Diagnostics before Prescription
Author(s) -
Dani Rodrik
Publication year - 2010
Publication title -
the journal of economic perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.614
H-Index - 196
eISSN - 1944-7965
pISSN - 0895-3309
DOI - 10.1257/jep.24.3.33
Subject(s) - blueprint , context (archaeology) , eclecticism , constraint (computer aided design) , process (computing) , pragmatism , computer science , categorical variable , law and economics , economics , operations research , management science , engineering , epistemology , machine learning , history , mechanical engineering , philosophy , archaeology , operating system
Development economists should stop acting as categorical advocates (or detractors) for specific approaches to development. They should instead be diagnosticians, helping decisionmakers choose the right model (and remedy) for their specific realities, among many contending models (and remedies). In this spirit, Ricardo Hausmann, Andres Velasco, and I have developed a "growth diagnostics" framework that sketches a systematic process for identifying binding constraints and prioritizing policy reforms in multilateral agencies and bilateral donors. Growth diagnostics is based on the idea that not all constraints bind equally and that a sensible and practical strategy consists of identifying the most serious constraint(s) at work. The practitioner works with a decision tree to do this. The second step in growth diagnostics is to identify remedies for relaxing the constraint that are appropriate to the context and take cognizance of potential second-best complications. Successful countries are those that have implemented these two steps in an ongoing manner: identify sequentially the most binding constraints and remove them with locally suited remedies. Diagnostics requires pragmatism and eclecticism, in the use of both theory and evidence. It has no room for dogmatism, imported blueprints, or empirical purism.
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