This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation. The empirical analysis focuses mainly on GDP and its growth in the context of Poland. However, all of the methods discussed can be easily applied to other countries. The approach used in the book views spatial and temporal disaggregation as a special case of the estimation of missing observations (a topic on missing data analysis). The book presents an econometric course of models of Seemingly Unrelated Regression Equations (SURE). The main advantage of using the SURE specification is to tackle the presented research problem so that it allows for the heterogeneity of the parameters describing relations between macroeconomic indicators. The book contains model specification, as well as descriptions of stochastic assumptions and resulting procedures of estimation and testing. The method also addresses uncertainty in the estimates produced. All of the necessary tests and assumptions are presented in detail. The results are designed to serve as a source of invaluable information making regional analyses more convenient and – more importantly – comparable. It will create a solid basis for making conclusions and recommendations concerning regional economic policy in Poland, particularly regarding the assessment of the economic situation. This is essential reading for academics, researchers, and economists with regional analysis as their field of expertise, as well as central bankers and policymakers.

This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation. The empirical analysis focuses mainly on GDP and its growth in the context of Poland. However, all of the methods discussed can be easily applied to other countries. The approach used in the book views spatial and temporal disaggregation as a special case of the estimation of missing observations (a topic on missing data analysis). The book presents an econometric course of models of Seemingly Unrelated Regression Equations (SURE). The main advantage of using the SURE specification is to tackle the presented research problem so that it allows for the heterogeneity of the parameters describing relations between macroeconomic indicators. The book contains model specification, as well as descriptions of stochastic assumptions and resulting procedures of estimation and testing. The method also addresses uncertainty in the estimates produced. All of the necessary tests and assumptions are presented in detail. The results are designed to serve as a source of invaluable information making regional analyses more convenient and – more importantly – comparable. It will create a solid basis for making conclusions and recommendations concerning regional economic policy in Poland, particularly regarding the assessment of the economic situation. This is essential reading for academics, researchers, and economists with regional analysis as their field of expertise, as well as central bankers and policymakers.

The revised edition of the essential resource on macroeconometrics Structural Macroeconometrics provides a thorough overview and in-depth exploration of methodologies, models, and techniques used to analyze forces shaping national economies. In this thoroughly revised second edition, David DeJong and Chetan Dave emphasize time series econometrics and unite theoretical and empirical research, while taking into account important new advances in the field. The authors detail strategies for solving dynamic structural models and present the full range of methods for characterizing and evaluating empirical implications, including calibration exercises, method-of-moment procedures, and likelihood-based procedures, both classical and Bayesian. The authors look at recent strides that have been made to enhance numerical efficiency, consider the expanded applicability of dynamic factor models, and examine the use of alternative assumptions involving learning and rational inattention on the part of decision makers. The treatment of methodologies for obtaining nonlinear model representations has been expanded, and linear and nonlinear model representations are integrated throughout the text. The book offers a rich array of implementation algorithms, sample empirical applications, and supporting computer code. Structural Macroeconometrics is the ideal textbook for graduate students seeking an introduction to macroeconomics and econometrics, and for advanced students pursuing applied research in macroeconomics. The book's historical perspective, along with its broad presentation of alternative methodologies, makes it an indispensable resource for academics and professionals.

The Methodology of Empirical Macroeconomics stakes out a pragmatic middle-ground between traditional, prescriptive economic methodology and recent descriptive (sociological or rhetorical) methodology. The former is sometimes seen as arrogantly telling economists how to do their work and the latter as irrelevant to their practice. The lectures are built around a case study of a concrete example of macroeconomic analysis. They demonstrate that economic methodology and the philosophy of science offer insights that help to resolve the genuine concerns of macroeconomists. Some examples of questions addressed include: What is the relationship between theoretical models and empirical observations? What is the relevance of macroeconomics to policy? Should macroeconomics be viewed as a special case of microeconomics? What is the place of long-standing philosophical issues in macroeconomics, such as the scope and nature of economic laws, the role of idealizations, methodological individualism, and the problem of causality?

Following the British referendum held on June 23, 2016, voters supported the withdrawal of the UK from the European Union (EU) (Brexit), a starting point for the third round of European crisis, following the eurozone debt crisis and the migration crisis. This volume provides an overview of the process and consequences of Brexit for EU member states, with an emphasis on possible future EU-UK relations, and a particular focus on countries in Central and Eastern Europe (CEE). The authors assess the extent to which firms in CEE states have already put in place strategies to counter the new economic reality post-Brexit and identify the strategies that firms are exploiting to better cope with the anticipated implications of Brexit. The book includes a ranking of countries most and least likely to be affected by Brexit; identification of the main determinants of the expansion of companies on the British market and the creation of a typology of strategies used by these companies in the face of Brexit. The book stands out as a complex and multidimensional research work that draws its roots from distinct yet simultaneously interlinked research areas. It will find a broad audience among academics and students across diverse fields of study, as well as practitioners and policy makers. It is a key reference for all those who want to better understand the complex nature of Brexit and its implications, not only for EU member states but, first and foremost, the business environment.

The year 2020 went down in economic history due to the dramatic and drastic changes in economic and social conditions that resulted from the outbreak of the global pandemic of COVID-19. This book offers a multi-level narrative about the pandemic, written from national and international perspectives, enabling the authors to construct several macro- and mega-scenarios. The book consists of six chapters. Four of them discuss the process of the COVID-19 pandemic caused by the SARS-CoV-2 virus in Europe in 2020, i.e. the directions and dynamics of the spread and its socioeconomic consequences, and provide a comparative analysis of fiscal and monetary packages employed by Europe, with an emphasis on Eastern European countries. The remaining two chapters contain forecasts and scenarios. The fifth chapter, dedicated to forecasts, provides readers with a comprehensive description of possible consequences of any epidemic leading to severe social losses such as high percentages of infected and dead, limited interpersonal contacts as a result of lockdown, a lowered level of general individual and social well-being, as well as economic losses, for example a decline in production as a result of the collapse of aggregate demand and a reduction in the supply capacity of the economy, consequently slowing down the pace of capital accumulation. The sixth, final chapter describes possible scenarios of the spread of the pandemic in Poland and Ukraine, depending on measures taken by the governments of those countries. The Socioeconomic Impact of COVID-19 on Eastern European Countries is designed as a practical reference for scholars, researchers and policymakers.

Macroeconomics is evolving in an almost dialectic fashion. The latest evolution is the development of a new synthesis that combines insights of new classical, new Keynesian and real business cycle traditions into a dynamic, stochastic general equilibrium (DSGE) model that serves as a foundation for thinking about macro policy. That new synthesis has opened up the door to a new antithesis, which is being driven by advances in computing power and analytic techniques. This new synthesis is coalescing around developments in complexity theory, automated general to specific econometric modeling, agent-based models, and non-linear and statistical dynamical models. This book thus provides the reader with an introduction to what might be called a Post Walrasian research program that is developing as the antithesis of the Walrasian DSGE synthesis.