Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper applies a widely-used class of quantitative trade models to evaluate the usefulness of measures of revealed comparative advantage (RCA) in academic and policy analyses. I find that, while commonly-used indexes are generally not consistent with theoretical notions of comparative advantage, certain indexes can be usefully employed for certain tasks. I explore several common uses of RCA indexes and show that different indexes are appropriate when attempting to (a) uncover countries' fundamental patterns of comparative advantage, (b) evaluate the differential effect of changes in trade barriers across producers of different products, or (c) identify countries who are relatively close competitors in a given market.