Excerpt from Statistical Aggregation Analysis: Characterizing Macro Functions, With Cross Section Data
For a complete discussion of the issues addressed in this paper, a very general specification of the population structure underlying a macro relation is required. However, in order to direct attention to the distributional in fluences on macro relations, which provide the focus of results in Section we present slightly simplified background assumptions and notation. In Section these assumptions are relaxed and the results reinterpreted.
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Excerpt from Statistical Aggregation Analysis: Characterizing Macro Functions, With Cross Section Data
This paper investigates the use of individual cross section data to describe macro functions. Necessary and sufficient conditions (denoted as) are found for OlS slope coefficients from a cross section to consistently estimate the first derivatives of the macro function. As embodies both sets of aggregation assumptions known; linear aggregation and sufficient statistics, and thus represents generalized aggregation conditions. A methodology is given for estimating second order derivatives of the macro function from cross section data for distributions of the exponential family, which extends to higher order derivatives. Finally, a general test of linear aggregation schemes is described.
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.
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Librería: Forgotten Books, London, Reino Unido
Paperback. Condición: New. Print on Demand. This book studies the use of cross-section data to describe macro functions, which are typically derived from microeconomic theories but estimated with time-series data. It introduces a new property called asymptotic sufficiency, which characterizes when cross-section data can be used to estimate the first derivatives of macro functions. The author explores the relationship between asymptotic sufficiency and aggregation assumptions and shows that it embodies both kinds of aggregation assumptions known: linear aggregation and sufficient statistics. The book presents a methodology for estimating higher-order derivatives of macro functions from cross-section data when the distribution is a member of the exponential family, which extends to higher-order derivatives. Finally, it describes a general test of linear aggregation schemes that relies only on the existence of certain population moments. This book is a valuable resource for researchers and practitioners interested in using cross-section data to characterize macro functions. 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: 9781330285886_0
Cantidad disponible: Más de 20 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-9781330285886
Cantidad disponible: 15 disponibles