Laszlo Matyas – författare
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Econometrics with Machine Learning
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Econometrics with Machine Learning
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Econometrics of Multi-dimensional Panels
Theory and Applications
1 401 kr
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1 416 kr
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This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. In light of the big data revolution and the emergence of higher dimensional panel data sets, it provides new results to synthesize existing knowledge on the field. The first, theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions.
This second extended and revised edition provides an update of all existent chapters to reflect on new developments in the area as well as several new chapters on topics such as machine learning, nonparametric models,networks, and multi-dimensional panels in health economics. The book serves as a standard reference work, a textbook for graduate students in economics, and a source of background material for professionals conducting empirical studies.
Econometrics of Multi-dimensional Panels
Theory and Applications
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This book takes stock of and analyses the direct and indirect effects of the war in Ukraine, the policy response to the shock across countries, as well as the potential medium-term economic and social implications and policy challenges.
The last decade most Central and Eastern European (CEE) economies have been on a convergence path towards the EU average according to the main economic indicators. In 2022, however, the terrible war in Ukraine had major spillovers to the rest of the world, with the CEE economies being among the most exposed. The millions of refugees, the disruptions to energy supply, trade and supply chains, the surge in inflation, the tightening of global financial conditions, and elevated uncertainty created a radically new economic and social environment in these countries. The volume covers the economic effects of these challenges, the policy options available, and also those related to the eventual reconstruction of Ukraine, including the potential role of the CEE countries. Based on data and evidence-supported policy analysis, each chapter studies the impact of the shock on a particular area of the economy and makes general and country-specific policy recommendations.
This makes this book a must-read for students, scholars, and researchers of economics and neighboring disciplines, as well as policy-makers interested in a better understading of the direct and indirect effects of the war in Ukraine on the CEE countries. The book is a sequel to the volume Emerging European Economies after the Pandemic, (Springer Nature, January 2022).
Chapter "Economic Growth & Resilience" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Seven Decades of Econometrics and Beyond
A Tribute to the Life and Work of Marc Nerlove
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This volume honors the life and legacy of renowned economist and econometrician Marc Nerlove, who passed away in July 2024. His influential contributions to the field have left a lasting impact on econometrics and the broader economics profession.
The book features high-quality original research across various domains of theoretical and applied econometrics, reflecting Nerlove’s broad range of interests. It includes survey chapters that provide valuable insights into key areas of econometrics, enhancing readers’ understanding of important topics. Where relevant, personal tributes and reflections on Marc Nerlove''s work are thoughtfully interwoven into the chapters.
This volume offers cutting-edge findings in panel data analysis, agricultural, population and spatial economics, income inequality, and more. The diversity of topics discussed highlights the profound and far-reaching influence of Marc Nerlove''s career on the field of economics.
Seven Decades of Econometrics and Beyond
A Tribute to the Life and Work of Marc Nerlove
1 616 kr
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This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis.
The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated. The interaction between economics and econometrics resulted in a huge publication output, deepening and widening immensely our knowledge and understanding in both. The traditional panel data, by nature, are two-dimensional. Lately, however, as part of the big data revolution, there has been a rapid emergence of three, four and even higher dimensional panel data sets. These have started to be used to study the flow of goods, capital, and services, but also some other economic phenomena that can be better understood in higher dimensions. Oddly, applications rushed ahead of theory in this field.
This book isaimed at filling this widening gap. The first theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions.
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