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Working Paper
Reaching the Hard to Reach with Intermediaries: The Kansas City Fed’s LMI Survey
Edmiston, Kelly D.
(2018-07-16)
Reaching hard-to-reach individuals is a common problem in survey research. The low- and moderate-income (LMI) population, for example, is generally hard to reach. The Kansas City Fed?s Low- and Moderate-Income Survey addresses this problem by sampling a database of organizations to serve as proxies for the LMI population. In this paper, I describe why the LMI population can be hard to reach. I then explore potential problems with using a nonrandom survey sample and address the empirical validity of the Kansas City Fed?s LMI Survey. I compare results from the survey using the standard sample ...
Research Working Paper
, Paper RWP 18-6
Journal Article
Industrial production and capacity utilization: the 2004 annual revision
Gilbert, Charles; Bayard, Kimberly
(2005-01)
In late 2004, the Board of Governors of the Federal Reserve issued revisions to its index of industrial production (IP) and the related measures of capacity and capacity utilization for the period from January 1972 to November 2004. Overall, the changes to total industrial production were small. ; Measured from the fourth quarter of 2002 to the third quarter of 2004, industrial output is reported to have increased a little less than shown previously. Production expanded more slowly in 2000 than earlier estimates indicated, whereas the contraction in 2001 was a little less steep. The rise in ...
Federal Reserve Bulletin
, Volume 91
, Issue Win
Working Paper
Internal Migration in the United States: A Comparative Assessment of the Utility of the Consumer Credit Panel
Whitaker, Stephan; Johnson, Janna; DeWaard, Jack
(2018-03-23)
This paper demonstrates that credit bureau data, such as the Federal Reserve Bank of New York Consumer Credit Panel/Equifax (CCP), can be used to study internal migration in the United States. It is comparable to, and in some ways superior to, the standard data used to study migration, including the American Community Survey (ACS), the Current Population Survey (CPS), and the Internal Revenue Service (IRS) county-to-county migration data. CCP-based estimates of migration intensity, connectivity, and spatial focusing are similar to estimates derived from the ACS, CPS, and IRS data. The CCP can ...
Working Papers (Old Series)
, Paper 1804
Working Paper
Business Exit During the COVID-19 Pandemic: Non-Traditional Measures in Historical Context
Flaaen, Aaron; Kurz, Christopher J.; Decker, Ryan A.; Crane, Leland D.; Hamins-Puertolas, Adrian
(2021-04-15)
Lags in official data releases have forced economists and policymakers to leverage "alternative" or "non-traditional" data to measure business exit resulting from the COVID- 19 pandemic. We first review official data on business exit in recent decades to place the alternative measures of exit within historical context. For the U.S., business exit is countercyclical and fairly common, with about 7.5 percent of firms exiting annually in recent years. Both the high level and the cyclicality of exit are driven by very small firms and establishments. We then explore a range of alternative measures ...
Finance and Economics Discussion Series
, Paper 2020-089r1
Report
Measuring the US Employment Situation Using Online Panels: The Yale Labor Survey
Foote, Christopher L.; Hounshell, Tyler; Nordhaus, William D.; Rivers, Douglas; Torola, Pamela
(2021-12-01)
This report presents the results of a rapid, low-cost survey that collects labor market data for individuals in the United States. The Yale Labor Survey (YLS) used an online panel from YouGov to replicate statistics from the Current Population Survey (CPS), the government’s source of household labor market statistics. The YLS’s advantages include its timeliness, low cost, and ability to develop new questions quickly to study labor market patterns during the coronavirus (COVID-19) pandemic. Although YLS estimates of unemployment and participation rates mirrored the broad trends in CPS ...
Current Policy Perspectives
Report
Heterogeneous inflation expectations and learning
Zafar, Basit; Madeira, Carlos
(2012)
Using the panel component of the Michigan Survey of Consumers, we estimate a learning model of inflation expectations, allowing for heterogeneous use of both private information and lifetime inflation experience. ?Life-experience inflation? has a significant impact on individual expectations, but only for one-year-ahead inflation. Public information is substantially more relevant for longer-horizon expectations. Even controlling for life-experience inflation and public information, idiosyncratic information explains a nontrivial proportion of the inflation forecasts of agents. We find that ...
Staff Reports
, Paper 536
Journal Article
Recent changes to a measure of U.S. household debt service
Dynan, Karen E.; Pence, Karen M.; Johnson, Kathleen W.
(2003-10)
Changes in levels of aggregate household debt in the United States may contain information about the current state of the nation's economy and may affect its future direction. A commonly used measure of household indebtedness is the household debt service ratio (formerly known as the household debt service burden), published since 1980 by the Board of Governors of the Federal Reserve System. Recent changes in financial markets have prompted a comprehensive revision of this statistic. This article describes the revision and introduces a new measure, the financial obligations ratio, which adds ...
Federal Reserve Bulletin
, Volume 89
, Issue Oct
, Pages 417-426
Journal Article
Challenges in identifying interbank loans
Copeland, Adam; Armantier, Olivier
(2015-21-01)
Although interbank lending markets play a key role in the financial system, the lack of disaggregated data often makes the analysis of these markets difficult. To address this problem, recent academic papers focusing on unsecured loans of central bank reserves have employed an algorithm in an effort to identify individual transactions that are federal funds loans. The accuracy of the algorithm, however, is not known. The authors of this study conduct a formal test with U.S. data and find that the rate of false positives produced by one of these algorithms is on average 81 percent; the rate of ...
Economic Policy Review
, Issue 21-1
, Pages 1-17
Working Paper
Assessing the macroeconomic impact of bank intermediation shocks: a structural approach
Chen, Kaiji; Zha, Tao
(2015-08-01)
We take a structural approach to assessing the empirical importance of shocks to the supply of bank-intermediated credit in affecting macroeconomic fluctuations. First, we develop a theoretical model to show how credit supply shocks can be transmitted into disruptions in the production economy. Second, we use the unique micro-banking data to identify and support the model's key mechanism. Third, we find that the output effect of credit supply shocks is not only economically and statistically significant but also consistent with the vector autogression evidence. Our mode estimation indicates ...
FRB Atlanta Working Paper
, Paper 2015-8
Report
Evaluating the quality of fed funds lending estimates produced from Fedwire payments data
Skeie, David R.; Kovner, Anna
(2013-09-01)
A number of empirical analyses of interbank lending rely on indirect inferences from individual interbank transactions extracted from payments data using algorithms. In this paper, we conduct an evaluation to assess the ability of identifying overnight U.S. fed funds activity from Fedwire payments data. We find evidence that the estimates extracted from the data are statistically significantly correlated with banks' fed funds borrowing as reported on the FRY-9C. We find similar associations for fed funds lending, although the correlations are lower. To be conservative, we believe that the ...
Staff Reports
, Paper 629
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Crane, Leland D. 7 items
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