The ranking of scientific journals is important because of the signal it sends to scientists about what is considered most vital for scientific progress. Existing ranking systems focus on measuring the influence of a scientific paper (citations)—these rankings do not reward journals for...

Choices are frequently made from lists where there is by necessity some ordering of options. In such situations individuals can exhibit both primacy bias towards the first option and recency bias towards the last option. We examine this phenomenon in a particularly interesting context: consumer...

The quot;Easterlin paradoxquot; suggests that there is no link between a society's economic development and its average level of happiness. We re-assess this paradox analyzing multiple rich datasets spanning many decades. Using recent data on a broader array of countries, we establish a clear...

I search for a %u201Cscale%u201D effect in countries. I use a panel data set that includes 200 countries over forty years and link the population of a country to a host of economic and social phenomena. Using both graphical and statistical techniques, I search for an impact of size on the level...

Cloud computing—computing done on an off-site network of resources accessed through the Internet—is revolutionizing how computing services are used. However, because cloud is so new and it largely is an intermediate input to other industries, it is difficult to track in the U.S. statistical...

While the Sharpe ratio is still the dominant measure for ranking risky assets, a substantial effort has been made over the past three decades to find a way to account for non-Normally distributed risks. This paper derives a generalized ranking measure which, under a regularity condition,...

We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables empirically contribute to the resulting rank, and population and spatial correlation are incorporated into a measure of uncertainty. We use county-level data from Texas and Wisconsin...