The paper provides the first quantitative analysis of how U.S. monetary policy responses should differ depending on the source of the observed oil price fluctuations. It presents three main sets of results. First, the paper proposes a novel decomposition of the marginal cost of production that highlights the role of each factor input for the evolution of inflation. Second, conditional on an estimated interest rate policy reaction function, the paper demonstrates that no two structural shocks induce the same monetary policy response, even after controlling for the impact response of the real price of oil, and quantifies these differences. Third, the paper shows that the policy responses implied by a policy rule, whose coefficients were chosen to maximize U.S. welfare, differ substantially from the policy response implied by the same rule estimated on historical data. Among a wide range of rules, a rule that is easily implementable and that nearly maximizes U.S. welfare involves the Federal Reserve putting zero weight on the price of oil and responding to wage inflation without interest rate smoothing.
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The Executive Business Centre, Department of Accounting, Finance and Economics, Bournemouth University, 89 Holdenhurst Road, BournemouthThe Executive Business Centre, Department of Accounting, Finance and Economics, Bournemouth University, 89 Holdenhurst Road, Bournemouth
Filis G.
Chatziantoniou I.
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Department of Economics and Finance, Portsmouth Business School, University of Portsmouth, Richmond Building, Portland Street, PortsmouthThe Executive Business Centre, Department of Accounting, Finance and Economics, Bournemouth University, 89 Holdenhurst Road, Bournemouth
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Shanghai Finance Univ, Sch Int Finance, Econ, Shanghai, Peoples R China
Fudan Univ, Financial Res Ctr, Shanghai 200433, Peoples R ChinaShanghai Finance Univ, Sch Int Finance, Econ, Shanghai, Peoples R China
Wang, Yunqing
Zhu, Qigui
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Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Econ, Shanghai 200030, Peoples R ChinaShanghai Finance Univ, Sch Int Finance, Econ, Shanghai, Peoples R China
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Konkuk Univ, Dept Econ, Seoul, South KoreaKonkuk Univ, Dept Econ, Seoul, South Korea
Kim, Won Joong
Hammoudeh, Shawkat
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Drexel Univ, Lebow Coll Business, Philadelphia, PA USA
Montpellier Business Sch, ESD, Montpellier, FranceKonkuk Univ, Dept Econ, Seoul, South Korea
Hammoudeh, Shawkat
Hyun, Jun Seog
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Konkuk Univ, Dept Econ, Seoul, South KoreaKonkuk Univ, Dept Econ, Seoul, South Korea
Hyun, Jun Seog
Gupta, Rangan
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Univ Pretoria, Dept Econ, Pretoria, South AfricaKonkuk Univ, Dept Econ, Seoul, South Korea
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Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
Amendola, Alessandra
Candila, Vincenzo
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Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
Candila, Vincenzo
Scognamillo, Antonio
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Univ Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, ItalyUniv Salerno, Dept Econ & Stat, Via Giovanni Paolo 2,132, I-84084 Salerno, Italy
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China Univ Petr East China, Sch Econ & Management, Dongying, Peoples R ChinaChina Univ Petr East China, Sch Econ & Management, Dongying, Peoples R China
Liu, Zongming
Shi, Wenhui
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Qingdao Univ Technol, Business Sch, Qingdao, Peoples R ChinaChina Univ Petr East China, Sch Econ & Management, Dongying, Peoples R China