1 BUSINESS DYNAMICS STATISTICS BRIEFING: Sixth in a series of reports using data from the U.S. Census Bureau s Business Dynamics Statistics May 2012 John Haltiwanger University of Maryland Ron Jarmin U.S. Bureau of the Census Javier Miranda U.S. Bureau of the Census
2 Business Dynamics Statistics Briefing: About the Business Dynamics Statistics The Business Dynamics Statistics (BDS) is a product of the U.S. Census Bureau that measures business openings and closings, startups, job creation, and job destruction by firm size, age, industrial sector, and state. The U.S. economy is comprised of more than six million establishments with paid employees. The population of these businesses is constantly churning some businesses grow, others decline, and yet others close. New businesses constantly replenish this pool. The BDS monitors this activity to provide a picture of the dynamics underlying aggregate net employment growth. More information about the BDS can be found at by the Ewing Marion Kauffman Foundation. All rights reserved.
3 Business Dynamics Statistics Briefing:  by John Haltiwanger, Ron Jarmin, and Javier Miranda 1 1. University of Maryland and NBER, U.S. Census Bureau, and U.S. Census Bureau. The analysis in this paper uses only public domain data from the Business Dynamics Statistics (BDS). We thank E.J. Reedy for providing useful comments on an earlier draft.
4  Business Dynamics Statistics Briefing: The Census Bureau s Business Dynamics Statistics (BDS) 2 provides data on business dynamics for U.S. firms and establishments with paid employees. 3 This briefing highlights some key features of the most recent BDS update, which now has data through As the most complete public-use dataset allowing for the analysis of business dynamics in the United States, the BDS is a key source of knowledge about the changing state, as well as the national, economy. The new BDS data release shows that, in 2010, 394,000 startups created 2.3 million jobs (these were not simply establishment openings but new firms whose establishments also were new to the economy). This reflects substantial job creation in a time of anemic overall economic activity. Over the same period from March 2009 to March 2010, 4 the net job creation from all U.S. private sector firms was -1.8 million jobs. Without the contribution of business startups, the net employment loss would have been substantially greater. Previous work using the BDS has highlighted the critical contribution of startups to job creation (see, e.g., Haltiwanger, Jarmin, and Miranda [forthcoming]). However, a potentially troubling trend identified from earlier BDS releases is that the pace of business startups has exhibited a long-run decline that dates back to the 1980s (see, e.g., Haltiwanger, Jarmin, and Miranda  and Litan and Reedy ). 5 The newly released BDS shows that this trend has continued through Figure 1 shows the long decline in the pace of overall job creation in the United Figure 1 Annual Job Creation in U.S. Private Sector Overall and from Startups Job Creation Startups (Percent of Employment) Job Creation (Percent of Employment) Job Creation Job Creation Startups (Right Axis) 2. The BDS was developed at the Census Bureau s Center for Economic Studies, with support from the Census Bureau and the Ewing Marion Kauffman Foundation. The current update also received support from the Small Business Administration. Statistics on business dynamics are provided at an economy-wide level and by firm size, firm age, sector, and state. Starting early in 2012, the BDS is released annually. For the first time, business dynamics also are provided by establishment size and establishment age. 3. The BDS does not include non-employer firms and, as such, this brief does not speak to job creation from non-employer businesses. 4. In the BDS, net and gross flows are measured from March to March. The net growth rate of employment from March 2008 to March 2009 in the U.S. private sector was -4.9 percent, and was -1.6 percent from March 2009 to March Another recent study that uses the BDS to explore the role of startups for job creation is Strangler and Kedrosky (2010).
