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Journal Article
Industrial production and capacity utilization: the 2005 annual revision
Gilbert, Charles; Bayard, Kimberly (2006-03)
On November 7, 2005, the Board of Governors of the Federal Reserve System issued revisions to its index of industrial production (IP) and the related measures of capacity and capacity utilization for the period from January 1972 through September 2005. For this period, both the levels and the rates of change were revised. For years before 1972, the levels, but not the rates of change, were also revised. Overall, the changes to total industrial production were small. ; Besides the revisions to the monthly data for IP and capacity utilization starting in 1972, the comparison base year for all ...
Federal Reserve Bulletin , Volume 92 , Issue Mar , Pages A39-A58

Journal Article
Industrial production and capacity utilization: 1998 annual revision
Gilbert, Charles; Raddock, Richard D. (1999-01)
In late 1998, the Federal Reserve published the results of an annual revision of its measures of industrial production, capacity, and capacity utilization, which cover the nation's manufacturing, mining, and electric and gas utilities industries. The revision involved both the incorporation of newly available and more comprehensive source data and, for some series, the introduction of modified methods for compiling the series. The revised figures show stronger growth of both production and capacity since 1996; however, the overall capacity utilization rate was little changed from the previous ...
Federal Reserve Bulletin , Volume 85 , Issue Jan , Pages 20-33

Working Paper
Does Disappointing European Productivity Growth Reflect a Slowing Trend? Weighing the Evidence and Assessing the Future
Inklaar, Robert; Fernald, John G. (2020-06-12)
In the years since the Great Recession, many observers have highlighted the slow pace of labor and total factor productivity (TFP) growth in advanced economies. This paper focuses on the European experience, where we highlight that trend TFP growth was already low in the runup to the Global Financial Crisis (GFC). This suggests that it is important to consider factors other than just the deep crisis itself or policy changes since the crisis. After the mid-1990s, European economies stopped converging, or even began diverging, from the U.S. level of TFP. That said, in contrast to the United ...
Working Paper Series , Paper 2020-22

Working Paper
A DSGE Model Including Trend Information and Regime Switching at the ZLB
Gelain, Paolo; Lopez, Pierlauro (2023-12-27)
This paper outlines the dynamic stochastic general equilibrium (DSGE) model developed at the Federal Reserve Bank of Cleveland as part of the suite of models used for forecasting and policy analysis by Cleveland Fed researchers, which we have nicknamed CLEMENTINE (CLeveland Equilibrium ModEl iNcluding Trend INformation and the Effective lower bound). This document adopts a practitioner's guide approach, detailing the construction of the model and offering practical guidance on its use as a policy tool designed to support decision-making through forecasting exercises and policy counterfactuals.
Working Papers , Paper 23-35

Report
Pandemic Control in ECON-EPI Networks
Fogli, Alessandra; Azzimonti-Renzo, Marina; Perri, Fabrizio; Ponder, Mark (2020-08-19)
We develop an ECON-EPI network model to evaluate policies designed to improve health and economic outcomes during a pandemic. Relative to the standard epidemiological SIR set-up, we explicitly model social contacts among individuals and allow for heterogeneity in their number and stability. In addition, we embed the network in a structural economic model describing how contacts generate economic activity. We calibrate it to the New York metro area during the 2020 COVID-19 crisis and show three main results. First, the ECON-EPI network implies patterns of infections that better match the data ...
Staff Report , Paper 609

Report
Newer need not be better: evaluating the Penn World Tables and the World Development Indicators using nighttime lights
Pinkovskiy, Maxim L.; Sala-i-Martin, Xavier X. (2016-06-01)
Nighttime lights data are a measure of economic activity whose measurement error is plausibly independent of the errors of most conventional indicators. Therefore, we can use nighttime lights as an independent benchmark to assess existing measures of economic activity (Pinkovskiy and Sala-i-Martin 2016). We employ this insight to find out which vintages of the Penn World Tables (PWT) and of the World Development Indicators (WDI) better estimate true income per capita. We find that revisions of the PWT do not necessarily dominate their predecessors in terms of explaining nighttime lights (and ...
Staff Reports , Paper 778

Working Paper
Misallocation and Credit Market Constraints: the Role of Long-Term Financing
Karabarbounis, Marios; Macnamara, Patrick (2019-01-16)
We measure aggregate productivity loss due to credit market constraints in a model with endogenous borrowing constraints, long-duration bonds, and costly equity payouts. Due to long-duration bonds, the model generates a realistic distribution of credit spreads. We structurally estimate our model using firm-level data on credit spreads from Thomson Reuters Bond Security Data and balance sheet data from Compustat. Credit market constraints increase aggregate productivity by 0.4% through their effect on the credit spread distribution. However, credit market constraints also interact with costly ...
Working Paper , Paper 19-1

Working Paper
The Origins of Aggregate Fluctuations in a Credit Network Economy
Altinoglu, Levent (2018-05-04)
I show that inter-firm lending plays an important role in business cycle fluctuations. I first build a tractable network model of the economy in which trade in intermediate goods is financed by supplier credit. In the model, a financial shock to one firm affects its ability to make payments to its suppliers. The credit linkages between firms propagate financial shocks, amplifying their aggregate effects by about 30 percent. To calibrate the model, I construct a proxy of inter-industry credit flows from firm- and industry-level data. I then estimate aggregate and idiosyncratic shocks to ...
Finance and Economics Discussion Series , Paper 2018-031

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