A Practical Guide to Age-Period-Cohort Analysis: The Identification Problem and Beyond

ISBN-13: 9780367734800 / Angielski / Miękka / 2020 / 230 str.

Wenjiang Fu

Opis

A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This book first describes the basic graphic presentation and modeling of APC data using R. Taking a more theoretical point of view, it then presents var

Spis treści

1. Motivation of Age - Period - Cohort Analysis Examples and Applications What Is Age-Period-Cohort Analysis? Why Age - Period - Cohort Analysis? Four Data Sets in APC Studies Special Features of These Data Sets Data Source R Programming and Video Online Instruction Suggested Readings Exercises 2. Preliminary Analysis of Age - Period - Cohort Data - Graphic Methods D Plots in Age, Period, and Cohort D Plot in Age, Period, and Cohort Suggested Readings Exercises 3. Preliminary Analysis of Age - Period - Cohort Data - Basic Models Linear Models for Continuous Response Single Factor Models Two Factor Models R Programming for Linear Models Loglinear Models for Discrete Response Single Factor Models Two Factor Models R Programming for Loglinear Models Suggested Readings Exercises 4. Age-Period-Cohort Model - Complexity with Linearly Dependent Covariates Lexis Diagram and Pattern in Age, Period, and Cohort Lexis Diagram and Dependence among Age, Period, and Cohort Explicit Pattern in APC Data with Identical Spans in Age and Period Implicit Pattern in APC Data with Unequal Spans in Age and Period Complexity in Full Age - Period - Cohort Model Regression with Linearly Dependent Covariates Age-Period-Cohort Models and the Complexity R Programming for Generating the Design Matrix for APC Models Suggested Readings Exercises 5. Age-Period-Cohort Model - The Identification Problem and Various Approaches The Identification Problem and Confusion Two Popular Approaches to the Identification Problem Constraint Approach Estimable Function Ap

O autorze

Wenjiang Fu