1,720,955 research outputs found
“Full House”: An Examination of Initial Public Offerings and Housing Market Outcomes in Proximity to Firm Headquarters
No full textAn initial public offering (IPO) is often considered the pinnacle of wealth creation in the U.S. With each year, analysts rave over the latest multi-billion-dollar company and their stock listing on public exchanges for the first time. In 2018, Wall Street Journal and New York Times journalists gushed over the 82.4 billion IPO of ride-hailing giant Uber. However, this overwhelming enthusiasm relating to IPOs has allowed the externalities they produce to go unnoticed, particularly those in the housing market. This paper implements an event study methodology to estimate the effects of an IPO event on housing market outcomes. Among the principal findings are that IPOs cause statistically significant home price and rent growth in housing markets near firm headquarters. Furthermore, we find that price growth after the listing date results in tangible welfare losses for in-place renters. However, we find that these results are most apparent after the listing date rather than the unlock date, as stock prices may be unfavorable for insider selling after the unlock date. We propose multiple justifications for the significance of the relationship. First, post-IPO liquidity of firm insiders allows them to purchase real estate near firm headquarters, placing upward pressure on prices in the process. Second, post-IPO hiring draws entry-level workers to local housing markets, raising demand for rental units and driving up rents as well. Finally, in- place renters, who are already financially vulnerable, bear an outsized burden from growth in their monthly payments
“Full House”: An Examination of Initial Public Offerings and Housing Market Outcomes in Proximity to Firm Headquarters
No full textAn initial public offering (IPO) is often considered the pinnacle of wealth creation in the U.S. With each year, analysts rave over the latest multi-billion-dollar company and their stock listing on public exchanges for the first time. In 2018, Wall Street Journal and New York Times journalists gushed over the 82.4 billion IPO of ride-hailing giant Uber. However, this overwhelming enthusiasm relating to IPOs has allowed the externalities they produce to go unnoticed, particularly those in the housing market. This paper implements an event study methodology to estimate the effects of an IPO event on housing market outcomes. Among the principal findings are that IPOs cause statistically significant home price and rent growth in housing markets near firm headquarters. Furthermore, we find that price growth after the listing date results in tangible welfare losses for in-place renters. However, we find that these results are most apparent after the listing date rather than the unlock date, as stock prices may be unfavorable for insider selling after the unlock date. We propose multiple justifications for the significance of the relationship. First, post-IPO liquidity of firm insiders allows them to purchase real estate near firm headquarters, placing upward pressure on prices in the process. Second, post-IPO hiring draws entry-level workers to local housing markets, raising demand for rental units and driving up rents as well. Finally, in- place renters, who are already financially vulnerable, bear an outsized burden from growth in their monthly payments
“Full House”: An Examination of Initial Public Offerings and Housing Market Outcomes in Proximity to Firm Headquarters
No full textAn initial public offering (IPO) is often considered the pinnacle of wealth creation in the U.S. With each year, analysts rave over the latest multi-billion-dollar company and their stock listing on public exchanges for the first time. In 2018, Wall Street Journal and New York Times journalists gushed over the 82.4 billion IPO of ride-hailing giant Uber. However, this overwhelming enthusiasm relating to IPOs has allowed the externalities they produce to go unnoticed, particularly those in the housing market. This paper implements an event study methodology to estimate the effects of an IPO event on housing market outcomes. Among the principal findings are that IPOs cause statistically significant home price and rent growth in housing markets near firm headquarters. Furthermore, we find that price growth after the listing date results in tangible welfare losses for in-place renters. However, we find that these results are most apparent after the listing date rather than the unlock date, as stock prices may be unfavorable for insider selling after the unlock date. We propose multiple justifications for the significance of the relationship. First, post-IPO liquidity of firm insiders allows them to purchase real estate near firm headquarters, placing upward pressure on prices in the process. Second, post-IPO hiring draws entry-level workers to local housing markets, raising demand for rental units and driving up rents as well. Finally, in- place renters, who are already financially vulnerable, bear an outsized burden from growth in their monthly payments
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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