Excerpt from Statistical Aggregation Analysis, Characterizing Macro Functions: With Cross Section Data
Although econometricians have been estimating time series macro functions over average data for decades, it is rare to find studies which take into account the averaged character of the data. Even in the simplest consumption function regression of average consumption on average income, one is only capturing the statistical relation between two summary statistics of the underlying consumption income distribution. Unless saving behavior is virtually identical across individuals or the structure of the income distribution is extremely limited.
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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
"Sinopsis" puede pertenecer a otra edición de este libro.
Excerpt from Statistical Aggregation Analysis, Characterizing Macro Functions: With Cross Section Data
Although econometricians have been estimating time series macro functions over average data for decades, it is rare to find studies which take into account the averaged character of the data. Even in the simplest consumption function regression of average consumption on average income, one is only capturing the statistical relation between two summary statistics of the underlying consumption income distribution. Unless saving behavior is virtually identical across individuals or the structure of the income distribution is extremely limited.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Forgotten Books, London, Reino Unido
Paperback. Condición: New. Print on Demand. This book explores the idea of studying macro functions with cross section information. By examining these economic functions across a set of data points, rather than over time, the author finds that under certain conditions, results from micro regressions can provide insights into macro functions. The author, an accomplished econometrician, develops methodologies for studying both linear and nonlinear macro functions using cross-sectional data. This work has major implications for how economic data is analyzed and interpreted, opening up new possibilities for researchers in various fields. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Nº de ref. del artículo: 9781330285800_0
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781330285800
Cantidad disponible: 15 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781330285800
Cantidad disponible: 15 disponibles