This paper examines the causality between fraud and bank performance in Nigeria over the period 2000-2016 for quarterly financial data using Johansen's Multivariate Cointegration Model and Vector Autoregressive (VAR) Granger Causality analysis. The results show a long-run relationship between...

This paper proposes to analyze the effects of access to credit on the performance of SMEs in Congo. To this end, we used the theoretical model developed by Stiglitz and Weiss (1981). From an econometric point of view, we estimated a multiple linear regression model using the ordinary least...

The aim of this article is to investigate the causal relationship between remittances and poverty reduction for 14 emerging and developing countries over the period 1980 - 2012. We proposed a cointegration analysis, using the method of non-stationary dynamic panel data. Our estimation results...

One of the most significant factors which influences the level of banking sector liquidity is Currency in Circulation. Although the central bank is in charge of distribution of the currency it can't assess the demand for the currency, as that demand is generated by the customers of commercial...

Economic theories explain the economic growth affected by accumulation of production factors and increase in productivity and efficiency. Traditional growth theories focus on the first factor where in developing countries, and especially due to the low input of capital, serious problems arise in...

There are a number of econometrics tools to deal with the different types of situations in which cointegration can appear: I(1), I(2), seasonal, polyno- mial, etc. There are also different kinds of Vector Error Correction models related to these situations. The authors propose a unified...

Randomized control trials are often considered the gold standard to establish causality. However, in many policy-relevant situations, these trials are not possible. Instrumental variables affect the outcome only via a specific treatment; as such, they allow for the estimation of a causal effect....

Good policy requires reliable scientific knowledge, but there are many obstacles. Most econometric estimates lack adequate statistical power; some estimates cannot be replicated; publication selection bias (the selective reporting of results) is common; and there is wide variation in the evidence...

We analyse a sample of funds and other securities each assigned a total rating score by an unknown expert entity. The scores are based on a number of risk and complexity factors, each assigned a category (factor score) of Low, Medium, or High by the expert entity. A principal component analysis...

Many products and services can be described as mixtures of ingredients whose proportions sum to one. Specialized models have been developed for linking the mixture proportions to outcome variables, such as preference, quality and liking. In many scenarios, only the mixture proportions matter for...