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We propose a new and simple methodology to estimate the loss function associated with experts' forecasts. Under the assumption of conditional normality of the data and the forecast distribution, the asymmetry parameter of the lin-lin and linex loss function can easily be estimated using a linear reg
We propose a new and simple methodology to estimate the loss function associated with experts' forecasts. Under the assumption of conditional normality of the data and the forecast distribution, the asymmetry parameter of the lin-lin and linex loss function can easily be estimated using a linear reg
This paper deals with the analysis and evaluation of sales forecasts of managers, given that it is unknown how they constructed their forecasts. Our goal is to find out whether these forecasts are rational. To examine deviations from rationality, we argue that one has to approximate how the managers
We examine the impact of mobile telephone use on economic development of individual households. Unique cross-sectional data were collected in personal interviews with heads of households (N=196) in Uganda. Economic development is measured at the household level by the Progress out of Poverty Index.
In this paper we examine two hypotheses concerning emigration. The first hypothesis is that emigration is positively correlated with wage differentials. The second hypothesis concerns a positive correlation between emigration and higher education in the sending country (the so-called brain gain hypo
Using a unique dataset collected through a well-established survey, which was carried out in China, we examine whether Chinese individuals are prone to money illusion. In contrast to the outcomes for US individuals, we find that the Chinese are more likely to base decisions on the real monetary valu
Experts can rely on statistical model forecasts when creating their own forecasts. Usually it is not known what experts actually do. In this paper we focus on three questions, which we try to answer given the availability of expert forecasts and model forecasts. First, is the expert forecast related
Experts can rely on statistical model forecasts when creating their own forecasts. Usually it is not known what experts actually do. In this paper we focus on three questions, which we try to answer given the availability of expert forecasts and model forecasts. First, is the expert forecast related
To assess the attitudes with respect to the quality of banks’ service levels, we use survey data amongst more than 250 Chief Financial Officers (CFOs) of a range of Netherlands-based companies. These companies range from small to very large (including multinationals as Philips and Shell) companies.
We analyze the behavior of experts who quote forecasts for monthly SKU-level sales data where we compare data before and after the moment that experts received different kinds of feedback on their behavior. We have data for 21 experts located in as many countries who make SKU-level forecasts for a v
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