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Studies of human memory indicate that features of an event evoke memories of prior associated contextual states, which in turn become associated with the current event's features. This retrieved-context mechanism allows the remote past to influence the present, even as agents gradually update their beliefs about their environment. We apply a version of retrieved-context theory, drawn from the literature on human memory, to explain three types of evidence in the financial economics literature: the role of early life experience in shaping investment choices, occurrence of financial crises, and the effect of fear on asset allocation. These applications suggest a recasting of neoclassical rational expectations in terms of beliefs as governed by principles of human memory. [ABSTRACT FROM AUTHOR]

A new and rapidly growing econometric literature is making advances in the problem of using machine learning methods for causal inference questions. Yet, the empirical economics literature has not started to fully exploit the strengths of these modern methods. We revisit influential empirical studies with causal machine learning methods aiming to connect the econometric theory on these methods with empirical economics. We focus on the double machine learning, causal forest, and generic machine learning methods, in the context of both average and heterogeneous treatment effects. We illustrate the implementation of these methods in a variety of settings and highlight the relevance and value added relative to traditional methods used in the original studies. [ABSTRACT FROM AUTHOR]

Only one in seven of the world's population have ever migrated, despite the enormous gains in income possible through international and internal movement. I examine the evidence for different explanations given in the economics literature for this lack of movement and their implications for policy. Incorrect information about the gains to migrating, liquidity constraints that prevent poor people paying the costs of moving, and high costs of movement arising from both physical transportation costs and policy barriers all inhibit movement and offer scope for policy efforts to inform, provide credit, and lower moving costs. However, the economics literature has paid less attention to the fears people have when faced with the uncertainty of moving to a new place, and to the reasons behind the tears they shed when moving. While these tears reveal the attachment people have to particular places, this attachment is not fixed, but itself changes with migration experiences. Psychological factors such as a bias toward the status quo and the inability to picture what one is giving up by not migrating can result in people not moving, even when they would benefit from movement and are not constrained by finances or policy barriers from doing so. This suggests new avenues for policy interventions that can help individuals better visualize the opportunity costs of not moving, alleviate their uncertainties, and help shift their default behavior from not migrating. [ABSTRACT FROM AUTHOR]