Debt-servicing capacity is a function of both available cash flow and the size of obligatory expenses. We use household level information to calculate normal expenses that cover food, other general consumption, electricity and fixed housing expences, as well as interest expenses. We link this to...

We propose an econometric model for predicting the share of bank debt held by bankrupt firms by combining a novel set of firm-level financial variables and macroeconomic indicators. Our firm-level data include payment remarks in the form of debt collections from private agencies and attachments...

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...

In this paper, we examine two questions: i) how changes in the funding costs of banks affect retail loan rates and ii) how changes in relative loan rates between banks affect their market shares. To do so, we estimate a simultaneous system of equations model using panel data for six Norwegian...

We analyze the effect of house price changes on debt secured on dwellings in Norway. To this end, we use both macro time series and micro panel data. With the intention of being both a cross-check and motivation for the micro analysis, we estimate a structural vector auto regression using macro...

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...

We use a dynamic factor model and a detailed panel data set for six Norwegian bank groups to analyze i) how funding costs affect retail loan rates and ii) how retail rate differences between banks affect market shares. The data set consist of quarterly data for 2002Q1-2011Q3 and include...