论文标题
一种实用的社会学习方法
A Practical Approach to Social Learning
论文作者
论文摘要
社会学习的模型二进制信号或抽象信号结构通常被剥夺了微观发现。在分析临时结果或进行经验分析时，这两个模型都受到限制。我们提出了一种生成比二元模型更丰富的信号结构的方法，但足够易于进行模拟和经验分析。我们通过重新审视两篇古典论文来证明该方法的可用性：（1）我们讨论了无限信号Smith and Sorensen（2000）的经济意义； （2）我们使用Anderson和Holt（1997）的实验数据进行计量经济学分析。此外，我们为发生级联反应提供了必要和充分的条件。
Models of social learning feature either binary signals or abstract signal structures often deprived of micro-foundations. Both models are limited when analyzing interim results or performing empirical analysis. We present a method of generating signal structures which are richer than the binary model, yet are tractable enough to perform simulations and empirical analysis. We demonstrate the method's usability by revisiting two classical papers: (1) we discuss the economic significance of unbounded signals Smith and Sorensen (2000); (2) we use experimental data from Anderson and Holt (1997) to perform econometric analysis. Additionally, we provide a necessary and sufficient condition for the occurrence of action cascades.