5 Business Dynamics Statistics Briefing:  States accompanied by a declining rate of job creation from business startups. It is evident that the decline in job creation from startups accelerated in the recent recession. The declining job creation from business startups reflects a declining firm startup rate. Figure 2 shows that the startup rate of firms has declined from as high as 12 percent to 13 percent (as a percentage of all firms) in the 1980s to 7 percent or 8 percent in recent years. Figure 2 also shows that there has been no discernible trend in the average size of a new firm. 6 Figure 2 shows that the average firm startup is well under ten workers. A consequence of this drop in the pace of business startups is that the share of activity accounted for by young firms (defined here as firms aged five or less) has steadily declined over time. In addition, consistent with the patterns for startups, there has been acceleration in the decline of activity accounted for by young firms in recent years. Figure 3 shows the percent of young firms, their employment, and their job creation as a share of the total number of firms, economy-wide employment, and overall job creation. From the early 1980s, the share of young firms has declined from close to 50 percent to less than 35 percent in This decline reflects both a long-run secular decline and accelerated decline in the recent recession. Figure 3 also shows an accompanying decline in the share of employment and share of job creation accounted for by young firms. The share of job creation from young firms has fallen from above Figure 2 Declining Pace of Firm Startups, U.S. Private Sector, BDS 8 7 Startup Rate (Percent of All Firms) Number of Workers Firm Startup Rate Average Size of Startups (Right Axis) 6. This pattern might appear to contrast with recent findings from Reedy and Litan (2011), who emphasize the apparent smaller declining size of new establishments over time, but we note that our focus here is on new firms and not new establishments. There is a high pace of establishment openings from existing firms. For example, Haltiwanger, Jarmin, and Miranda (forthcoming) show that job creation from new establishments from existing firms is about as large as job creation from new firms. So distinguishing between firms and establishments is critical for both conceptual and measurement reasons. Note that Reedy and Litan (2011) also show that there is a discrepancy between Census and BLS evidence on the time series patterns of the average size of new establishments. BLS evidence shows a more evident pattern of decline in the average size of new establishments. These discrepancies in establishment patterns are an open area of research. Also, note that Reedy and Litan (2011) also show what we show in Figure 2 no discernible trend in the size of new firms from the BDS (although this is not their emphasis).
6  Business Dynamics Statistics Briefing: Percent Figure 3 Declining Share of Activity from Young Firms (Firm Age Five or less) U.S. Private Sector, BDS Percent Share of Firms that are Young Share of Job Creation from Young Firms Share of Employment from Young Firms (Right Axis) 40 percent in the 1980s to around 30 percent in recent years. The share of employment accounted for by young firms has fallen from more than 20 percent in the 1980s to as low as 12 percent in Examining the contributions of young firms to business activity and job creation has been highlighted in recent studies that show the disproportionate contribution of both startups and high-growth young firms to job creation (see Haltiwanger, Jarmin, and Miranda [forthcoming]). Figures 1 through 3 highlight that the business activity and job creation from startups and young firms has declined substantially from the 1980s through These patterns raise a variety of questions about the underlying forces shaping these changes, but, more generally, raise questions about whether the United States is becoming less entrepreneurial given the lower pace of startups and the smaller share of activity accounted for by young firms. Addressing these questions is beyond the scope of this brief. However, it is useful to examine how widespread these changes are across regions and states. Narrowing in on the decline from the national to the state-level data, which also are available in the BDS through 2010, Figure 4 shows that the declines have been ubiquitous, but with varying magnitude of decline across states. Comparing the changes from the to business cycle peaks, the biggest declines at the state level ranged from a decline of 7 percentage points to 14 percentage points, while the smallest declines were a more modest 2 percentage points to 5 percentage points. While there is no distinct regional pattern, there is a common pattern to those states with the largest declines they are the states that had some of the highest initial shares of business activity accounted for by young businesses in the 1980s. That is, there is a strong inverse correlation (about -0.55) between the initial share of activity accounted for by young
