Replication data for: Some Evidence on Secular Drivers of US Safe Real Rates

Summary:  View help for Summary We study long-run correlations between safe real interest rates in the United States and over 30 variables that have been hypothesized to influence real rates. The list of variables is motivated by an intertermporal IS equation, by models of aggregate savings and investment, and by reduced-form studies. We use annual data, mostly from 1890 to 2016. We find that safe real interest rates are correlated as expected with demographic measures. For example, the long-run correlation with labor force hours growth is positive, which is consistent with overlapping generations models. For another example, the long-run correlation with the proportion of 40 to 64 year-olds in the population is negative. This is consistent with standard theory where middle-aged workers are high savers who drive down real interest rates. In contrast to standard theory, we do not find productivity to be positively correlated with real rates. Most other variables have a mixed relationship with the real rate, with long-run correlations that are statistically or economically large in some samples and by some measures but not in others.

JEL Classification:  View help for JEL Classification
      E21 Macroeconomics: Consumption; Saving; Wealth
      E22 Investment; Capital; Intangible Capital; Capacity
      E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
      E43 Interest Rates: Determination, Term Structure, and Effects
      E52 Monetary Policy