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This edited volume examines the development path of eight Central and Eastern European countries with an overlapping historical background that joined the European Union between 2004 and 2013, and identifies the main similarities and differences between the countries concerned. Based on wide comparative data analysis of Bulgaria, Croatia, The Czech Republic, Hungary, Poland, Romania, Slovakia, and Slovenia, each chapter in the volume provides detailed information about the state of the economy in a specific area preceding the pandemic shock. The book offers a detailed snapshot of the state of the different areas of the economy, starting from the time when the countries concerned came out of the 2008 financial crisis, up to the date when COVID-19 hit. Further, each chapter analyzes the effects of this unprecedented shock on a particular field, which is followed by highlighting the main problems the countries are facing at present and in the near future, together with identifying the available policy options. Finally, before concluding and making general and country-specific policy recommendations, some thoughts will be given to longer-term prospects. More specifically, the question of how the subject area could contribute to avoiding the "middle-income-trap" that this region may be facing will be addressed. The comprehensive approach makes this volume a must-read for scholars and students of economics, as well as policy decision-makers in Europe, interested in a better understanding of the region's economic development.

Economic order --- Economic policy and planning (general) --- Economic conditions. Economic development --- Foreign trade. International trade --- Economics --- World history --- economie --- economische politiek --- wereldeconomie --- economische geschiedenis --- economische ontwikkelingen --- internationale economie --- Europe

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This completely restructured, updated third edition of The Econometrics of Panel Data, first published in 1992, provides a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Kuh, Mundlak, Hoch and Balestra and Nerlove, the pooling of cross section and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. This third, enhanced edition provides a complete and up to date presentation of theoretical developments as well as surveys about how econometric tools are used to study firms and household’s behaviors. It contains eleven entirely new chapters while the others have been largely revised to account for recent developments in the field.

Econometrics. --- Panel analysis. --- Economics, Mathematical --- Statistics --- Panel studies --- Social sciences --- Methodology --- Statistics. --- Economic theory. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Economic theory --- Political economy --- Economic man --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistics .

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This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice. Throughout the volume, the authors raise and answer six questions: 1) What are the similarities between existing econometric and machine learning techniques? 2) To what extent can machine learning techniques assist econometric investigation? Specifically, how robust or stable is the prediction from machine learning algorithms given the ever-changing nature of human behavior? 3) Can machine learning techniques assist in testing statistical hypotheses and identifying causal relationships in 'big data? 4) How can existing econometric techniques be extended by incorporating machine learning concepts? 5) How can new econometric tools and approaches be elaborated on based on machine learning techniques? 6) Is it possible to develop machine learning techniques further and make them even more readily applicable in econometrics? As the data structures in economic and financial data become more complex and models become more sophisticated, the book takes a multidisciplinary approach in developing both disciplines of machine learning and econometrics in conjunction, rather than in isolation. This volume is a must-read for scholars, researchers, students, policy-makers, and practitioners, who are using econometrics in theory or in practice. .

Macroeconomics --- Quantitative methods (economics) --- Programming --- programmeren (informatica) --- macro-economie --- econometrie

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This book explores institutional change and economic behaviour by examining the transition process in the former socialist countries that joined the EU in 2004, looking at the growth occurring in China, offering a historical perspective on economic underdevelopment in the Middle East, and discussing the neo-classical paradigm.

Economic history - 1990-. --- Institutional economics. --- Communities - Urban Groups --- Management Theory --- Sociology & Social History --- Management --- Business & Economics --- Social Sciences --- Institutional economics --- Economic history --- Economic History --- Economic Theory --- Institutionnalisme --- Histoire économique --- Economic theory. --- Economic history. --- Economics. --- Regional economics. --- Spatial economics. --- Regional/Spatial Science. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Economic Systems. --- Economic History. --- Spatial economics --- Economics --- Regional economics --- Regional planning --- Regionalism --- Space in economics --- Economic theory --- Political economy --- Social sciences --- Economic man --- Economic conditions --- History, Economic --- Political Economy/Economic Systems. --- Economic policy. --- Economic nationalism --- Economic planning --- National planning --- State planning --- Planning --- National security --- Social policy