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handle: 10419/279016 , 11565/4071256
Abstract We study the psychological costs of financial constraints and their economic consequences. Using a representative survey of U.S. households, we document the prevalence of financial stress in U.S. households and a strong relationship between financial stress and measures of financial constraints. We incorporate financial stress into an otherwise standard dynamic model of consumption and labour supply. We emphasize two key results. First, both financial stress itself and naivete about financial stress are important components of a psychology-based theory of the poverty trap. Sophisticated households, instead, save extra to escape high-stress states because they understand that doing so alleviates the economic consequences of financial stress. Second, the financial stress channel dampens or reverses the counterfactual large negative wealth effect on labour earnings because relieving stress frees up cognitive resources for productive work. Financial stress also has macroeconomic implications for wealth inequality and fiscal multipliers.
household finance, stress, G5, ddc:330, BEHAVIORAL MACROECONOMICS, POVERTY TRAPS, FINANCIAL STRESS, survey, behavioral economics, E7
household finance, stress, G5, ddc:330, BEHAVIORAL MACROECONOMICS, POVERTY TRAPS, FINANCIAL STRESS, survey, behavioral economics, E7
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |