The Missing

The Missing “Missing Middle”

T he notion that the distribution of firm size in poor countries is characterized by a bimodal distribution with a “missing middle” is a widely accepted fact in development economics (for example, see Krueger 2013). The idea of the missing middle is that there are a large number of small firms, some large firms, but very few medium-sized firms. The purported fact about the missing middle is cit...

A New Algorithm to Impute the Missing Values in the Multivariate Case

There are several methods to make inferences about the parameters of the sampling distribution when we encounter the missing values and the censored data. In this paper, through the order statistics and the projection theorem, a novel algorithm is proposed to impute the missing values in the multivariate case. Then, the performance of this method is investigated through the simulation studies. ...

Small and Medium Enterprises Financing in Bangladesh: The Missing Middle

This paper aims to comprehend the intrinsic limitations of the market players in the financial system and how these create a situation of `missing middle` for small and medium industries (SME) financing in Bangladesh. A clear dualism prevails in the manufacturing industry of this country. While the SMEs maintains the biggest share in establishments and employment creation, large enterprises (LE...

Missing Pituitary Stalk: A Key to the Diagnosis

The Missing Link: Data Analysis with Missing Information

How do you handle missing data? Deletion of those subjects frequently leads to biased outcomes. Mean imputation assumes that non-responders are no different than responders, and can bias variances toward zero. Last observation carried forward methods, while still often used, can cause bias and even induce an apparent treatment effect. Multiple imputation is an improved method to deal with these...