Europe > Norway

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Mantas Dirma
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Jaunius Karmelavičius
Despite having introduced borrower-based measures (BBM), Lithuania's housing and mortgage markets were booming during the low-interest-rate period, casting doubt on the macroprudential toolkit's ability to contain excessive mortgage growth. This paper assesses the adequacy of BBMs’ parametrization in Lithuania. We do so by building a novel lifetime expected credit loss framework that is founded on actual loan-level default and household income data. We show that the BBM package effectively contains mortgage credit risk and that housing loans are more resilient to stress than in the preregulatory era. Our BBM limit calibration exercise reveals that (1) in the low-rate environment, income-based measures could have been tighter; and (2) borrowers taking out secondary mortgages rightly are and should be required to pledge a higher down payment.
Mr. Mike Seiferling
This paper re-examines the stock-flow discrepancies of government debt and deficits and correlation with fiscal transparency. Applying the fully integrated relationship between financial stocks and flows allows for a more refined analysis of the deterministic components that make up the ‘stock-flow’ residual. Using partial measures of these stock-flow residuals, several empirical studies have found them to be significantly correlated with fiscaltransparency, inflation, fiscal rules, and banking crisis. Using fully integrated public finance data from the IMF Government Finance Statistics Yearbook for a sample of 22 countries, the findings in this paper suggest that stock-flow residuals have a significantly smaller magnitude than previously assumed and are, in fact, not correlated with fiscal transparency. A stronger determinant of fiscal transparency scores appears to be the actual reporting of fiscal data covering general government, especially a full financial balance sheet.
Hilde C. Bjørnland
This paper estimates core inflation in Norway, identified as that component of inflation that has no long-run effect on GDP. The model distinguishes explicitly between domestic and imported core inflation. The results show that (domestic) core inflation is the main component of CPI inflation. CPI inflation, however, misrepresents core inflation in some periods. The differences are well explained by the other shocks identified in the model, in particular the oil price shocks of the 1970s when Norway imported inflation, and the negative noncore (supply) shocks of the late 1980s, which pushed inflation up temporarily relative to core inflation.