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Using Macro Counterfactuals to Assess Plausibility

An Illustration using the 2001 Rebate MPCs

Bibliographic Data

ID9709838
AuthorsJacob Orchard (0000-0002-5473-5112, Federal Reserve), Jacob D Orchard (Federal Reserve Board of Governors), Valerie A Ramey (Stanford University Hoover Institution, , National Bureau of Economic Research (NBER)), Valerie Ramey (Center for Economic and Policy Research), Johannes F Wieland (Federal Reserve Bank of San Francisco & National Bureau of Economic Research (NBER) University of California, San Diego), Johannes Wieland (Federal Reserve Bank of San Francisco)
Year2025
Publication date2025-06-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/ej/ueaf039
OpenAlexW4411716752
LanguageEN
References cited35

Macroeconomics has increasingly adopted tools from the applied micro ‘credibility revolution’ to estimate micro parameters that can inform macro questions. In this paper, we argue that researchers should take advantage of this confluence of micro and macro to take the credibility revolution one step further. We argue that researchers should assess the plausibility of the micro estimates and macro models by constructing macro counterfactuals for historical periods and comparing these counterfactuals with reasonable benchmarks. We illustrate this approach by conducting a case study of the 2001 US tax rebates, as well as briefly summarising four other applications of the methodology. In the 2001 rebate case, we calibrate a two-good, two-agent New Keynesian model with the leading estimates of the household marginal propensity to consume out of the rebates to construct a counterfactual path for non-durable goods consumption. The counterfactual path implies that without the tax rebate non-durable goods consumption spending would have fallen dramatically in the late summer and fall of 2001. Using forecasting regressions and other evidence, we argue that this counterfactual is implausible. When we investigate the source of the discrepancy, we find that the leading marginal-propensity-to-consume estimates are not representative of the response of total consumption

Counterfactual conditional · Counterfactual thinking · Econometrics · Economics · Epistemology · Macro · Mathematical economics · Programming language · Computer Science · Economic Policies and Impacts · Philosophy

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