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Political scientists often use the lens of generations when studying how the political views of citizens develop and how the polity as a whole evolves. This essay provides an overview of the topic: distinguishing work on lineage generations from that on political generations while also addressing their intersection; describing the Age-Period-Cohort (APC) framework used to study political generations and illustrating the difficulty of distinguishing cohort from age and period effects; and reflecting on the difficulty of explaining generational differences. The essay closes with a discussion of the many ways in which America's youngest citizens are politically different from their elders.

Political scientists often use the lens of generations when studying how the political views of citizens develop and how the polity as a whole evolves. This essay provides an overview of the topic: distinguishing work on lineage generations from that on political generations while also addressing their intersection; describing the Age-Period-Cohort (APC) framework used to study political generations and illustrating the difficulty of distinguishing cohort from age and period effects; and reflecting on the difficulty of explaining generational differences. The essay closes with a discussion of the many ways in which America's youngest citizens are politically different from their elders.

Reviews Steven A. Tuch & Michael Hughes's "Whites' Racial Policy Attitudes" (1996 [see abstract 9715740]), suggesting a reexamination of the purpose & ideal character of research concerning race-targeted policies. It is argued that Tuch & Hughes did not pay sufficient attention to the effects differing policy attributes would have on whites' policy views. It is further contended that the data sets used by Tuch & Hughes characterized racial prejudice variables differently, which may account for the differences discovered in their statistical analyses. Experimental research designs are suggested that would allow future testing of the sources of policy-specific variations in opinion. 24 References. S. Barrera

This paper develops a design-based approach to identifying cohort effects in APC analyses. Cohort effects arise when one cohort is treated by a unique set of formative socialization experiences, which causes it to differ from other cohorts in relevant outcomes. APC analyses typically compare treated and untreated cohorts from a single population. Our approach introduces a second group-a control group, in which no unit is treated but that is otherwise similar to the first-and adapts difference-in-differences estimation to the APC framework. The approach yields two identification strategies, each based on transparent and testable assumptions. We illustrate how the method works and what is to be gained through three examples. © 2013 Elsevier Ltd.