Nigar Hashimzade - Böcker

This authoritative and comprehensive dictionary contains clear, concise definitions of approximately 3,500 key economic terms. Covering all aspects of economics including economic theory and policy, applied microeconomics and macroeconomics, labour economics, public economics and public finance, monetary economics, and environmental economics, this is the essential reference work in this area. The new edition of this dictionary has been updated to include entries on China, India, and South America, to reflect the increase in prominence of these regions in the global economy. There is strong coverage of international trade and many entries on economic organizations and institutions from around the world. Fully revised to keep up to date with this fast-moving field, this new edition expands the coverage to include entries such as austerity measures, General Anti Abuse Rule, propensity score matching, and shadow bank.Entries are supplemented by entry-level web links, which are listed and regularly updated on a companion website, giving the reader the opportunity to explore further the areas covered in the dictionary. Useful appendices include a list of institutional acronyms and their affiliated websites, a list of Nobel prize-winners in economics, the Greek alphabet, and a list of relevant websites.As ideal for browsing as it is useful for quick reference, this dictionary remains an essential guide for students and teachers of economics, business, and finance, as well as for professional economists and anyone who has to deal with economic data.

An inherently interdisciplinary subject, tax avoidance has attracted growing interest of scholars in many fields. No longer limited to law and accounting, research increasingly has been conducted from other perspectives, such as anthropology, business ethics, corporate social responsibility, and economic psychology. This was –recently stimulated by politicians, mass media, and the public focussing on tax avoidance after the global financial and economic crisis put a squeeze on private and public finances. New challenges were posed by changing definitions and controversies in the interpretation of tax avoidance concept, as well as a host of new rules and policies that need to be fully understood. This collection provides a comprehensive guide to students and academics on the subjects of tax avoidance from an interdisciplinary perspective, exploring the areas of accounting, law, economics, psychology, and sociology. It covers global as well as regional issues, presents a discussion of the definition, legality, morality, and psychology of tax avoidance, and provides guidance on measurement of economic effect of tax avoidance activities. With a truly international selection of authors from the UK, North America, Africa, Asia, Australasia, Middle East, and continental Europe, with well-known experts and rising stars of the field, the contributors cover the entire terrain of this important topic.The Routledge Companion to Tax Avoidance Research is a ground-breaking attempt to bring together scholarly research in tax avoidance, offering rigorous academic analysis of an important and hotly debated issue in a structured and balanced way.

‘Big data’ is now readily available to economic historians, thanks to the digitisation of primary sources, collaborative research linking different data sets, and the publication of databases on the internet. Key economic indicators, such as the consumer price index, can be tracked over long periods, and qualitative information, such as land use, can be converted to a quantitative form. In order to fully exploit these innovations it is necessary to use sophisticated statistical techniques to reveal the patterns hidden in datasets, and this book shows how this can be done.A distinguished group of economic historians have teamed up with younger researchers to pilot the application of new techniques to ‘big data’. Topics addressed in this volume include prices and the standard of living, money supply, credit markets, land values and land use, transport, technological innovation, and business networks. The research spans the medieval, early modern and modern periods. Research methods include simultaneous equation systems, stochastic trends and discrete choice modelling.This book is essential reading for doctoral and post-doctoral researchers in business, economic and social history. The case studies will also appeal to historical geographers and applied econometricians.

This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalized method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macroeconomics and econometrics.Contributors: B.H. Baltagi, L. Bauwens, O. Boldea, J. Breitung, C. Cantore, M.J. Chambers, I. Choi, J. Davidson, V.J. Gabriel, R. Giacomini, P. Gomme, J. Gonzalo, P.A. Guerrón-Quintana, N. Haldrup, A.R. Hall, N. Hashimzade, M. Karanasos, L. Kilian, S. Kim, D. Korobilis, R. Kruse, P. Levine, D. Lkhagvasuren, A. Luati, H. Lütkepohl, J. Madeira, T.C. Mills, J.M. Nason, K. Patterson, J. Pearlman, J.-Y. Pitarakis, D.S.G. Pollock, T. Proietti, B. Rossi, F.J. Ruge-Murcia, T. Teräsvirta, M.A. Thornton, R.T. Varneskov, B. Yang, N. Zeng

Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications. International contributors expertly investigate the development of advanced methods driven by the accumulation of numerous data sets at the level of individuals, households and firms, and by an increase in the capacity and speed of computers. The Handbook highlights that, while the more traditional empirical methods were largely limited to establishing correlations, these new methods aim to uncover causality. Examination of these advances shows new possibilities for applied research in microeconomics in the estimation of sophisticated structural models and the evaluation of policy interventions. This insightful Handbook is a must-read for graduate students and instructors in applied microeconomics as well as researchers in government departments and academia pursuing modern advanced methods of policy evaluation and data analysis.

‘Big data’ is now readily available to economic historians, thanks to the digitisation of primary sources, collaborative research linking different data sets, and the publication of databases on the internet. Key economic indicators, such as the consumer price index, can be tracked over long periods, and qualitative information, such as land use, can be converted to a quantitative form. In order to fully exploit these innovations it is necessary to use sophisticated statistical techniques to reveal the patterns hidden in datasets, and this book shows how this can be done.A distinguished group of economic historians have teamed up with younger researchers to pilot the application of new techniques to ‘big data’. Topics addressed in this volume include prices and the standard of living, money supply, credit markets, land values and land use, transport, technological innovation, and business networks. The research spans the medieval, early modern and modern periods. Research methods include simultaneous equation systems, stochastic trends and discrete choice modelling.This book is essential reading for doctoral and post-doctoral researchers in business, economic and social history. The case studies will also appeal to historical geographers and applied econometricians.

An inherently interdisciplinary subject, tax avoidance has attracted growing interest of scholars in many fields. No longer limited to law and accounting, research increasingly has been conducted from other perspectives, such as anthropology, business ethics, corporate social responsibility, and economic psychology. This was –recently stimulated by politicians, mass media, and the public focussing on tax avoidance after the global financial and economic crisis put a squeeze on private and public finances. New challenges were posed by changing definitions and controversies in the interpretation of tax avoidance concept, as well as a host of new rules and policies that need to be fully understood. This collection provides a comprehensive guide to students and academics on the subjects of tax avoidance from an interdisciplinary perspective, exploring the areas of accounting, law, economics, psychology, and sociology. It covers global as well as regional issues, presents a discussion of the definition, legality, morality, and psychology of tax avoidance, and provides guidance on measurement of economic effect of tax avoidance activities. With a truly international selection of authors from the UK, North America, Africa, Asia, Australasia, Middle East, and continental Europe, with well-known experts and rising stars of the field, the contributors cover the entire terrain of this important topic.The Routledge Companion to Tax Avoidance Research is a ground-breaking attempt to bring together scholarly research in tax avoidance, offering rigorous academic analysis of an important and hotly debated issue in a structured and balanced way.

This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalized method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macroeconomics and econometrics.Contributors: B.H. Baltagi, L. Bauwens, O. Boldea, J. Breitung, C. Cantore, M.J. Chambers, I. Choi, J. Davidson, V.J. Gabriel, R. Giacomini, P. Gomme, J. Gonzalo, P.A. Guerrón-Quintana, N. Haldrup, A.R. Hall, N. Hashimzade, M. Karanasos, L. Kilian, S. Kim, D. Korobilis, R. Kruse, P. Levine, D. Lkhagvasuren, A. Luati, H. Lütkepohl, J. Madeira, T.C. Mills, J.M. Nason, K. Patterson, J. Pearlman, J.-Y. Pitarakis, D.S.G. Pollock, T. Proietti, B. Rossi, F.J. Ruge-Murcia, T. Teräsvirta, M.A. Thornton, R.T. Varneskov, B. Yang, N. Zeng