This paper investigates whether the forecasting performance of Bayesian autoregressive and vector autoregressive models can be improved by incorporating prior beliefs on the steady state of the time series in the system. Traditional methodology is compared to the new framework-in which a...

In this paper, we study revisions of Swedish national accounts data. Three aspects of the revisions are considered: volatility, unbiasedness and forecast efficiency. Our results indicate that the properties of the revisions are more problematic for the production side than for the expenditure...

Real housing prices in Sweden have roughly doubled the last 15 years. The rise in housing prices has coincided with a rise in household debt, sparking debate about both the presence of financial imbalances in the Swedish economy and the macroeconomic effects that a correction of these imbalances...

In this paper, we evaluate two types of Swedish policy interest-rate ex-pectations: survey expectations and expectations inferred from market pricing. The data are drawn from the most prominent survey of finan-cial-market economists and from Swedish financial markets and the data are carefully...

In this paper, a Bayesian VAR model is used to study the effects of euro area shocks on GDP growth in the small open economy of Sweden. A novel feature is that the new policy uncertainty index of Baker et al.(2013) is introduced in the model. The model behaves well in terms of reasonable impulse...

In this paper, we assess the usefulness of constant gain least squares (CGLS) when forecasting the unemployment rate. Using quarterly data from 1970 to 2009, we conduct an out-of-sample forecast exercise in which univariate autoregressive models for the unemployment rate in Australia, Sweden,...

In recent years the central banks of Norway and Sweden have published their endogenous policy interest-rate forecasts. In this paper, we evaluate those forecasts alongside policy-rate expectations inferred from market pricing. We find that for both economies there are only small differences in...

We estimate the path of inflation persistence in the United States over the last fifty years using an ARMA model of inflation with time-varying autoregressive parameter, motivated by the familiar New Keynesian framework. The estimated path of inflation persistence is consistent with a general...

We use Bayesian estimation techniques to assess whether money growth Granger-causes inflation in the USA. We investigate the issue of Granger-causality out-of-sample and find that including money growth in simple VAR models of inflation does systematically improve out-of-sample forecasting...

In this article, we evaluate forecasting models for Swedish GDP growth which make use of data from Sweden's most important business survey, the <italic>Economic Tendency Survey</italic>. Employing nine years of quarterly real-time data, we conduct an out-of-sample forecast exercise. Results indicate that the...