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En effisient handlingsregel for bruk av petroleumsinntekter

Author

Listed:
  • Q. Farooq Akram

    (Norges Bank)

Abstract
Denne artikkelen undersøker hvor mye vi bør bruke av petroleumsinntektene hvis vi samtidig skal minimere kostnadene ved å bruke dem. Slike kostnader forbindes med sektoromstillinger som ikke kan opprettholdes og må reverseres for unngå intern og ekstern ubalanse i økonomien. Realvalutakursen spiller en sentral rolle når det gjelder å frembringe slike sektoromstillinger. Den reflekterer blant annet nivået på bruken av petroluemsinntektene. Den konsumraten for petroleumsinntekter som fører til minst svingninger i realvalutakursen og sektorsammensetningen, kaller vi “effisient konsumrate”. Det vises at den effisiente konsumraten blir lik realavkastningen på petroleumsformuen minus den inntektsbestemte importveksten. Vi tallfester denne raten til 1 % av den samlede petroleumsformuen. Vi finner også at den offisielle handlingsregelen tilsier større bruk av petroleumsinntekter enn det som foreskrives av den effisiente konsumraten.

Suggested Citation

  • Q. Farooq Akram, 2004. "En effisient handlingsregel for bruk av petroleumsinntekter," Working Paper 2004/17, Norges Bank.
  • Handle: RePEc:bno:worpap:2004_17
    as

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    File URL: https://www.norges-bank.no/globalassets/upload/import/publikasjoner/arbeidsnotater/pdf/arb-2004-17.pdf
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    More about this item

    Keywords

    Petroleumsinntekter; realvalutakurs; finanspolitikk; handlingsregel;
    All these keywords.

    JEL classification:

    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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