7 Business Dynamics Statistics Briefing:  Figure 4 Change in the Percent of Employment Accounted for by Young Firms by State: Peak ( / ) Source: U.S. Census Bureau Business Dynamics Statistics Note: Cutoff points are determined by the quintiles of the distribution. Biggest decline to smallest decline (percent) businesses and the secular decline. In that respect, there has been a marked pattern of convergence in the activity accounted for by young businesses across states. But the convergence has taken the form of all states becoming less entrepreneurial (in the sense of a smaller share of activity from young firms) with the most entrepreneurial states exhibiting the largest declines. Looking more closely at the 2006 to 2010 period, Figure 2 shows that the decline in the pace of business startups at the national level accelerated in the recession and has not yet recovered. Figure 3 shows that, at the national level, the share of employment in young firms declined from 14.4 to 12.0 percent (a decline of 2.4 percentage points). Using the statelevel data, Figure 5 shows that the cyclical declines in young business activity have been shared by all states. However, in terms of this latest cyclical decline, there are discernible regional patterns. The largest declines are concentrated in the West, Southwest, and South. These are all regions hit especially hard during the recession, so, in that respect, these regional patterns are not surprising. The correlation between the change in the share of employment accounted for by young firms and the change in the net growth rate of the state over the 2006 to 2010 period is That is, the
8  Business Dynamics Statistics Briefing: Figure 5 Change in the Percent of Employment Accounted for by Young Firms by State: Source: U.S. Census Bureau Business Dynamics Statistics Note: Cutoff points are determined by the quintiles of the distribution. Biggest decline to smallest decline (percent) states with the greatest net contractions in the Great Recession also exhibited the largest decline in the share of activity accounted for by young businesses. It is an open question why the United States has experienced the secular and cyclical decline in the activity and job creation from startups and young firms. Without knowing the sources of these declines, it is, of course, impossible to draw inferences about the implications of these declines for U.S. economic performance. However, we note that a hallmark of the U.S. economy often cited by analysts and policymakers is the high pace of business dynamism. A core aspect of that dynamism has been a robust pace of business startups accompanied by a rich up or out dynamic of U.S. businesses (see Haltiwanger, Jarmin, and Miranda [forthcoming] and Haltiwanger ). Much evidence shows this dynamism has contributed substantially to U.S. productivity and job growth. Historically, startups have contributed substantially to job creation by themselves. While many young businesses fail, the young businesses that have survived have exhibited high average growth rates (with the latter dominated by the most rapidly growing young businesses). In addition, the evidence shows that the high-growth surviving young firms have contributed substantially to productivity growth. While we don t yet know the reasons, the evidence presented here on the secular and cyclical declines implies that, if nothing else, the contribution of such entrepreneurial activity has declined.
9 Business Dynamics Statistics Briefing:  References Haltiwanger, John, Ron Jarmin, and Javier Miranda (forthcoming), Who Creates Jobs? Small vs. Large vs. Young, Review of Economics and Statistics. Haltiwanger, John, Ron Jarmin, and Javier Miranda (2011), Historically Large Declines in Job Creation from Startup and Existing Firms in the Recession, Kauffman Foundation, bds_report_ pdf. Haltiwanger, John (2012), Job Creation and Firm Dynamics in the U.S., Innovation Policy and the Economy. NBER/Chicago Press. Reedy, E.J., and Robert Litan (2011), Starting Smaller; Staying Smaller: America s Slow Leak in Job Creation, Kauffman Foundation, uploadedfiles/job_leaks_starting_smaller_study.pdf. Stangler, Dane, and Paul Kedrosky (2010), Neutralism and Entrepreneurship: The Structural Dynamics of Startups, Young Firms, and Job Creation, Kauffman Foundation,
May 2014 Declining Business Dynamism in the United : A Look at and Ian Hathaway* (Ennsyte Economics) Robert E. Litan () Abstract Business dynamism is the process by which firms continually are born, fail,
