Microfinance Institutions (MFIs) reach a large number of poor people who are not served by formal financial institutions and have been a prime element in the economic growth of countries like Ethiopia. To operate successfully MFIs have to make sure that the loan disbursed has to be repaid to...

The purpose of this study was to examine factors that determine micro- and small-scale enterprises' financing preference in line with pecking order theory and access to credit in Benishangul-Gumuz Regional State of Ethiopia. The study used primary data collected using cross-sectional survey...

In parametric regression problems, estimation of the parameter of interest is typically achieved via the solution of a set of unbiased estimating equations. We are interested in problems where in addition to this parameter, the estimating equations consist of an unknown nuisance function which...

Estimating equations have found wide popularity recently in parametric problems, yielding consistent estimators with asymptotically valid inferences obtained via the sandwich formula. Motivated by a problem in nutritional epidemiology, we use estimating equations to derive nonparametric...

It is well-known that nonresponse affects the results of surveys and can even causebias due to selectivities if it cannot be regarded as missing at random. In contrast tohousehold surveys, response behaviour in business surveys has been examined rarely inthe literature. This paper is one of the...

When parents in Senegal decide upon primary school enrollment of their children, they might consider future returns to education. These future benefits in turn heavily depend on a child's prospects to attend secondary school. If private returns to primary schooling are very low and secondary...

In this paper we show that the recent notion of regression depth can be used as a data-analytic tool to measure the amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to compute the overlap in data sets which are commonly...

This study examines the effectiveness of going-concern prediction models by comparing models that incorporate corporate governance variables with models based solely on financial ratios. The aim was to compare the predictive power of going-concern models that combine corporate governance...

This study analyzes the recent transformations in the consumption profile of audiovisual media services, transformations mainly marked by the intensive use of the internet. Such a phenomenon has reconfigured the strategies adopted by providers of traditional linear audiovisual media services, in...

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...