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AbstractWe use matched point and density forecasts of output growth and infl ation from the ECB Survey of Professional Forecasters to derive measures of forecast uncertainty, forecast dispersion, and forecast accuracy. We construct uncertainty measures from aggregate density functions as well as from individual histograms. The uncertainty measures display countercyclical behavior, and there is evidence of increased uncertainty for output growth and infl ation since 2007. The results also indicate that uncertainty displays a very weak relationship with forecast dispersion, corroborating the fi ndings of other recent studies indicating that disagreement is not a valid proxy for uncertainty. In addition, we fi nd no correspondence between movements in uncertainty and predictive accuracy, suggesting that time-varying conditional variance estimates may not provide a reliable proxy for uncertainty. Last, using a regression equation that can be interpreted as a (G)ARCH-M-type model, we fi nd limited evidence of linkages between uncertainty and levels of infl ation and output growth.
We use quasi-random access to the Home Affordable Refinance Program (HARP) to identify the causal effect of refinancing into a lower-rate mortgage on borrower balance sheet outcomes. Refinancing substantially reduces borrower default rates on mortgages and other debt. Refinancing also causes borrowers to expand their use of debt instruments, such as auto loans, home equity lines, and other consumer debts that are proxies for spending. Borrowers that appear more constrained ex ante grow these debts more strongly after refinancing but also pay down credit card balances by more. These borrowers also have lower take-up of the refinancing opportunity. (JEL G51, G21, E52)
We use quasi-random access to the Home Affordable Refinance Program (HARP) to identify the causal effect of refinancing a mortgage on borrower balance sheet outcomes. We find that on average, refinancing into a lower-rate mortgage reduced borrowers' default rates on mortgages and nonmortgage debts by about 40 percent and 25 percent, respectively. Refinancing also caused borrowers to expand their use of debt instruments, such as auto loans, home equity lines of credit (HELOCs), and other consumer debts that are proxies for spending. All told, refinancing led to a net increase in debt equal to about 20 percent of the savings on mortgage payments. This number combines increases (new debts) of about 60 percent of the mortgage savings and decreases (paydowns) of about 40 percent of those savings. Borrowers with low FICO scores or low levels of unused revolving credit grow their auto and HELOC debt more strongly after a refinance but also reduce their bank card balances by more. Finally, we show that take-up of the refinancing opportunity was strongest among borrowers that were in a relatively better financial position to begin with.
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