This volume is mainly concerned with methods of estimating income elasticity. It is connected with economic development that can be achieved by reducing income inequality, a highly relevant subject in today’s world for a wide range of policy areas.
"Economic research on the efficient allocation of resources has a long history. Increasingly, attention has turned to inequality in the distribution of personal resources and outcomes, and whether individuals or children are locked in their respective places in this distribution or whether mobility is possible. Research focuses not only on measuring inequality and mobility, but on understanding its historical, economic, and social determinants, and how policies might affect these distributions. This volume explores the latest developments in our understanding of income and wealth distribution and mobility. The first section addresses observed patterns of income inequality and shifts in compensation and fluidity that drive or reinforce income inequality. The next focuses on wealth inequality, including the difficulties of defining and measuring wealth. The third section presents new evidence on the intergenerational transmission of inequality and the mechanisms that sustain these patterns. A fourth set of chapters studies the mitigation of inequality, including variations in intervention strategies across time and geography. Finally, issues related to using national accounting data in comparison with survey and microdata are examined. Lack of data, particularly wealth data at the individual or household level in most countries, presents a challenge. Momentum has been building to link multiple sources of survey, administrative and other data in order to mitigate measurement problems in single sources and to provide more comprehensive data on income and wealth"--
Technological change is not only a determinant of growth but is also a pivotal factor in international competition and the modernization of an economy. In one of the most in-depth and detailed studies of its kind, George Korres analyzes the macroeconomic and the microeconomic factors influencing the economics of innovation and the economic relations between technology, innovation, knowledge and productivity. In particular, this book examines both the theoretical framework and the applications for empirical results. This second edition contributes updated figures and estimations for technical change from EU member states and features new subjects, including growth models, productivity models, production function models and non-parametric models. In one of the most in-depth and detailed studies of its kind, this book captures all the existing contemporary techniques in the theoretical fields as well as the empirical applications of the models.
"This report provides a comprehensive analytical framework and related tools that private-sector freight transportation modes and public-sector transportation interests can use to estimate private and public benefits to evaluate potential freight infrastructure investments. Using interviews with transportation planners and an extensive review of prior research and a review of current methods used to assess freight benefits or prioritize improvement projects, the research developed a freight evaluation framework with three main functions: (1) to enhance public planning and decision-making processes regarding freight; (2) to supplement benefit/cost assessment with distributional impact measures; and (3) to advance public-private cooperation. The framework is capable of handling projects that span all of the different modes and able to assess benefits from a variety of project types, including those that improve freight operations, as well as generate more capacity through infrastructure expansion. The research, by developing a practical set of formats for information collection, will support public-private agency discussions by helping all parties understand the wide range of perspectives and interests in potential freight investments."--Pub. desc.
Technological change is not only a determinant of growth but is also a pivotal factor in international competition and the modernization of an economy. In one of the most in-depth and detailed studies of its kind, George Korres analyzes the macroeconomic and the microeconomic factors influencing the economics of innovation and the economic relations between technology, innovation, knowledge and productivity. In particular, this book examines both the theoretical framework and the applications for empirical results. This second edition contributes updated figures and estimations for technical change from EU member states and features new subjects, including growth models, productivity models, production function models and non-parametric models. In one of the most in-depth and detailed studies of its kind, this book captures all the existing contemporary techniques in the theoretical fields as well as the empirical applications of the models.
The Asian Development Bank (ADB) has been continuously undertaking measures to enhance the effectiveness of its operations. To improve projects both at the preparation and implementation stages, ADB issued the Guidelines for Economic Analysis of Projects in 1997 as a means to enhancing project quality at entry. The conduct of proper economic analysis helps ensure the efficient use of development funds and public resources and thereby increase aid effectiveness. This practical guide is a supplement to the Guidelines for the Economic Analysis of Projects. It provides an overview of recent methodological developments in cost-benefit analysis as well as suggested improvements in the economic analysis of projects in selected sectors through case studies. These case studies illustrate the application of suggested methodologies, taking into account sector-specific needs, as well as difficulties faced by practitioners in terms of data and time constraints during project processing. It also aims to contribute to ADB’s capacity building initiatives as this will be the main reference material for conduct of economic analysis.
This second edition of the OECD Economic Globalisation Indicators presents a broad range of indicators on trade, foreign direct investment, the economic activity of multinational firms, and the internationalisation of technology.
Handbook of Macroeconomics Volumes 2A and 2B surveys major advances in macroeconomic scholarship since the publication of Volume 1 (1999), carefully distinguishing between empirical, theoretical, methodological, and policy issues, including fiscal, monetary, and regulatory policies to deal with crises, unemployment, and economic growth. As this volume shows, macroeconomics has undergone a profound change since the publication of the last volume, due in no small part to the questions thrust into the spotlight by the worldwide financial crisis of 2008. With contributions from the world's leading macroeconomists, its reevaluation of macroeconomic scholarship and assessment of its future constitute an investment worth making. - Serves a double role as a textbook for macroeconomics courses and as a gateway for students to the latest research - Acts as a one-of-a-kind resource as no major collections of macroeconomic essays have been published in the last decade - Builds upon Volume 1 by using its section headings to illustrate just how far macroeconomic thought has evolved
Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) have been in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world of normality. This makes the GMD of critical importance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variance with the GMD and its variants. In this way, the text showcases how almost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizing Gini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematic method and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model. With these benefits in mind the text uses the covariance-based approach, though applications to other approaches are mentioned as well.