1. New Directions in Macroeconomics
- Author:
- Gillian Brunet
- Publication Date:
- 07-2021
- Content Type:
- Policy Brief
- Institution:
- Economics for Inclusive Prosperity (EfIP)
- Abstract:
- Without being overly prescriptive, macro research must meet two standards to keep the field moving in a productive direction: models must be tested empirically and researchers must think carefully about how underlying assumptions restrict the set of questions that can be answered with a given model. Models move knowledge forward through rigorous empirical testing. Matching moments in model calibration is not enough—nor should it be considered true empirics. When economics is done well, theory and empirics are complements: empirical research disciplines models and theory disciplines empirical research. In recent decades, macro research has tilted very heavily towards theory, forgoing the feedback generated by rigorous empirical testing and, as a consequence, dramatically reducing the ratio of insight to effort. Macro as a field must value empirical contributions to flourish fully. There has been significant progress in the last decade, but the balance still tilts heavily towards theory. Macroeconomists must stop dismissing empirical contributions as trivial for macro theory to reach its potential. It’s not an accident that many of today’s best macroeconomists stand out for their work in both theory and empirics: empirical work disciplines their theoretical research. Over the past 40-50 years, research in short-run macroeconomics has focused on the goal of creating unified, internally consistent models of the macroeconomy. While this is a worthy goal, it has perhaps become too dominant—and imposes hidden costs on research. The emphasis on developing a central baseline model to which idiosyncratic features are added for addressing a specific problem discourages many researchers from considering the suitability of the underlying model to the specific question being asked. As economists we are taught that every model is a simplification, so that the relevant question is not whether a model is good or bad but whether it is good or bad for answering a specific question. Yet choosing a single baseline model of the macroeconomy tends to obscure the closeness of the relationship between the model and the question it is used to answer. Often macroeconomists think carefully about the relationship between their question and the idiosyncratic features they add to the baseline model, but many of the assumptions underlying the baseline model become invisible and thus unquestioned. This is understandable given the complexity of modern macro models, but it has high costs. More careful consideration of the assumptions underlying baseline models and their appropriateness to individual research questions can help move the field forward.
- Topic:
- Economics, Political Economy, Macroeconomics, and Models
- Political Geography:
- United States