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Persistent link: https://www.econbiz.de/10003579730
We present new evidence on the relationship between health behaviors and experimental measures of risk and time … preferences and introduce evidence that perceived control - a measure incorporated from the health psychology literature - is a … stronger and more consistent predictor of health behaviors than economic preferences. …
Persistent link: https://www.econbiz.de/10009681237
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transitory shocks? The implications for consumption and welfare depend crucially on the answer to this question. We use CEX … repeated cross-section data on consumption and income to decompose idiosyncratic changes in income into predictable life … evolution of consumption and income inequality well and delivers two main results. First, we find that permanent changes in …
Persistent link: https://www.econbiz.de/10012733915
Focuses on a study which developed a framework for forecast and decision horizons. Definition of finite and infinite horizon stochastic optimization problems for a given forecast; Description of the general framework; Conditions for the existence of a solution horizon; Development of sufficient...
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This paper proposes a model for self-assessed health at an aggregate level that allows to generate age- and gender …-specific stochastic forecasts of future health. We decompose health status into a time effect and an age effect. We then further decompose …. We use data on the U.S. population's self-assessed health for both males and females to estimate the model. The …
Persistent link: https://www.econbiz.de/10013015156
expectancy will be associated with more or less life years spent with ill-health. Therefore it is useful to complement forecasts … of life expectancy with forecasts of health expectancies. To forecast health expectancy an extension of the stochastic … using regular life tables, one could project transition probabilities between health states simultaneously and use multi …
Persistent link: https://www.econbiz.de/10013127120
This paper shows that shootings are predictable enough to be preventable. Using arrest and victimization records for almost 644,000 people from the Chicago Police Department, we train a machine learning model to predict the risk of being shot in the next 18 months. We address central concerns...
Persistent link: https://www.econbiz.de/10013334389