Macroeconomic development remains an important policy goal because of its ability to lift entire populations out of poverty. In our review of the literature, we emphasize that the best way to achieve this objective is to embrace a synthesis of methods and ideas, with the science of experiments as a unifying feature. Randomized controlled trials need representative data and structural modeling, and macro models need to be designed and disciplined to the realities and data of developing-country economies. Macroeconomic models have key lessons for gathering and analyzing micro evidence and for moving to an evaluation of macro policy. Resource constraints, heterogeneity, general equilibrium effects, obstacles to trade, dynamics, and returns to scale can all play key roles. A synthesis for macro development is well under way.

How is macroeconomic research conducted and what is it trying to accomplish? We explore these questions using information gleaned from 1,894 articles published in 10 leading journals. The emphasis on quantitative, computation-intensive theory-based analysis has grown over the past 40 years, while the use of econometric methods to test economic hypotheses has diminished. Applied micro techniques and micro data have displaced time series methods. Market imperfections are pervasive and financial frictions have received increasing attention in the past 10 years. The frequency with which non-macro JEL codes appear in macro articles indicates a great deal of overlap between macroeconomics and other fields.