Published on RegBlog; coauthored with Patrick McLaughlin
Economic theory alone is incapable of resolving many of the controversies over optimal government regulation; therefore, sound empirical projects must play critical role in helping societies respond effectively to challenges like financial sector reform and climate change. To advance the empirical study of industry regulation, we have developed the first meaningful numerical dataset of U.S. federal regulation, covering a period from 1997 to 2012. Continue
Published in RegBlog, coauthored with Patrick McLaughlin
How much should governments regulate? Economists attach huge significance to this question because the difference between rich and poor countries can be affected by variation in government quality, especially the extent to which the legal system protects property and encourages innovation and investment. But answering this question has been difficult due to limitations both in economic theory and available data. We have created a new dataset that can help overcome the limits in available data. Continue.
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