Statistical Aggregation Analysis, Characterizing Macro Functions: With Cross Section Data (Classic Reprint)
Language: English
Published by Forgotten Books, 2018
- Hardcover
- New

Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
US$ 38.22
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Add to basketItem description from seller
Seller Inventory # LX-9780332578118
- Title
- Statistical Aggregation Analysis, Characterizing Macro Functions: With Cross Section Data (Classic Reprint)
- Author
- Thomas M. Stoker
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Binding
- HRD
- Language
- English
- ISBN 10
- 0332578119
- ISBN 13
- 9780332578118
- Item weight
- 275 grams
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
"Synopsis" may belong to another edition of this title.
PBShop.store US
Wood Dale, IL, U.S.A.
AbeBooks seller since April 7, 2005
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