By Yang Yang,Kenneth C. Land
Age-Period-Cohort research: New versions, 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 learn designs: age-by-time interval tables of inhabitants charges or proportions, repeated cross-section pattern surveys, and sped up longitudinal panel stories. The authors express how the empirical program of the types to numerous difficulties results in many desirable findings on how final result variables improve alongside the age, interval, and cohort dimensions.
The e-book makes crucial contributions to quantitative experiences of time-related swap. throughout the advent of the GLMM framework, it exhibits how cutting edge estimation equipment and new version requisites can be utilized to take on the "model identity challenge" that has hampered the advance and empirical program of APC research. The booklet additionally addresses the key feedback opposed to APC research by way of explaining using new types in the GLMM framework to discover mechanisms underlying age styles and temporal tendencies.
Encompassing either methodological expositions and empirical stories, this booklet explores the ways that statistical types, equipment, and learn designs can be utilized to open new percentages for APC research. It compares new and present versions and strategies and offers beneficial instructions on the right way to behavior APC research. For empirical illustrations, the textual content comprises examples from numerous disciplines, similar to sociology, demography, and epidemiology. besides information on empirical analyses, software program and courses to estimate the types can be found at the book’s net page.
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Extra resources for Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications (Chapman & Hall/CRC Interdisciplinary Statistics)
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications (Chapman & Hall/CRC Interdisciplinary Statistics) by Yang Yang,Kenneth C. Land