作者: Florian Teschner , Henner Gimpel
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摘要: Crowd labor markets such as Amazon Mechanical Turk (MTurk) have emerged popular platforms where researchers can inexpensively run web-based experiments. Recent work even suggests that MTurk be used to large-scale field experiments prediction in which participants interact synchronously real-time. Besides technical issues, several methodological questions arise and lead the question of how results from laboratory compare. In this we provide first insights into running market on compare key property markets, information efficiency, a setting. The are mixed at best. On MTurk, aggregation took place less frequently than lab. Our suggest cannot handle much complexity time-pressured, synchronized