Masaaki Imaizumi

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This paper studies the effect of retirement on lifestyle habits, including drinking, smoking, exercise, and sleeping, by using panel data from the Japanese Study of Aging and Retirement (JSTAR). Rich information in JSTAR enables us to use an interesting instrumental variable to account for endogeneity. We have three contributions in this paper. This is the(More)
Real data tensors are typically high dimensional; however, their intrinsic information is preserved in low-dimensional space, which motivates the use of tensor decompositions such as Tucker decomposition. Frequently, real data tensors smooth in addition to being low dimensional, which implies that adjacent elements are similar or continuously changing.(More)
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