Statistical Aggregation Analysis - Softcover

Thomas M. Stoker

 
9781330285886: Statistical Aggregation Analysis

Synopsis

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.

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