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Routledge Empirical Macroeconomics and Statistical Uncertainty

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Description

This academic text provides an advanced guide to one of the most significant research activities in empirical macroeconomics. It offers a course in intuitive methods and tools designed for the spatial and temporal disaggregation of basic macroeconomic variables. Readers will learn how to assess the statistical uncertainty associated with disaggregation outcomes, providing a solid foundation for complex economic analysis. While the empirical analysis focuses on GDP and growth within the context of Poland, the methodologies presented are versatile. The techniques discussed can be applied to economic data from other countries, making this a valuable resource for researchers and students globally. By viewing spatial and temporal disaggregation through a specialized lens, this book helps bridge the gap between high-level macroeconomic theory and practical, data-driven application in regional economic studies.

Key Features

Learn advanced yet intuitive methods for the spatial and temporal disaggregation of essential macroeconomic variables.

Gain the ability to assess statistical uncertainty in the outcomes of your disaggregation processes.

Study real-world empirical analysis focused on GDP and economic growth trends.

Utilize versatile methodologies that are applicable to various countries beyond the Polish context.

Part of the Routledge Studies in the European Economy series for specialized academic research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 August 2020
Listed Since
21 March 2020

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