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As an emerging first-tier world power, China is exerting an important influence on countries in the Asia-Pacific region, especially Taiwan, with which it has a long history of often contentious relations. This study investigates the impact of "intergenerational value change" on impressions of China in 2017 among three political birth cohorts of Taiwanese. Based on a representative survey of Taiwanese citizens, the study finds that cohort impressions can be classified according to the extent to which they relate to the economic–political and the social–environmental dimensions, suggesting that Taiwanese perceptions of China are not unidimensional and are more nuanced than they first appear. The data by and large confirm the validity of cohort differences; members of the first and oldest cohort hold more positive impressions of China with respect to social and environmental issues than members of the second and middle cohort, while the third and youngest cohort would regard China in a more positive light if their economic and political concerns were addressed. A few variables remain statistically significant, including party identification and unification versus independence preference, even after controlling for aging effects.

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions.The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book's web page

AbstractFemale labor force participation rates have been stagnating despite rising female education in sub‐Saharan Africa since the turn of the millennium. Using representative and repeated census data from a heterogeneous sample of 13 sub‐Saharan African countries, this paper analyzes female labor force participation from a demographic perspective. We show that enrollment in education is substantially higher among the most recent female cohorts than among the earlier‐born ones. The higher enrollment mechanically depresses female labor force participation, weakening the relationship between female labor force participation and education. After taking this cohort trend into account, we find a strong and positive association between female labor force participation and female education. We further find a cohort trend toward higher female employment in the nonprimary sector and a positive association between female employment in the nonprimary sector and female education. The higher investments in education by younger female cohorts, together with the demographics of sub‐Saharan African countries, have implications for a potentially arising "demographic dividend".