Economies of scale in data aggregation is a widely accepted concept. It refers to improved prediction accuracy when the number of observations on variables in a dataset increases. By contrast, economies of scope in data is more ambiguous. The classic economic interpretation refers to cost...

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...

Health care improvement efforts often focus on changing the behavior of individuals while the interdependencies among individuals are overlooked. The application of complex adaptive systems approach to studying healthcare delivery changes the focus of improvement efforts from the individual to...

India's Economy is principally dominated by Agriculture with more than 70% population dependent onagriculture. It accounts for about 14% of Gross Domestic Products of the country. India being predominantly agricultural, agripreneurs play very vital and important role in the agricultural value...

The objectives of the study are (1) To know the variation in capital formation in Indian agriculture, after the establishment of WTO; (2) To know the farm subsidy and productivity variation of Indian farm sector in accordance with WTO and (3) To judge the issues and concerns for Indian...

We investigate the causal effect of local crime on betting shop openings. Crime in an area can generate demand for gambling services as criminals and gamblers may share similar preferences: risk loving and instant gratification. To isolate the effect, we develop an empirical model to study the...

We investigate the roles played by unexpected demand shocks, besides productivity, on firms' capital investment and exit decisions. We propose a practical approach to recover unexpected firm-level demand shocks using inventory data. The recognition of demand shocks and inventory also improves...

The aim of the international conference ESPERA 2016 was to present and evaluate the economic scientific research portfolio, to argue and substantiate Romanian development strategies – including European and global best practices. The plenary session and the parallel sections were centered on...

Economies of scale in data aggregation is a widely accepted concept. It refers to improved prediction accuracy when the number of observations on variables in a dataset increases. By contrast, economies of scope in data is more ambiguous. The classic economic interpretation refers to cost...

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...