Nigar Hashimzade – författare

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

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.

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.

‘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.