Victor Yakovenko, University of Maryland By analogy with the probability distribution of energy in statistical physics, I argue that the probability distribution of money in a closed economic system sh, Reviews of Modern Physics 81, 1703 (2009), New Journal of Physics 12, 075032 (2010).  This work is currently supported by the Institute for New Economic Thinking,

This article addresses the matter of “urban spillover” in rural population development, i.e. how urban localities tend to push a ring of diffuse urban growth outwards as they expand in area. The data

2012. Journal of the Royal Statistical Society175:191-216.

Olle Häggström

I am a professor of mathematical statistics at Chalmers University of Technology and a board member of the Royal Swedish Academy of Sciences (KVA) and of the Royal Swedish Academy of Engineering Science

Irina Vartanova

In my research, I use survey data, such as World Values Survey, to study social norms and their change in different cultures. At the Institute, I work with Pontus Strimling and Kimmo Eriksson on a project

Dean Spears

I am Assistant Professor of Economics at the University of Texas at Austin and Executive Director at Research Institute for Compassionate Economics. I am also visiting economist at Indian Statistical

Educational and Psychological Measurement, Vol. 77 (2017), 4, p. 616-630. Abstract Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are a number of ways i

Within which occupations is discrimination of applicants by ethnicity more common? We examine differences in discrimination and seek knowledge about what mechanisms lie behind this.

The purpose of this paper is to study the long term effects of the college-to-work transition. The results reveal that unemployment immediately upon graduation has substantial and permanent effects on

Hydrogeology Journal 25(4) pp. 1077-1091, doi: 10.1007/s10040-016-1504-x Abstract This study developed methodology for statistically assessing groundwater contamination mechanisms. It focused on microbiahumanitarian aid organisation Médecins Sans Frontières in 2010. The factors included hydrogeological settings, land use and socio-economic characteristics. The results showed that the residuals of a conventional probit regression model had a significant positive spatial autocorrelation (Moran’s I =3.05, I-stat = 9.28); therefore, a spatial model was developed that had better goodness-of-fit to the observations. The mostsignificant factor in this model (p-value 0.005) was the distance from a water source to the nearest Tukul area, an area with informal settlements that lack sanitation services. It is thus recommended that future remediation and monitoring efforts in the city be concentrated in such low-income regions. The spatial model differed from the conventional approach: in contrast with the latter case, lowland topography was not significant at the 5% level, as the p-value was 0.074 in the spatial model and 0.040 in the traditional model. This study showed that statistical risk-factor assessments of groundwater contamination need to consider spatial interactions when the water sources are located close to each other. Future studies might further investigate the cut-off distance that reflects spatial autocorrelation. Particularly, these results advise research on urban groundwater quality.