Using detailed edit-level data over eight years across a large number of articles on Wikipedia, we find evidence for a positive spillover effect in editing activity. Cumulative past contributions, embodied by the current article length, lead to significantly more editing activity, while...

Using detailed edit-level data over eight years across a large number of articles on Wikipedia, we find evidence for a positive spillover effect in editing activity. Cumulative past contributions, embodied by the current article length, lead to significantly more editing activity, while...

Without the 'spillover effects' of open content production, the growth in Wikipedia editing activity between 2002 and 2010 would have been halved. That is the central finding of research by Aleksi Aaltonen and Stephan Seiler, which analyses editing data by Wikipedia users to show how content...

The ubiquity of digital technology and the increasing amount of data stored in organizational IT systems make cybersecurity a critical issue to many businesses. To harden their systems against data breaches, companies have started to use bug bounty programs to involve outsiders in helping to...

This paper draws from graph theory to develop an approach for modeling empirical research processes. The proposed approach is based on minimal assumptions about empirical research, which makes it intendedly agnostic of any particular method or field of study. I merely assume that empirical...

The familiar ’five-star’ ratings and reviews system makes it easy for consumers to use product evaluations across competing platforms to choose the product or service that is most likely to match their preferences. However, the ability to easily shop around for ratings and reviews raises a...

We analyze structural state dependence in brand choice using variation from brand switching during stock-outs caused by hurricanes. We derive a simple test for structural state dependence based on the time-series of choice persistence for households affected by the stock-outs. Using data from...

We provide a detailed overview of the empirical implementation of the sequential search model proposed by Weitzman (1979). We discuss the assumptions underlying the model, the identifica-tion of search cost and preference parameters, the necessary normalizations of utility parameters,...

We propose a demand estimation method that allows researchers to estimate substitution patterns from unstructured image and text data. We first employ a series of machine learning models to measure product similarity from products' images and textual descriptions. We then estimate a nested logit...