32 resultados para 1402 Applied Economics


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It is still debatable whether scientific diversity is a virtue or a disadvantage for the development of a discipline. Nonetheless, diversity among scientists with respect to their journal quality perceptions plays an important role in hiring and promotion decisions. In this article we examine the degree of diversity within economics based on the journal quality perceptions of 2,103 AEA economists worldwide. Specifically, we empirically test for factors that might explain differences in an economist's journal quality perceptions. These factors include an economist's geographic origin, school of thought, journal affiliation, field of specialization and research orientation. Indeed, we find that a significant degree of diversity in journal quality perceptions exists between economists that belong in different subgroups. These results might explain the frequent debates in tenure and promotion committees where journal standings are used for the evaluation of a researcher's output.

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In order to generate sales promotion response predictions, marketing analysts estimate demand models using either disaggregated (consumer-level) or aggregated (store-level) scanner data. Comparison of predictions from these demand models is complicated by the fact that models may accommodate different forms of consumer heterogeneity depending on the level of data aggregation. This study shows via simulation that demand models with various heterogeneity specifications do not produce more accurate sales response predictions than a homogeneous demand model applied to store-level data, with one major exception: a random coefficients model designed to capture within-store heterogeneity using store-level data produced significantly more accurate sales response predictions (as well as better fit) compared to other model specifications. An empirical application to the paper towel product category adds additional insights. This article has supplementary material online.