econintersect .com

FREE NEWSLETTER: Econintersect sends a nightly newsletter highlighting news events of the day, and providing a summary of new articles posted on the website. Econintersect will not sell or pass your email address to others per our privacy policy. You can cancel this subscription at any time by selecting the unsubscribing link in the footer of each email.

posted on 24 May 2016

Hints Of Increased Hardship In Americas Oil-Producing Counties

from Liberty Street Economics

-- this post authored by Andrew Haughwout, Donghoon Lee, Joelle Scally, and Wilbert van der Klaauw

Today, the New York Fed released the Quarterly Report on Household Debt and Credit for the first quarter of 2016. Overall debt saw one of its larger increases since deleveraging ended, while delinquency rates for the United States continued to improve and remain at very low levels.

Although the overall picture of Americans' liabilities has continued to improve since the financial crisis, we wondered what the variation looks like at local levels. One advantage of our Consumer Credit Panel (CCP), which is based on Equifax credit data, is that we can examine geographic variation in debt and delinquency rates. Here, we use the CCP to examine the borrowing and delinquency in oil-producing geographies in the United States, where the economic trends since the Great Recession have been very different from those in the rest of the country.

The Energy Cycle and Household Debt: A First Look

Between 2004 and 2013, the United States surpassed Saudi Arabia and Russia to become the world's largest producer of oil, but in 2014, oil prices fell sharply, causing a decline in oil and gas extraction employment. The chart below depicts the number of active oil rigs in blue. We see a relatively low number until about 2010, when the American oil boom begins. The number of rigs rises sharply until the end of 2014, yet then drops precipitously. The red line depicts the number of employees in oil and gas extraction (NAICS code 211); its dynamics correspond with the oil rig counts, although employment appears to respond somewhat more gradually. Although overall employment has been quite strong in the United States, jobs in oil and gas extraction are concentrated in a small number of geographies. This concentration creates relatively well-defined areas whose local economies are experiencing a sudden downturn after a boom, while the rest of the United States has, on average, experienced relatively steady improvements in employment.

Active Oil Rigs and Extraction Employment

To assess whether oil- and gas-producing areas have experienced a different economic cycle than others, we first calculate, at the county level, the share of employment in mining, quarrying, and oil and gas extraction (NAICS 21) using data from the Bureau of Labor Statistics. Nationally, the share of employment in this sector is quite small - about 0.6 percent of all employees. We focus on counties whose employment comprises at least 6 percent jobs in oil and gas employment (as of the end of 2014) - a level that is at least ten times the national share (and met by about 10 percent of all U.S. counties). We end up with 327 counties representing just 1.7 percent of total U.S. employment.

We then examine debt trends. In the chart below, we show aggregate mortgage (darker blue line) and auto loan (darker red line) balances for these "high energy counties" versus the national averages (lighter blue and red lines). To make the series comparable, we set them all at an index equal to 1 in 2004:Q1, which loosely corresponds to when the oil boom begins. It's easy to see that their rates of growth before 2004:Q1 were quite similar. After 2004, though, the indexes diverge: auto balances in the energy counties grew much faster than the rest of the country, especially until the financial crisis in 2008, and the difference continues to grow slowly until early 2016. It's a bit difficult to discern in the chart, but the last reading - for 2016:Q1 - registers a decline in auto balances in high energy counties, the first since 2011. Mortgage debt in the energy counties, by contrast, grew somewhat more slowly than the national average until the onset of the deleveraging period, but it never fell.

Balance Growth

The Delinquency Picture

It's also interesting to look at delinquency rates. Has the recent reversal of fortune in these areas been reflected in an uptick in late payments? In the chart below, we look at serious (90+ day) delinquency rates in energy-producing counties relative to the United States as a whole. Let's start with mortgages. It's easy to see a difference between the oil counties and the rest of the United States in every quarter. Before the financial crisis, mortgage delinquencies in these small, rural counties exceeded the national average, but the pattern reversed after 2006. The housing bust had much less pronounced effects on delinquencies in the oil patch, but toward the end of the period we see the difference shrinking as delinquencies in the energy counties tick up. Auto loan delinquency rates were very similar in energy-producing counties to the U.S. average between 1999 and 2007. Beginning with the financial crisis, though, the energy counties began to perform persistently better. Since mid-2014, though, energy-county delinquencies have risen sharply in both absolute and relative terms. While these effects are relevant in these counties, it's important to remember that the affected areas are quite small relative to the nation.

90+ Day Delinquency Rates

This preliminary look at how energy counties have performed relative to the rest of the country doesn't account for the counties' many interesting features, such as the fact that they are concentrated in a few states and are overwhelmingly rural. A more complete analysis would control for these characteristics to identify the causal effect of the energy-price cycle on household borrowing and repayment. We hope to explore this issue in more detail in later work.

Chart Data


The views expressed in this post are those of the authors and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors.


About the Authors

Andrew HaughwoutAndrew Haughwout is a senior vice president in the Federal Reserve Bank of New York's Research and Statistics Group.

Donghoon LeeDonghoon Lee is a research officer in the Bank's Research and Statistics Group.

Joelle ScallyJoelle Scally is the administrator of the Center for Microeconomic Data in the Bank's Research and Statistics Group.

Wilbert van der KlaauwWilbert van der Klaauw is a senior vice president in the Bank's Research and Statistics Group.

>>>>> Scroll down to view and make comments <<<<<<

Click here for Historical News Post Listing

Make a Comment

Econintersect wants your comments, data and opinion on the articles posted. You can also comment using Facebook directly using he comment block below.

Econintersect Contributors

Print this page or create a PDF file of this page
Print Friendly and PDF

The growing use of ad blocking software is creating a shortfall in covering our fixed expenses. Please consider a donation to Econintersect to allow continuing output of quality and balanced financial and economic news and analysis.

Keep up with economic news using our dynamic economic newspapers with the largest international coverage on the internet
Asia / Pacific
Middle East / Africa
USA Government

 navigate econintersect .com


Analysis Blog
News Blog
Investing Blog
Opinion Blog
Precious Metals Blog
Markets Blog
Video of the Day


Asia / Pacific
Middle East / Africa
USA Government

RSS Feeds / Social Media

Combined Econintersect Feed

Free Newsletter

Marketplace - Books & More

Economic Forecast

Content Contribution



  Top Economics Site Contributor TalkMarkets Contributor Finance Blogs Free PageRank Checker Active Search Results Google+

This Web Page by Steven Hansen ---- Copyright 2010 - 2018 Econintersect LLC - all rights reserved