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Creator: Kehoe, Timothy Jerome, 1953-, Pujolas, Pau S., and Rossbach, Jack Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 537 Abstract:
Applied general equilibrium (AGE) models, which feature multiple countries, multiple industries, and input-output linkages across industries, have been the dominant tool for evaluating the impact of trade reforms since the 1980s. We review how these models are used to perform policy analysis and document their shortcomings in predicting the industry-level effects of past trade reforms. We argue that, to improve their performance, AGE models need to incorporate product-level data on bilateral trade relations by industry and better model how trade reforms lower bilateral trade costs. We use the least traded products methodology of Kehoe et al. (2015) to provide guidance on how improvements can be made. We provide further suggestions on how AGE models can incorporate recent advances in quantitative trade theory to improve their predictive ability and better quantify the gains from trade liberalization.
Palavra-chave: Applied general equilibrium, Input-output linkages, Armington elasticities, Trade costs, and Trade liberalization Sujeito: F17 - Trade: Forecasting and Simulation, F14 - Empirical Studies of Trade, F11 - Neoclassical Models of Trade, and F13 - Trade Policy; International Trade Organizations
Creator: McGrattan, Ellen R. Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 545 Abstract:
Because ﬁrms invest heavily in R&D, software, brands, and other intangible assets—at a rate close to that of tangible assets—changes in measured GDP, which does not include all intangible investments, understate the actual changes in total output. If changes in the labor input are more precisely measured, then it is possible to observe little change in measured total factor productivity (TFP) coincidentally with large changes in hours and investment. This mismeasurement leaves business cycle modelers with large and unexplained labor wedges accounting for most of the ﬂuctuations in aggregate data. To address this issue, I incorporate intangible investments into a multi-sector general equilibrium model and parameterize income and cost shares using data from an updated U.S. input and output table, with intangible investments reassigned from intermediate to ﬁnal uses. I employ maximum likelihood methods and quarterly observations on sectoral gross outputs for the United States over the period 1985–2014 to estimate processes for latent sectoral TFPs—that have common and sector-speciﬁc components. Aggregate hours are not used to estimate TFPs, but the model predicts changes in hours that compare well with the actual hours series and account for roughly two-thirds of its standard deviation. I ﬁnd that sector-speciﬁc shocks and industry linkages play an important role in accounting for ﬂuctuations and comovements in aggregate and industry-level U.S. data, and I ﬁnd that the model’s common component of TFP is not correlated at business cycle frequencies with the standard measures of aggregate TFP used in the macroeconomic literature.
Palavra-chave: Input-output linkages, Business cycles, Intangible investments, and Total factor productivity Sujeito: E32 - Business Fluctuations; Cycles, O41 - One, Two, and Multisector Growth Models, and D57 - General Equilibrium and Disequilibrium: Input-Output Tables and Analysis