Mateusz Pipien,Sylwia Roszkowska
Empirical Macroeconomics and Statistical Uncertainty: Spatial and Temporal Disaggregation of Regional Economic Indicators
Empirical Macroeconomics and Statistical Uncertainty: Spatial and Temporal Disaggregation of Regional Economic Indicators
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- More about Empirical Macroeconomics and Statistical Uncertainty: Spatial and Temporal Disaggregation of Regional Economic Indicators
This book provides a course of advanced but intuitive methods and tools for spatial and temporal disaggregation of macroeconomic variables, focusing on GDP and its growth in Poland. It uses the Seemingly Unrelated Regression Equations (SURE) specification to handle heterogeneity and addresses uncertainty in the estimates. It is essential reading for academics, researchers, economists, central bankers, and policymakers with regional analysis as their field of expertise.
Format: Paperback / softback
Length: 120 pages
Publication date: 29 April 2022
Publisher: Taylor & Francis Ltd
This comprehensive book delves into one of the pivotal research endeavors in empirical macroeconomics, offering a comprehensive course of advanced yet intuitive methods and tools for the spatial and temporal disaggregation of fundamental macroeconomic variables and the evaluation of the statistical uncertainty associated with such disaggregation. The empirical analysis primarily revolves around GDP growth within the context of Poland, although the methods discussed herein can be readily applied to other countries as well. The book adopts an econometric approach that views spatial and temporal disaggregation as a specific instance of estimating missing observations, a topic in the realm of missing data analysis. It presents a comprehensive econometric course of models of Seemingly Unrelated Regression Equations (SURE). The primary advantage of employing the SURE specification lies in its ability to address the research problem at hand, enabling the consideration of heterogeneity in the parameters describing the relationships between macroeconomic indicators. The book encompasses detailed model specifications, along with descriptions of stochastic assumptions and the corresponding estimation and testing procedures. Furthermore, the method addresses the uncertainty inherent in the estimates generated, presenting all necessary tests and assumptions in meticulous detail. The outcomes of this research are intended to serve as a valuable resource, facilitating more convenient and comparably robust regional analyses. By providing a solid foundation for drawing conclusions and making recommendations regarding regional economic policy in Poland, particularly in assessing the economic situation, this book assumes a crucial role for academics, researchers, economists specializing in regional analysis, central bankers, and policymakers alike.
Weight: 222g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367540784
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