1.

Record Nr.

UNISA990000005460203316

Autore

BARBARITO, Luca

Titolo

L' analisi di settore : metodologia e applicazioni / Luca Barbarito

Pubbl/distr/stampa

Milano : Angeli, 2000

ISBN

88-464-1237-0

Edizione

[2. ed.]

Descrizione fisica

355 p. ; 22 cm

Disciplina

338

Soggetti

Economia industriale

Collocazione

IRA 6 289

600 658.402 BAR

338 BAR 2

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910787849103321

Autore

O'Brien Robert M.

Titolo

Age-period-cohort models : approaches and analyses with aggregate data / / Robert M. O'Brien, University of Oregon, Eugene, USA

Pubbl/distr/stampa

Boca Raton : , : CRC Press, , [2015]

©2015

ISBN

0-429-08856-6

1-4665-5153-4

Edizione

[1st edition]

Descrizione fisica

1 online resource (216 p.)

Collana

Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences Series

Disciplina

001.42/2

001.422

Soggetti

Cohort analysis

Age groups - Statistical methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1. Introduction to the age, period, and cohort mix -- 2. Multiple classification models and constrained regression -- 3. Geometry of age-period-cohort (APC) models and constrained estimation -- 4. Estimable functions approach -- 5. Partitioning the variance in age-period-cohort (APC) models -- 6. Factor-characteristic approach -- 7. Conclusions : an empirical example.

Sommario/riassunto

Develop a Deep Understanding of the Statistical Issues of APC AnalysisAge-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. See How Common Methods Are Related to Each OtherAfter a general and wide-ranging introductory chapter, the book explain