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Author:Morin, Norman J. 

Discussion Paper
Annual Data on Investment and Capital Stocks

As part of the estimation of capacity for publication of its G.17 statistical release on industrial production and capacity utilization, the Federal Reserve Board produces annual information on the real capital stock and real investment for detailed industries within the manufacturing sector.
FEDS Notes , Paper 2016-03-02

Working Paper
Technology, capital spending, and capacity utilization

This paper examines the relationships between technology, capital spending, and capacity utilization. Recent technological changes have increased the flexibility of relationships between inputs and outputs in manufacturing, which may have eroded the predictive value of the utilization rate. This paper considers how technology might be expected to affect utilization. We show that recent changes could either lower average utilization by making it cheaper to hold excess capacity, or raise utilization by making further changes in capacity less costly and time-consuming. We then examine the ...
Finance and Economics Discussion Series , Paper 2004-30

Working Paper
Manufacturing Sentiment: Forecasting Industrial Production with Text Analysis

This paper examines the link between industrial production and the sentiment expressed in natural language survey responses from U.S. manufacturing firms. We compare several natural language processing (NLP) techniques for classifying sentiment, ranging from dictionary-based methods to modern deep learning methods. Using a manually labeled sample as ground truth, we find that deep learning models partially trained on a human-labeled sample of our data outperform other methods for classifying the sentiment of survey responses. Further, we capitalize on the panel nature of the data to train ...
Finance and Economics Discussion Series , Paper 2024-026

Discussion Paper
Looking for Shortages of Skilled Labor in the Manufacturing Sector

Anecdotal reports have suggested that some firms have struggled to find sufficient numbers of skilled workers.
FEDS Notes , Paper 2013-09-26-1

Working Paper
Consumer sentiment, the economy, and the news media

The news media affects consumers' perceptions of the economy through three channels. First, the news media conveys the latest economic data and the opinions of professionals to consumers. Second, consumers receive a signal about the economy through the tone and volume of economic reporting. Last, the greater the volume of news about the economy, the greater the likelihood that consumers will update their expectations about the economy. We find evidence that all three of these channels affect consumer sentiment. We derive measures of the tone and volume of economic reporting, building upon the ...
Finance and Economics Discussion Series , Paper 2004-51

Journal Article
Industrial production and capacity utilization: recent developments and the 1999 annual revision

In late 1999, the Federal Reserve published revised measures of industrial production, capacity, and capacity utilization for the period January 1992 through October 1999. The updated measures reflect both the incorporation of newly available, more comprehensive source data typical of annual revisions and the introduction of improved methods for compiling a few series, including computer and office equipment and motor vehicles. The new source data are for recent years, primarily from 1997 on, and the modified methods affect data beginning in 1992. ; The production index for the third quarter ...
Federal Reserve Bulletin , Issue Mar

Working Paper
Estimating capacity utilization from survey data

In this paper, we review the history and concepts behind the Federal Reserve's measures of capacity and capacity utilization, summarize the methods used to construct the measures, and describe the principal source data for these measures--the Census Bureau's Survey of Plant Capacity. We show that the aggregate manufacturing utilization rate from the Survey of Plant Capacity does not exhibit the "cyclical bias" possessed by utilization rates from the less statistically rigorous utilization rate surveys previously used to estimate the Federal Reserve's measures. At the detailed industry ...
Finance and Economics Discussion Series , Paper 2004-49

Working Paper
Consumer sentiment, the economy, and the news media

The news media affects consumers' perceptions of the economy through three channels. First, the news media conveys economic data and the opinions of professionals to consumers. Second, consumers receive a signal about the economy through the tone and volume of economic reporting. Last, when the volume of economic news increases, consumers are more likely to update their expectations about the economy. We find evidence that all three channels affect consumer sentiment. We derive measures of the tone and volume of economic reporting, building upon the R-word index of The Economist. We find that ...
Working Paper Series , Paper 2004-09

Working Paper
Likelihood ratio tests on cointegrating vectors, disequilibrium adjustment vectors, and their orthogonal complements

Cointegration theory provides a flexible class of statistical models that combine long-run relationships and short-run dynamics. This paper presents three likelihood ratio (LR) tests for simultaneously testing restrictions on cointegrating relationships and on how quickly the system reacts to the deviation from equilibrium implied by the cointegrating relationships. Both the orthogonal complements of the cointegrating vectors and of the vectors of adjustment speeds have been used to define the common stochastic trends of a nonstationary system. The restrictions implicitly placed on the ...
Finance and Economics Discussion Series , Paper 2006-21

Working Paper
Manufacturing Sentiment: Forecasting Industrial Production with Text Analysis

This paper examines the link between industrial production and the sentiment expressed in natural language survey responses from U.S. manufacturing firms. We compare several natural language processing (NLP) techniques for classifying sentiment, ranging from dictionary-based methods to modern deep learning methods. Using a manually labeled sample as ground truth, we find that deep learning models partially trained on a human-labeled sample of our data outperform other methods for classifying the sentiment of survey responses. Further, we capitalize on the panel nature of the data to train ...
Finance and Economics Discussion Series , Paper 2024-026

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