Statistical Aggregation Analysis, Characterizing Macro Functions: With Cross Section Data (Classic Reprint) - Hardcover

Thomas M. Stoker

9780332578118: Statistical Aggregation Analysis, Characterizing Macro Functions: With Cross Section Data (Classic Reprint)

Hardcover

ISBN 10: 0332578119 ISBN 13: 9780332578118

Publisher: Forgotten Books, 2018

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Unlocking macro insights from micro data with cross‑section evidence.

This book develops a practical framework for using simple statistical tools to characterize how micro relationships scale up to macro functions. It explains when cross‑section data can reveal the true macro relation and how to test those links without heavy modeling assumptions.

Cross section data, not time series, can still illuminate how individual attributes aggregate to outcomes like demand or production. The text shows how least squares regressions on micro data can reflect derivatives of the macro function, under specific conditions, and it outlines when these results are reliable. It also introduces a methodology for estimating higher‑order macro features using cross‑section moments, grounded in the exponential family of distributions, with attention to distributional sufficiency and asymptotic sufficiency.
What you’ll experience

Conditions that make micro slope coefficients informative about macro relationships
How to frame cross‑section results to reflect macro derivatives
A practical approach to testing exact or consistent aggregation models
How distributional assumptions shape what micro data can reveal about the macro function

Ideal for readers of economics and statistics who want a rigorous, data‑driven path from micro observations to macro conclusions.

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