We use a dynamic factor model and a detailed panel data set with quarterly accounts data on all Norwegian banks to study the effects of banks' funding costs on their retail rates. Banks' funds are categorized into two groups: customer deposits and long-term wholesale funding (market funding from...

This paper aims to develop new methods for statistical inference in a class of stochastic volatility models for financial data based on non-Gaussian Ornstein-Uhlenbeck (OU) processes. Our approach uses indirect inference methods: First, a quasi-likelihood for the actual data is estimated. This...

This paper extends the ordinary quasi-likelihood estimator for stochastic volatility models based on non-Gaussian Ornstein-Uhlenbeck (OU) processes to vector processes. Despite the fact that multivariate modeling of asset returns is essential for portfolio optimization and risk management --...

In this paper the demand for space heating energy is estimated by using a discrete-continuous choice model which focuses on the relationship between the choice of heating equipment and energy consumption. The model is estimated on Norwegian micro data, and the two stages of the model are...

In this paper we analyse how oilrig activity in different Non-OPEC regions is affected by the crude oil price. Oilrig activity outside OPEC is an important indicator for production in the near future, and is more sensitive to the oil price than production from existing fields. We estimate...

This paper investigates the determinants of Norwegian import prices of manufactures over the period 1970(1) - 1991(4). Multivariate cointegration analysis establishes a long-run relationship between import prices, foreign prices, the exchange rate and domestic unit labour costs. Normalized on...

Some main Norwegian quarterly macroeconomic time series are decomposed into unobserved components within the framework of structural time series models using UCARIMA models. In the most general case we allow for a stationary cyclical component besides a stochastic trend, a stochastic seasonal...

We use state space methods to estimate a large dynamic factor model for the Norwegian economy involving 93 variables for 1978Q2–2005Q4. The model is used to obtain forecasts for 22 key variables that can be derived from the original variables by aggregation. To investigate the potential gain...

The empirical literature studying the sector bias of technical change has only focused on skill-biased technical change. In this paper, I analyse the sector bias of both factor-neutral and factor-biased technical change. In Norwegian data from 1972 to 2007 the empirical evidence is not clear on...

Electricity markets have typically been regulated all over the world. In Europe, UK and Norway have begun to deregulate their electricity markets. Several more countries will probably join them in the near future, for example Finland, Sweden and Spain. The objectives are twofold: to increase...