Browsing by Subject "Panel data"
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Item Essays on Investment Behavior in Online Social Platforms(2018-04) Deodhar, SwanandInterpersonal interactions have been the cornerstone of research in a variety of disciplines, including psychology, sociology, economics, and management. Naturally, any fundamental shift in this regard can have far-reaching research and practical implications. In the last decade or so, one such shift has been the emergence of online platforms. By building on the advances in the internet technologies, online platforms have emerged as the new routes for interactions between different social entities, ranging from individuals to governments. For instance, Facebook and MySpace allow individuals to form online social networks, share personal information through various forms of content, and create groups and communities. LinkedIn and GlassDoor extend the same functionalities to professional networks through which individuals can seek employment, know more about a potential employer, and review their current and past employers. Twitter allows users to share news at a speed that, at times, outperforms the traditional news media. The considerable variation in the activities, which online platforms facilitate is matched by the array of research questions that different literature streams have examined. For social psychologists, the central research question is how different stimuli ingrained in most human interactions play out in online platforms. As McFarland and Ployhart (2015) argue, this research question has a potential to not only theoretically distinguish online social platforms from traditional, offline social contexts but also formulate an extensive program for future research. Regarding interpersonal exchanges in organizational settings, research questions of interest include how online platforms shape the exchanges between internal as well as external stakeholders such as knowledge sharing among employees (Wu, 2013), and customer engagement using online platforms (Kumar et al., 2016). Next, scholars have also attempted to extend established economic mechanisms, including matching markets (Horton, 2014; Hitsch, Hortaçsu, and Ariely, 2010) and network effects (Katona, Zubcsek, and Sarvary, 2011) to online platforms. Lastly, by their very nature, online platforms align with the study of social networks. Kane et al. (2014) have posited a series of research questions, adopting the social network analysis (SNA) lens for studying online platforms. Evidently, online platforms have opened newer research avenues across multiple fields. The present dissertation contributes to this body of work. The increasing economic activity happening in the digital space is our primary motivation. Perhaps no other instance underscores this trend more than the online investment and financial platforms (Lee & Shin 2018). The rising prominence of these platforms is also reflected in the recent calls for research explicitly targeted towards “Fintech” (Gomber, Kauffman, & Weber 2015; Hendershott et al., 2017). Such platforms are particularly interesting because they allow users to carry out a personal activity in a highly visible and transparent setting. For instance, Venmo broadcasts a user’s personal transactions, including bill and rent payments to her network. Kiva and Prosper publicize the amount of money that each investor has given to a Crowdfunding campaign (Lin & Viswanathan 2015). Social trading platforms allow users to broadcast their investment decisions in stocks and Forex (Glaser & Risius, 2017). Clearly, one observes that personal investment decisions and actions are increasingly taking place in a social domain. Given this transition, it is worthwhile to examine whether and how a focal user’s investments are susceptible to other users’ investment actions and decisions (Burtch, Ghose, & Wattal, 2013). The dissertation addresses this question through a series of related empirical studies.Item International migration and remittances: assessing the impact on rural households in El Salvador.(2008-07) Damon, Amy LynneThis dissertation project examines the impact of human migration and remittances on rural household behavior in El Salvador. It specifically focuses on two questions: (1) How is household labor supply allocation affected by migration and remittances? (2) How do remittances affect agricultural production outcomes at the household level? An agricultural household model that integrates migration and remittances predicts that when households are credit constrained they allocate their family labor back to their own farm when remittances are received. Further, the agricultural model suggests that when remittances are received households will invest in the production of riskier cash crops. The data used for the empirical analysis for this project cover six years and were collected in El Salvador in 1996, 1998, 2000, and 2002. The empirical analysis uses panel data to examine how changes in both the migration status of the household and remittance levels affect different family members' labor allocations. Factors that determine both migration decisions and remittance levels are also estimated. Unlike previous studies, this study finds that it is migration not remittances that affects a family's labor allocation decisions. When a household engages in migration, this increases the hours of on-farm work for all household members (adult males, females, and children) and decreases the hours of off-farm work for adult males. Remittances have no significant affect on household labor allocations. Further, a cross-sectional analysis indicates that migrant females in the United States send more remittances than male migrants. Findings regarding household agricultural outcomes suggest that migration decreases a household's coefficient of variation for agricultural revenue. Further, migrant households dedicate a larger share of their land to their house lot and basic grains production than non-migrant households. Migrant households also decrease the amount of land dedicated to cash crops other than coffee. Migrant households are more active in land rental markets, both renting more land in and renting more land out than non-migrant households. Remittances seem to have relatively little impact on agricultural production activities as compared to migration itself.