2012/11/07 by Ayman Farahat, Nesreen K. Ahmed, Nesreen Ahmed +5
Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · Mathematics · #Applications (stat.AP) #Computational Engineering #Consumer Market Behavior and Pricing #Customer churn and segmentation #FOS: Computer and information sciences #Finance #Firm Innovation and Growth #and Science (cs.CE) #cs.CE #stat.AP
paper · pdf · doi:10.48550/arxiv.1211.1694
arxiv created 2012/11/07 · openalex publication_date 2012/11/07 · arxiv updated 2012/11/09 · openalex created_date 2022/09/19 · openalex updated_date 2026/07/28
In the last four years, daily deals have emerged from nowhere to become a multi-billion dollar industry world-wide. Daily deal sites such as Groupon and Livingsocial offer products and services at deep discounts to consumers via email and social networks. As the industry matures, there are many questions regarding the impact of daily deals on the marketplace. Important questions in this regard concern the reasons why businesses decide to offer daily deals and their longer-term impact on businesses. In the present paper, we investigate whether the unobserved factors that make marketers run daily deals are correlated with the unobserved factors that influence the business, In particular, we employ the framework of seemingly unrelated regression to model the correlation between the errors in predicting whether a business uses a daily deal and the errors in predicting the business' survival. Our analysis consists of the survival of 985 small businesses that offered daily deals between January and July 2011 in the city of Chicago. Our results indicate that there is a statistically significant correlation between the unobserved factors that influence the business' decision to offer a daily deal and the unobserved factors that impact its survival. Furthermore, our results indicate that the correlation coefficient is significant in certain business categories (e.g. restaurants).