OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in predicting poverty using alternative objective...

Poverty prediction models are used by economists to address missing data issues in a variety of contexts such as poverty profiling, targeting with proxy-means tests, cross-survey imputations such as poverty mapping, or vulnerability analyses. Based on the models used by this literature, this...

Soybean (Glycine max) is as an oilseed crop with inadvertent importance. It is a good source of protein both for the human beings and livestock including pieces. The production and demand for soybean have been many traits increased in India during the last decade resolving in its winder adoption...

Paddy is an important food crop in India and second most in the world. About 35% of net cropped area under paddy and about 50% of the farmers cultivate paddy every year. Farmer's decision making on acreage under paddy depends on the future prices to be realized during harvest period. Hence this...

Conventionally, game theory predicts that the joint mixed strategy of players in a noncooperative game will satisfy some equilibrium concept. Relative probabilities of the joint strategies satisfying the concept are unspecified, and all strategies not satisfying it are assigned probability zero....

The multi-section transport conveyor model based on the neural network for predicting the output flow parameters is considered. The expediency of using sequential and batch modes of training of a neural network in a model of a multi-section transport conveyor has been investigated. The quality...

Stock price prediction is a challenging task, but machine learning methods have recently been used successfully for this purpose. In this paper, we extract over 270 hand-crafted features (factors) inspired by technical and quantitative analysis and tested their validity on short-term mid-price...

Growing attention has been paid to the science of marketing over the last few years, given their influence in business science and marketing in particular. This work implements a bibliometric analysis of the predictive marketing method, often known as "predictive marketing.". In this sense, we...

The article treats a new methodological approach to the company cash flows target-oriented forecasting based on its financial position analysis. The approach is featured to be universal and presumes application of the following techniques developed by the author: financial ratio values...

The paper considers conceptual, methodical and practical aspects of the target financial analysis at the micro level, i.e., the company level, as a new instrument of anticrisis financial management for a company to overcome its financial difficulties and enhance its financial position within a...