The demographics of global corporate champions

This Working Paper presents a novel dataset documenting the demographics of the worldâ??s 500 largest companies by market capitalisation.The data illustrate a stark contrast between the main global economic regions. In Europe and Japan, large companies tend to be fairly old. In the United States, older champions coexist with a significant number of new ones. In emerging economies, most champions were born in the second half of the 20th century and reflect a rapid catch-up growth process.

Competition and demographics

Mainstream economics views demographic changes in the structure of households as of little relevance for the behavior of firms or the functioning of markets. The present paper dispels this view by arguing that changes in the number of non-workers could affect the intensity with which consumers search for best prices and therefore the level of competition. The author also analyzes the relationship between income and competition, which some studies suggest is negative. The author argues that the negative relationship is most likely due to the demographic factors discussed.Markets and Market Access,Education for Development (superceded),Economic Theory&Research,Labor Policies,Emerging Markets

Comparing Simple Quasar Demographics Models

This paper explores several simple model variations for the connections among quasars, galaxies, and dark matter halos for redshifts 1 < z < 6. A key component of these models is that we enforce a self-consistent black hole (BH) history by tracking both BH mass and BH growth rate at all redshifts. We connect objects across redshift with a simple constant-number-density procedure, and choose a fiducial model with a relationship between BH and galaxy growth rates that is linear and evolves in a simple way with redshift. Within this fiducial model, we find the quasar luminosity function (QLF) by calculating an "intrinsic" luminosity based on either the BH mass or BH growth rate, and then choosing a model of quasar variability with either a lognormal or truncated power-law distribution of instantaneous luminosities. This gives four model variations, which we fit to the observed QLF at each redshift. With the best-fit models in hand, we undertake a detailed comparison of the four fiducial models, and explore changes to our fiducial model of the BH-galaxy relationship. Each model variation can successfully fit the observed QLF, the shape of which is generally set by the "intrinsic" luminosity at the faint end and by the scatter due to variability at the bright end. We focus on accounting for the reasons that physically different models can make such similar predictions, and on identifying what observational data or physical arguments are most essential in breaking the degeneracies among models.Comment: 14 pages, 8 figures, 1 tabl

Demographics in demand systems

Household composition can be expected to affect the allocation of household expenditure among goods, at the very least because of economies of scale as household size increases and because different people have different needs (adults versus children, for example). Specifying demographic effects correctly in demand analysis is important both in order to estimate correct price and expenditure elasticities and for the purpose of making household welfare comparisons. A common way of including demographics is as a function that scales total expenditure, and to make this scaling function indepen- dent of the level of total expenditure. A popular method in the parametric estimation of demand systems is to estimate share equations that are quadratic in the logarithm of total expenditure, but there is also a substantial literature on the semi-parametric estimation of Engel curves. We employ some of these semi-parametric techniques to show that, for some goods, further terms are likely to be required in the Engel curve addition to quadratic terms. We use this to identify the parameters of a scaling function that varies with total expenditure. Keywords: Demand analysis, demographics, base independence, semi-parametric.Demand analysis, demographics, base independence, semi-parametric

The Demographics of Long-Period Comets

The absolute magnitude and perihelion distributions of long-period comets are derived, using data from the Lincoln Near-Earth Asteroid Research (LINEAR) survey. The results are surprising in three ways. Firstly, the flux of comets through the inner solar system is much lower than some previous estimates. Secondly, the expected rise in comet numbers to larger perihelia is not seen. Thirdly, the number of comets per unit absolute magnitude does not significantly rise to fainter magnitudes. These results imply that the Oort cloud contains many fewer comets than some previous estimates, that small long-period comets collide with the Earth too infrequently to be a plausible source of Tunguska-style impacts, and that some physical process must have prevented small icy planetesmals from reaching the Oort cloud, or have rendered them unobservable. A tight limit is placed on the space density of interstellar comets, but the predicted space density is lower still. The number of long-period comets that will be discovered by telescopes such as SkyMapper, Pan-Starrs and LSST is predicted, and the optimum observing strategy discussed.Comment: Accepted for publication in Astrophysical Journal. 22pages, 14 figure

Gender Demographics and Perception in Librarianship

This article is an examination of the history of gender demographics in the field of librarianship. The historic development and subsequent feminization of librarianship continues to influence the gender wage gap and the disproportionate leadership bias in the field today. This article examines the stereotyping of librarians and the cyclical effect of genderizing the profession. Consideration of current trends and data in librarian demographics demonstrates a consistent decrease in gender diversity, accompanied by a troubling lack of women leaders and executives. Additionally, this article explores options for combating the gender perceptions that negatively impact women in library and information science fields, including management and negotiation training in graduate programs, increased emphasis on technological skills, and professional organization advocacy

Emotions, Demographics and Sociability in Twitter Interactions

The social connections people form online affect the quality of information they receive and their online experience. Although a host of socioeconomic and cognitive factors were implicated in the formation of offline social ties, few of them have been empirically validated, particularly in an online setting. In this study, we analyze a large corpus of geo-referenced messages, or tweets, posted by social media users from a major US metropolitan area. We linked these tweets to US Census data through their locations. This allowed us to measure emotions expressed in the tweets posted from an area, the structure of social connections, and also use that area's socioeconomic characteristics in analysis. %We extracted the structure of online social interactions from the people mentioned in tweets from that area. We find that at an aggregate level, places where social media users engage more deeply with less diverse social contacts are those where they express more negative emotions, like sadness and anger. Demographics also has an impact: these places have residents with lower household income and education levels. Conversely, places where people engage less frequently but with diverse contacts have happier, more positive messages posted from them and also have better educated, younger, more affluent residents. Results suggest that cognitive factors and offline characteristics affect the quality of online interactions. Our work highlights the value of linking social media data to traditional data sources, such as US Census, to drive novel analysis of online behavior.Comment: International Conference on the Web and Social Media (ICWSM2016

The demographics of fund turnover

This article documents various demographic factors which influence mutual fund turnover including managerial experience, location, education, and gender. On average, funds in financial centers trade more but this excess turnover declines with experience. While most extra trading is concentrated among less experienced managers in financial centers, they do not outperform inexperienced managers located in smaller towns. Furthermore, managers in financial centers increase trading after good performance. This result is particularly strong for inexperienced, more educated male fund managers investing in growth stocks and located in New York. Our results provide strong evidence that demographic factors influence fund manager trading behavior.Labor market; Mutual funds; Overconfident trading; Performance evaluation