Estimation of a Conditional Copula and Association Measures

Abstarct. This paper is concerned with studying the dependence structure between two random variables Y ₁ and Y ₂ conditionally upon a covariate X. The dependence structure is modelled via a copula function, which depends on the given value of the covariate in a general way. Gijbels et al. (Comput. Statist. Data Anal., 55, 2011, 1919) suggested two non‐parametric estimators of the ‘conditional’ copula and investigated their numerical performances. In this paper we establish the asymptotic properties of the proposed estimators as well as conditional association measures derived from them. Practical recommendations for their use are then discussed.     

Nontraditional Family‐Related Attitudes in Japan: Macro and Micro Determinants

Attitudinal data are commonly used to measure values, which in turn represent moral doctrines that are resistant to change and are the foundation for societal norms. This article examines changes in the attitudinal climate in Japan. Three national surveys (1994, 2000, and 2009) are used to examine a range of attitudes that measure a) the centrality of marriage and childbearing, b) nontraditional family behaviors, and c) gender roles in the work and family spheres. There is strong evidence of movement toward less‐traditional attitudes during 1994–2000, followed by limited change in the 2000s. Period factors were paramount in the 1990s. Across the board, women hold less‐traditional attitudes than men, and this difference has increased over time. Both engaging in nontraditional family behaviors (being married but remaining childless) and knowing someone who has engaged in nontraditional family behaviors (cohabitation) causally lead to holding nontraditional attitudes, suggesting mechanisms whereby changes in individual behavior can lead to changes in societal values.