http://www.sba.gov/advo/stats/stateofsb2001.pdf


http://www.census.gov/prod/3/98pubs/98statab/sasec17.pdf




http://www.census.gov/prod/2004pubs/03statab/business.pdf



http://www.sba.gov/advo/stats/stateofsb1997.pdf





Regression Models of Establishment Employment Change
The tables in the preceding section show what has happened in terms of establishment employment
change by firm size between 1992 and 1996. They do not, however, provide any insight into the determinants
of establishment employment change. Regression analysis is a statistical technique that can be used to explain
the variation in one variable--in this case, relative establishment employment change--resulting from variations
in one or more related, explanatory variables. For policy analysis purposes, it would be useful to have data
on explanatory variables pertaining to policy instruments, such as business income tax and employment tax
rates. Unfortunately, the BITS doesn't currently contain such data, but it does contain data on variables known
to affect employment change--viz., base-year establishment age, employment size, and location (including
state, region, and MSA).
http://www.sba.gov/ADVO/laws/flex/rfrguide.html
Information on business profits from IRS is elusive. For sole proprietors and partnerships, only data on net income are available. Statistics on the preferred variablesþreturn on assets or return on investmentþare not obtainable directly from the tax return; they may be found only in balance-sheet information.
For small business corporations, data are more readily available. The IRS' Source Book for Corporations contains data for corporations by asset size class. Balance sheet and income statement information is available for corporations in about 15 different asset classes. From these detailed data, it is possible to calculate rates of return on assets as well as the profits of small business (generally subchapter S) corporations. Data on Self-Employed Persons Each year, the March Current Population Survey (CPS) of the Bureau of the Census asks a series of expanded questions about self-employed persons as part of its firm size supplement. These questions include the hours and weeks spent working in the business during the previous year, the income earned, the demographics of the business owner, whether the firm (owner) has or provides benefits and several related questions about the industry of the firm.
Private Data Sources The Kauffman-Ernst & Young Data Base of Fast Growth Companies (KEYFGC) is a promising new data base that relies on data from two sources: the accounting firm of Ernst and Young (for employment and sales information) and the Dun and Bradstreet Corporation (for financial data). Four years of information are currently available on each firm, including income statement and balance sheet information. The major promise of this data base is the ability to understand where and how fast growing companies develop over timeþincluding their detailed locations and industries. In addition, the KEYFGC data set is one of the only data bases with actual financial data available on individual (but unidentified) companies.
http://www.sba.gov/advo/stats/wkp03co.pdf
Trying to connect Sales to Employees, but they don't seem to fit together? I don't get it.

http://www.bls.gov/opub/mlr/2000/04/art3full.pdf
1998

http://148.129.75.160/paper.php?paper=100136
1985
According to the Small
Business Administration (SBA), there
was 15.3 million businesses operating nationwide in 1985. 4
Nearly one third of these "firms" consisted of individuals--
utilizing no paid employees--who were pursuing self-employment on
a part-time basis.
According to Birch, "there are about seven million
companies, close to 90 percent of which employ fewer than 20
workers." His definition of "small business" and "company" are
not precisely stated.
Firms with fewer than five employees accounted for 76.3 percent
(table two) of the small business employers and these same
businesses accounted for 28.1 percent of the employee total.
Firms with 20 or more employees made up 3.4 percent (table two) of the employer universe, and 33.9
percent of the small business employee pool worked for these same firms.
http://www.sba.gov/advo/stats/sbfaq.html
Represent more than 99.7 percent of all employers.
Employ more than half of all private sector employees
Pay 44.5 percent of total U.S. private payroll.
Generate 60 to 80 percent of net new jobs annually.
Create more than 50 percent of nonfarm private gross domestic product (GDP).
Supplied 22.8 percent of the total value of federal prime contracts (about $50 billion) in FY 2001.
Produce 13 to 14 times more patents per employee than large patenting firms. These patents are twice
as likely as large firm patents to be among the one percent most cited.
Are employers of 39 percent of high tech workers (such as scientists, engineers, and computer
workers ) .
Are 53 percent home-based and 3 percent franchises.
Made up 97 percent of all identified exporters and produced 29 percent of the known export value in
FY 2001
http://www.jaxworks.com/
Of the nearly 10.3 million workers designated as self-employed, only 16.9 percent had other paid
employees in 2003, according to a new study by the Bureau of Labor Statistics.
http://www.bls.gov/opub/mlr/1994/10/art3full.pdf
1992

http://www.census.gov/prod/ec97/e97cs-1.pdf
1997
SIZE
OF FIRM
All
firms with paid employees accounted for 25.4 percent

http://www.nfib.com/object/2725310.html
http://www.taxfoundation.org/press_releases/2004-8-05_Business-Income.html
55% of all taxes paid by business owners
taxes on a small business etc… how to structure your small business to avoid taxes
http://www.smbiz.com/sbw1119.html
how for asmall bsiness to beat taxes
http://www.nfib.com/page/researchFoundation
(under trends)


http://www.cfib.ca/legis/manitoba/pdf/MB_2001_pre-budget_submission.pdf
Canada study show small businesses hate rising personal income tax rates



