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The empirical modelling of house prices and debt revisited. A policy-oriented perspective

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Abstract

The recent boom in house prices in many countries during the Covid-19 pandemic and the possibility of household financial distress are of concern among some central banks. We revisit the empirical modelling of house prices and household debt with a policy-oriented perspective using Norwegian data over the last four decades within the cointegrated VAR model. Our findings suggest, in line with previous work, a long-run mutually reinforcing relationship between these financial magnitudes, and thus the potential for the build-up of financial instabilities and spillover effects to the real economy. Applying a control analysis, we find that both house prices and debt are controllable magnitudes to some pre-specified target levels through the mortgage interest rate, which enables the central bank to reduce large fluctuations and bubble tendencies in the housing market. The present control analysis thus provides some useful policy implications from empirically relevant representations of two important financial factors entering the decision process of the policy maker.

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  • Pål Boug & Håvard Hungnes & Takamitsu Kurita, 2021. "The empirical modelling of house prices and debt revisited. A policy-oriented perspective," Discussion Papers 967, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:967
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    File URL: https://www.ssb.no/en/priser-og-prisindekser/boligpriser-og-boligprisindekser/artikler/the-empirical-modelling-of-house-prices-and-debt-revisited-a-policy-oriented-perspective/_/attachment/inline/f27d1df6-11d4-4065-a243-c707887ebe82:baa3d9d68be588e1375c73923d567803a2940f2f/DP967_web.pdf
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    Cited by:

    1. Jennifer Castle & Takamitsu Kurita, 2022. "Structural relationships between cryptocurrency prices and monetary policy indicators," Economics Series Working Papers 972, University of Oxford, Department of Economics.

    More about this item

    Keywords

    House prices; household debt; econometric modelling; cointegrated VAR; policy control analysis; simulation;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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