Evidence suggests that people understand qualitatively how tastes change over time, but underestimate the magnitudes. This evidence is limited, however, to laboratory evidence or surveys of reported happiness. We test for such projection bias in field data. Using data on catalog orders of cold-weather items, we find evidence of projection bias over the weather—specifically, people's decisions are overinfluenced by the current weather. Our estimates suggest that if the order-date temperature declines by 30°F, the return probability increases by 3.95 percent. We also estimate a structural model to measure the magnitude of the bias. (JEL D12, L81)
In this paper we estimate a simple Bayesian learning model to expectations data from the Survey of P...
The value of accurate weather forecast information is substantial. In this paper we examine competit...
The majority of documented climatic data set biases can be divided into two categories: physical bia...
People exaggerate the degree to which their future tastes will resemble their current tastes. We pre...
The relevance of projection bias in decision making processes has been widely studied, but not speci...
The consequences of many economic decisions only materialize in the future. To make informed choices...
This paper investigates the issue of rational expectations using inflation forecasts from the Survey...
Periodic demand forecasts are the primary planning and coordination mechanism within organizations. ...
Past research has revealed a trend effect when people are faced with a revised probabilistic forecas...
A comparison of the point forecasts and the probability distributions of inflation and output growth...
The changing global climate is producing increasingly unusual weather relative to preindustrial cond...
Theories of expectations formation sometimes suppose that agents make efficient forecasts given thei...
The projection bias corresponds to the human tendency to project current preferences into the future...
This dissertation examines consumers\u27 ability to accurately anticipate the hedonic value they wil...
Recent research has suggested that the upward bias of the U.S. consumer price index may be significa...
In this paper we estimate a simple Bayesian learning model to expectations data from the Survey of P...
The value of accurate weather forecast information is substantial. In this paper we examine competit...
The majority of documented climatic data set biases can be divided into two categories: physical bia...
People exaggerate the degree to which their future tastes will resemble their current tastes. We pre...
The relevance of projection bias in decision making processes has been widely studied, but not speci...
The consequences of many economic decisions only materialize in the future. To make informed choices...
This paper investigates the issue of rational expectations using inflation forecasts from the Survey...
Periodic demand forecasts are the primary planning and coordination mechanism within organizations. ...
Past research has revealed a trend effect when people are faced with a revised probabilistic forecas...
A comparison of the point forecasts and the probability distributions of inflation and output growth...
The changing global climate is producing increasingly unusual weather relative to preindustrial cond...
Theories of expectations formation sometimes suppose that agents make efficient forecasts given thei...
The projection bias corresponds to the human tendency to project current preferences into the future...
This dissertation examines consumers\u27 ability to accurately anticipate the hedonic value they wil...
Recent research has suggested that the upward bias of the U.S. consumer price index may be significa...
In this paper we estimate a simple Bayesian learning model to expectations data from the Survey of P...
The value of accurate weather forecast information is substantial. In this paper we examine competit...
The majority of documented climatic data set biases can be divided into two categories: physical bia...