http://www.cfib.ca/research/reports/nb_primer_04_e.pdf
Another Canada small business paper, good clear graphs and charts on a lot of things (not tax and employment tho). very illustrating generally.http://www.inlandrevenue.gov.uk/pdfs/bathv1.pdf
in-depth British study on the hassle of compliance and paper work, small firms stuck with high costs
http://www.sba.gov/advo/research/rs206tot.pdf
As
before, it is useful to provide a more direct measure of the impact of changes in tax
rates.
Our results imply that a five percentage point increase in marginal
tax rates leads to a 9.9
percent
decline in the mean investment expenditures. In short, changes in the user cost of capital
induced
by increases in marginal tax rates have a substantial impact on entrepreneurs’
investment
spending.
But
there is little research on the factors that determine entrepreneurs’
hiring
decisions. In particular, not much is known about the effect of an
entrepreneur’s personal
income
tax situation on his or her hiring decisions. A popular belief is that tax
increases inhibit
entrepreneurs
from hiring labor. For example, after taxes were increased in 1993, Rigby [1994]
quoted
an entrepreneur who planned:
to
reduce his labor force of 40 people to pay his firm’s increased
data
that are drawn from the Statistics of Income Individual Tax files for 1985 and 1988. Here
we
focus on individuals who filed a Schedule C in both 1985 and 1988, of whom there are
6,078.31
However,
they do report their wage bill. Whether the wage bill is positive or zero tells us
whether
the entrepreneur has hired any labor.
Statistical
Analyses. The complete set of results for our model of labor demand by
entrepreneurs
is in Appendix Table 3.6. The key finding is that the greater the percentage
increase
in a sole-proprietor’s tax price (i.e.,
the greater the decline in the tax rate), the more
likely
that he or she hired some labor. Moreover, as in our other analyses, we are able to rule out
the
possibility of reverse causation; these estimates reflect the impact of the tax code on hiring
decisions
and not the reverse. Moreover, our results are not sensitive to the particulars of our
decisions
on the sample size and composition, specification of the variables under study, or
statistical
procedures.
To
assess the quantitative significance of our results, we use the model to simulate the
impact
of a 10 percent rise in the tax price. For example, the top bracket rate currently is 39.6
percent.
Reducing this rate to 33.2 percent would generate a 10 percent rise in the tax prices
faced
by entrepreneurs in this bracket. The simulation results indicate
that the tax rate reduction
increases
the mean probability of employing labor from 0.215 to 0.241, or 12.1 percent, implying
an
elasticity of 1.21. It appears that marginal tax rates have a substantial effect on the propensity
of
entrepreneurs to hire workers.
http://www.datacards.com/LIS/LIS74986.htm
(only businesses that sign up with them, from surveys)
Annual Sales:
Under $1 Million 124,095
$1 Million - $2.5 Million 31,540
$2.5 Million - $5 Million 17,246
$5 Million - $10 Million 10,646
$10 Million - $25 Million 6,663
$25 Million - $50 Million 1,687
$50 Million - $100 Million 642
$100 Million - $250 Million 120
$250 Million - $500 Million 13
Over $500 Million 12
Number of Employees:
Under 10 112,661
10 - 24 42,235
25 - 49 19,943
50 - 99 10,221
100 - 249 5,586
250 - 499 1,507
500 - 999 257
1,000 - 2,499 235
2,500 - 4,999 10
Over 5,000 12
http://www.financial-planning.com/pubs/fpi/20010509101.html
(rehash of
what we know, both sides spin)
In support of the 33% solution, the Treasury Department on Monday released an
analysis indicating that 77% of the tax relief triggered by cutting the top rate would go to small
business owners and entrepreneurs, including farmers, partnerships and sole proprietorships.
The department also estimated that small businesses make up about 800,000 of
the 1.3 million tax returns that would benefit from the lower 33% rate. Both estimates assumed the
plan was fully phased in, which under a House-passed bill backed by Bush would occur in 2006.
http://www.kc.frb.org/publicat/econrev/pdf/3q96golo.pdf
Fraction
of.. (smaller assets, less liekyl to make a profit)

www.nfib.com/object/PolicyGuide9.html


http://aspe.hhs.gov/2000gb/sec13.txt
good health insurance and other miscl small business with size, no tax bracket data
www.nfib.com/object/PolicyGuide2.html


http://www.dol.gov/asp/media/reports/osha-data/chart3-text.htm
Percent businesses audited by size. Mildly interesting. Are they lazy or are small bus growing? Or bus in general?
http://www.bls.gov/news.release/sept.nws.htm
12 different tables involving the percent of businesses that train their workers by size and stats about this
http://www.bls.gov/opub/mlr/2000/07/art1full.pdf
Historical data back to 1946, also job creation broken down by industry and some country comparisons



http://stats.bls.gov/opub/mlr/2000/04/art3full.pdf

http://www.census.gov/csd/cbo/1992/www/cbo9201.htm
1992
Bus Net Bef Taxes as Reported: Net Profit, $100,000 2.2%
Total 1992 Personal Income: $150,000 or More 5.3%
Percent of Owner's Tot Personal Income - 35% of owners say their business income accounts for 75-100% of their total income

PERFECT. WE NEED THIS FOR 2004!
stopped it after 1992
http://www.census.gov/prod/3/97pubs/cbo-9201.pdf
1992


















http://www.census.gov/prod/ec97/e97cs-1.pdf
1997
not as clean as the 1992 survey. without sizes, profits, income