Optimal Transport Statistics for Economics and Related Topics

This  volume emphasizes techniques of optimal transport statistics, but it  also describes and uses other econometric techniques, ranging from more  traditional statistical techniques to more innovative ones such as  quantiles (in particular, multidimensional quantiles), maximum entropy  approach, and machine learning. Applications range from general analysis  of GDP growth, stock market, and consumer prices to analysis of  specific sectors of economics (construction, credit and banking, energy,  health, labor, textile, tourism, international trade) to specific  issues affecting economy such as bankruptcy, effect of Covid-19  pandemic, effect of pollution, effect of gender, cryptocurrencies, and  the existence of shadow economy. Papers presented in this volume also  cover data processing techniques, with economic and financial  application being the unifying theme. This volume shows what has been  achieved, but even more important are remaining open problems. We hope  that this volume will: ˆ inspire practitioners to learn how to apply  state-of-the-art techniques, especially techniques of optimal transport  statistics, to economic and financial problems, and ˆ inspire  researchers to further improve the existing techniques and to come up  with new techniques for studying economic and financial phenomena.