model from the mixture-model, which could be a plus when comparing with the actual maintenance policies to check whether changes should be introduced or not.