Federal Reserve Bank of New York Staff Reports Grown-Up Business Cycles Benjamin Pugsley Ayşegül Şahin Staff Report No. 707 December 2014 This paper presents preliminary findings and is being distributed
The State of Small Business Lending: Credit Access during the Recovery and How Technology May Change the Game Karen Gordon Mills Brayden McCarthy Working Paper 15-004 July 22, 2014 Copyright 2014 by Karen
NEW EVIDENCE FOR THE UNITED STATES FROM THE NATIONAL ESTABLISHMENT TIME SERIES David Neumark, Brandon Wall, and Junfu Zhang* Abstract We use the National Establishment Time Series (NETS) to revisit the
Why are Americans More Productive than Canadians? Andrew Sharpe* Centre for the Study of Living Standards The issue of Canada s productivity performance has received much attention in recent years. The
Immigrant Entrepreneurs and Small Business Owners, and their Access to Financial Capital by Robert W. Fairlie, Ph.D. Economic Consulting Santa Cruz, CA 95060 for Under contract no. SBAHQ-10-R-0009 Release
Prosperity at a Crossroads Targeting Drivers of Economic Growth for Greater Kansas City Prosperity at a Crossroads: Targeting Drivers of Economic Growth in Greater Kansas City Published by the Mid-America
How Destructive is Innovation? Daniel Garcia-Macia Stanford University Chang-Tai Hsieh University of Chicago and NBER Peter J. Klenow Stanford University and NBER June 30, 2015 Abstract Entering and incumbent
Growing by Degrees Education in the United States, 2005 Neither this book nor any part maybe reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, microfilming,
BRIEFING PAPER November 2005 Are Women Opting Out? Debunking the Myth BY HEATHER BOUSHEY Executive Summary A front page article in the New York Times (Story 2005) recently reported that women at Yale University
SEPTEMBER 2014 AN ECONOMY DOING HALF ITS JOB Findings of Harvard Business School s 2013 14 Survey on U.S. Competitiveness Michael E. Porter Jan W. Rivkin with contributions from Joseph B. Fuller, Allen
Policy Brief Number PB14-18 june 2014 The US Manufacturing Base: Four Signs of Strength Theodore H. Moran and Lindsay Oldenski Theodore H. Moran, nonresident senior fellow, has been associated with the
Kauffman Foundation Research Series on City, Metro, and Regional Entrepreneurship Measuring an Entrepreneurial Ecosystem Dane Stangler Jordan Bell-Masterson March 2015 We would like to thank Yasuyuki Motoyama,
What Effect Do Unions Have on Wages Now and Would Freeman and Medoff Be Surprised?* DAVID G. BLANCHFLOWER Bruce V. Rauner 1978 Professor of Economics, Dartmouth College, Hanover, NH 03755 and NBER ALEX
E c o n o m i c & S o c i a l A f f a i r s WORLD POPULATION TO 2300 United Nations ST/ESA/SER.A/236 Department of Economic and Social Affairs Population Division WORLD POPULATION TO 2300 United Nations
Economics of Transition Volume 16(4) 2008, 715 740 Why has unemployment risen Blackwell Oxford, ECOT Economics 0967-0750 Journal XXX Original Unemployment banerjee 2008 The UK compilation Articles et Publishing
Chapter 2. PROJECTIONS OF HIGH SCHOOL GRADUATES The U.S. population which numbered 311.6 million in 2011, according to U.S. Census Bureau estimates has grown by almost 4 percent in the five years since
BPEA Conference Draft, March 19 20, 2015 Deciphering the fall and rise in the net capital share Matthew Rognlie, MIT Department of Economics Deciphering the fall and rise in the net capital share Matthew
BAUMOL S DISEASE HAS BEEN CURED: IT AND MULTIFACTOR PRODUCTIVITY IN U.S. SERVICES INDUSTRIES Jack E. Triplett Barry P. Bosworth The Brookings Institution Washington, D.C. 3 rd ZEW Conference on: The Economics
7 July 2014 Some College, No Degree: A National View of Students with Some College Enrollment, but No Completion Some College, No Degree: A National View of Students with Some College Enrollment, but No
Missing out Why ordinary workers are experiencing growth without gain Matthew Whittaker Lee Savage July 2011 Resolution Foundation 2011 E: email@example.com T: 020 3372 2960 : Improving the
ORLD MPLOYMENT OCIAL UTLOOK Trends 2 5 world employment and social outlook world employment and social outlook Trends 15 INTERNATIONAL LABOUR OFFICE GENEVA Copyright International Labour Organization 15
CHAPTER ELEVEN THE N-11: MORE THAN AN ACRONYM March 2007 THE N-11: MORE THAN AN ACRONYM The N-11 Dream Late in 2005, we introduced the concept of the Next Eleven (N-11). Our purpose was to identify those
Employment Policy Department EMPLOYMENT Working Paper No. 162 2014 At work but earning less: Trends in decent pay and minimum wages for young people Damian Grimshaw Employment and Labour Market Policies
FEDERAL RESERVE BANK OF SAN FRANCISCO WORKING PAPER SERIES Which Industries are Shifting the Beveridge Curve? Regis Barnichon Federal Reserve Board of Governors Michael Elsby University of Michigan and