MODELLING AND FORECASTING INFLATION RATES IN GHANA: AN APPLICATION OF SARIMA MODELS

Ghana faces a macroeconomic problem of inflation for a long period of time. The problem in somehow slows the economic growth in this country. As we all know, inflation is one of the major economic challenges facing most countries in the world especially those in African including Ghana. Therefore, forecasting inflation rates in Ghana becomes very important for its government to design economic strategies or effective monetary policies to combat any unexpected high inflation in this country. This paper studies seasonal autoregressive integrated moving average model to forecast inflation rates in Ghana. Using monthly inflation data from July 1991 to December 2009, we find that ARIMA (1,1,1)(0,0,1)12 can represent the data behavior of inflation rate in Ghana well. Based on the selected model, we forecast seven (7) months inflation rates of Ghana outside the sample period (i.e. from January 2010 to July 2010). The observed inflation rate from January to April which was published by Ghana Statistical Service Department fall within the 95% confidence interval obtained from the designed model. The forecasted results show a decreasing pattern and a turning point of Ghana inflation in the month of July.

Are central bank independence reforms necessary for achieving low and stable inflation?

Using data on the occurence of central bank independence (CBI) reforms in 131 countries during 1980-2005, we test whether they were important in reducing inflation and maintaining price stability. CBI reforms are found to have reduced inflation on average 3.31% when countries with historically high inflation rates are included. But countries with lower inflation have reduced it without institutional reforms granting central banks more independence, undermining the theoretical time-inconsistency case for CBI. There is furthermore no evidence that CBI reforms have helped reduce inflation variability.

Effects of central bank independence reforms on inflation in different parts of the world

The purpose of this study is to analyze the effect of CBI-reforms on inflation in different parts of the world from a theoretical and empirical perspective. Compared to previous studies, this study focuses on whether CBI-reforms have different effects on reducing inflation in different parts of the world. The study is based on a 132 country data-set from 1980 to 2005 compiled by Daunfeldt et al. (2008). The result indicates that the reduction in inflation due to the CBI-reforms varies between 2.2 and 12.32 percentage points in Asia, Europe, South America and Oceania, supporting the claim that implementing CBI-reforms can be successful in reducing inflation in most of the parts of the world.

Likelihood estimate of treatment effects under selection bias

We consider methods for estimating causal effects of treatment in the situation where the individuals in the treatment and the control group are self selected, i.e., the selection mechanism is not randomized. In this case, simple comparison of treated and control outcomes will not generally yield valid estimates of casual effects. The propensity score method is frequently used for the evaluation of treatment effect. However, this method is based onsome strong assumptions, which are not directly testable. In this paper, we present an alternative modeling approachto draw causal inference by using share random-effect model and the computational algorithm to draw likelihood based inference with such a model. With small numerical studies and a real data analysis, we show that our approach gives not only more efficient estimates but it is also less sensitive to model misspecifications, which we consider, than the existing methods.