SIER Working Paper Series

131 Income Volatility and Portfolio Choices

  • Yongsung Chang, Jay. H. Hong, Marios Karabarbounis, Yicheng Wang
  • 131.pdf

Abstract

Based on administrative data from Statistics Norway, we fi nd economically significant shifts in households' financial portfolios around structural breaks in income volatility. When the standard deviation of labor-income growth doubles, the share of risky assets decreases by 4 percentage points. We ask whether this estimated marginal effect is consistent with a standard model of portfolio choice with idiosyncratic volatility shocks. The standard model generates a much more aggressive portfolio response than we see in the data. We show that Bayesian learning about the underlying volatility regime can reconcile the gap between the model and the data.
Keywords: Income Volatility; Portfolio Choice; Risky Share; Bayesian Learning;
JEL classification: E2; G1; J3