Download PDF by Yang Yang,Kenneth C. Land: Age-Period-Cohort Analysis: New Models, Methods, and

By Yang Yang,Kenneth C. Land

Age-Period-Cohort research: New types, tools, and Empirical Applications is predicated on a decade of the authors’ collaborative paintings in age-period-cohort (APC) research. inside a unmarried, constant HAPC-GLMM statistical modeling framework, the authors synthesize APC types and strategies for 3 examine designs: age-by-time interval tables of inhabitants premiums or proportions, repeated cross-section pattern surveys, and sped up longitudinal panel reports. The authors express how the empirical program of the types to varied difficulties ends up in many desirable findings on how end result variables advance alongside the age, interval, and cohort dimensions.

The e-book makes crucial contributions to quantitative reports of time-related switch. throughout the advent of the GLMM framework, it indicates how leading edge estimation equipment and new version requirements can be utilized to take on the "model id challenge" that has hampered the improvement and empirical software of APC research. The booklet additionally addresses the most important feedback opposed to APC research by means of explaining using new versions in the GLMM framework to discover mechanisms underlying age styles and temporal developments.

Encompassing either methodological expositions and empirical reviews, this booklet explores the ways that statistical versions, tools, and examine designs can be utilized to open new percentages for APC research. It compares new and latest types and strategies and offers invaluable guidance on the way to behavior APC research. For empirical illustrations, the textual content comprises examples from a number of disciplines, similar to sociology, demography, and epidemiology. in addition to info on empirical analyses, software program and courses to estimate the versions can be found at the book’s internet page.

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Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications (Chapman & Hall/CRC Interdisciplinary Statistics) by Yang Yang,Kenneth C. Land

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