Considering the World Gross Domestic Product WGDP as a representation of all the production by humankind, is it possible to define a smallest common quantitative measure, an economic quantum at an individual level, whose aggregate will lead to the word GDP ?
The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field.
The focus of this book is on providing clear word descriptions and step-by-step Excel instructions, rather than including lots of x's and y's everywhere.
It's estimated that 80 percent of an organization's data contains location attributes, but many don't understand how to unlock the potential of this data for their organizations to make better decisions.
Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research.
The 30th Volume of Advances in Econometrics is in honor of the two individuals whose hard work has helped ensure thirty successful years of the series, Thomas Fomby and R.
The 'Advances in Econometrics' series aims to publish annual original scholarly econometrics papers on designated topics with the intention of expanding the use of developed and emerging econometric techniques by disseminating ideas on the theory and practice of econometrics throughout the empirical economic, business and social science literature.
This volume of Advances in Econometrics contains articles that examine key topics in the modeling and estimation of dynamic stochastic general equilibrium (DSGE) models.
Highly Effective Marketing Analytics infuses analytics into marketing to help improve marketing performance and raise analytics IQ for companies that have not yet had much success with marketing analytics.
Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter.
The convergence of blockchain and Internet of things (IoT) powered by data and artificial intelligence (AI) is on the agenda of several big companies and some of them have already started using its implementations, initiatives, and solutions in various projects.
This book undertakes a theoretical and econometric analysis of intense economic growth in selected European countries during the end of the twentieth century and the beginning of the twenty first.
This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables.
Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge.
This book presents the effects of integrating information and communication technologies (ICT) and economic processes in macroeconomic dynamics, finance, marketing, industrial policies, and in government economic strategy.
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.
This book explores the US economy from 1960 to 2010 using a more Keynsian, Cowles model approach, which the author argues has substantial advantages over the vector autoregression (VAR) and dynamic stochastic general equilibrium (DSGE) models used almost exclusively today.
Based on economic knowledge and logical reasoning, this book proposes a solution to economic recessions and offers a route for societal change to end capitalism.
