Why do growth rates differ? This paper surveys the recent empirical literature on economic growth, starting with a discussion of stylized facts, data problems, and statistical methods. Six research questions are emphasized, drawing on growth and convergence research. In answering these questions, the paper argues that efficiency has grown at different rates across countries, casting doubt on neoclassical models in which technology is a public good. The latter half of the paper rounds up a variety of findings before providing answers to all six questions, including a short summary of how differences in growth rates arise.

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The conventional wisdom is that postwar economic growth has been unpredictable. In the 1960s few observers accurately forecast which countries would grow quickly. In this paper we show that indexes of social development constructed in the early 1960s have considerable predictive power. These results indicate the importance of ''social capability'' for economic growth. We emphasize that social arrangements matter for reasons beyond those discussed in recent work on trust and social capital. However, we are also able to show that one of the indexes may be a useful proxy for social capital in developing countries.

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This paper surveys the empirical literature on the growth effects of education and social capital. The main focus is on the cross-country evidence for the OECD countries, but the paper also briefly reviews evidence from labour economics, to clarify where empirical work on education using macro data may be relatively useful. It is argued that on balance, the recent cross-country evidence points to productivity benefits of education that are at least as large as those identified by labour economists. The paper also discusses the implications of this finding. Finally, the paper reviews the emerging literature on the benefits of social capital. Since this literature is still in its early days, policy conclusions are accordingly harder to find.

This paper examines the structural determinants of output volatility in developing countries, and especially the roles of geography and institutions. We investigate the volatility effects of market access, climate variability, the geographic predisposition to trade, and various measures of institutional quality. We find an especially important role for market access: remote countries are more likely to have undiversified exports and to experience greater volatility in output growth. Our results are based on Bayesian methods that allow us to address formally the problem of model uncertainty and to examine robustness across a wide range of specifications.

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The paper discusses three econometric problems that are rarely given adequate discussion in textbooks: model uncertainty, parameter heterogeneity, and outliers. Leamer's extreme bounds analysis can be adapted to address all three problems simultaneously. Two examples are presented based on an influential crosscountry growth paper by Levine and Renelt (American Economic