Identification of causal effects in the context of mass collaboration

O Slivko, M Kummer, M Saam - Mass collaboration and education, 2016 - Springer
Mass collaboration and education, 2016Springer
Several instances of successful online mass collaboration have recently generated large
amounts of data. These datasets are very appealing for empirical research on patterns and
drivers of mass collaboration in a wide range of social science disciplines. However, their
complexity, the presence of network effects, and multidirectional nature of the causal
mechanisms at play often raise substantial challenges to empirical researchers. In this
chapter, we discuss the econometric approach to mass collaboration, focusing on the …
Abstract
Several instances of successful online mass collaboration have recently generated large amounts of data. These datasets are very appealing for empirical research on patterns and drivers of mass collaboration in a wide range of social science disciplines. However, their complexity, the presence of network effects, and multidirectional nature of the causal mechanisms at play often raise substantial challenges to empirical researchers. In this chapter, we discuss the econometric approach to mass collaboration, focusing on the methodological challenges of causal identification and the interpretation of how some factors affect others. Our chapter provides methodological tools for causal identification of effects in observational data from mass collaboration platforms. Specifically, we present two quasi-experimental methods, natural experiments and instrumental variables, in detail and show applications using examples from our own research.
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