2019
DOI: 10.2139/ssrn.3488078
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The Propagation of Monetary Policy Shocks in a Heterogeneous Production Economy

Abstract: We study the transmission of monetary policy shocks in a model in which realistic heterogeneity in price rigidity interacts with heterogeneity in sectoral size and input-output linkages, and derive conditions under which these heterogeneities generate large real effects. Quantitatively, heterogeneity in the frequency of price adjustment is the most important driver behind large real effects. Heterogeneity in input-output linkages and consumption shares contribute only marginally to real effects but alter subst… Show more

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Cited by 16 publications
(47 citation statements)
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“…Furthermore, with respect to the specific field of monetary policy, the Bank of England's chief economist calls for an understanding of the complex international monetary network dynamics as a pre-requisite for effective management of monetary policies (Haldane 2014). Among the contributions that have followed this suggestion, Pasten et al (2018) develop a multi-sector model to study the quantitative importance of input-output linkages and their interaction for the real effects of monetary policy shocks. Empirically, they find that the size and interconnectedness of a sector and the interaction with frequencies of price adjustment matter for the real effects of monetary policy.…”
Section: Network Analysis Business Cycle and Monetary Policy: A Shormentioning
confidence: 99%
“…Furthermore, with respect to the specific field of monetary policy, the Bank of England's chief economist calls for an understanding of the complex international monetary network dynamics as a pre-requisite for effective management of monetary policies (Haldane 2014). Among the contributions that have followed this suggestion, Pasten et al (2018) develop a multi-sector model to study the quantitative importance of input-output linkages and their interaction for the real effects of monetary policy shocks. Empirically, they find that the size and interconnectedness of a sector and the interaction with frequencies of price adjustment matter for the real effects of monetary policy.…”
Section: Network Analysis Business Cycle and Monetary Policy: A Shormentioning
confidence: 99%
“…This paper is also closely related to the literature on the importance of sectoral shocks for economic aggregates. The multisector model developed in this 2 Recent contributions to the literature on networks and finance include Hou and Robinson (2006), Cohen, Frazzini, and Malloy (2008), , Carvalho (2010), Gofman (2011), Carvalho andGabaix (2013), Li and Schürhoff (2013), Ahern and Harford (2014), Aobdia, Caskey, and Ozel (2014), Carvalho and Voigtlander (2014), ), Farboodi (2014, Tahbaz-Salehi (2015a, 2015b), Carvalho and Grassi (2015), Neklyudov and Sambalaibat (2015), Babus and Parlatore (2016), Eisfeldt et al (2018), Babus (2016), Babus and Kondor (2016), Biggio and La'O (2016), Carvalho et al (2016), Pasten, Schoenle, and Weber (2016), Richmond (2016), Wu (2016), Babus and Hu (2017), Denbee et al (2017), Gofman (2017), Hollifield, Neklyudov, and Spatt (2017), Malamud and Rostek (2017), and Ozdagli and Weber (2017). Allen and Babus (2009) present a detailed review of network models applied to finance.…”
Section: A Related Literaturementioning
confidence: 99%
“…While many dimensions of sectoral heterogeneity can give rise to these channels, we investigate them in the presence of heterogeneity in price rigidities across sectors. Price stickiness is the key source of monetary non-neutrality in New-Keynesian models and it is known to be heterogeneous across sectors (Nakamura and Steinsson (2008) and Pasten et al (2016)). Our paper investigates the implications of heterogeneous price rigidities for the distributional and aggregate effects of monetary policy.…”
Section: Introductionmentioning
confidence: 99%
“…Our dataset brings together information on price rigidities, spending and payroll across detailed industries, covering the entire economy excluding shelter. To measure price rigidities across sectors, we rely on the data made publicly available by Nakamura and Steinsson (2008) for final goods and by Pasten et al (2016) for intermediates. We obtain data on college spending shares from the Consumer Expenditure Survey (CEX) and on industry college payroll shares from the American Community Survey (ACS).…”
Section: Introductionmentioning
confidence: 99%
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