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By Lawrence J. McQuillan
Thomas Jefferson and Alexander Hamilton, though bitter political rivals, appreciated the
importance of economic freedom, a founding principle of our country. Thomas Jefferson wrote:
"A wise and frugal government shall restrain men from injuring one another, shall leave them
otherwise free to regulate their own pursuits of industry and improvement, and shall not take
from the mouth of labor the bread it has earned." In defense of economic freedom, Alexander
Hamilton warned: "Power over a man's
subsistence is power over his will." In our times,
President Ronald Reagan advanced this message.
In his famous Berlin Wall speech, President
Reagan observed: "Prosperity can come about only
when the farmer and businessman enjoy economic
freedom." In a separate address, he called for "fundamental reform that sees to it that our
economic freedom is every bit as protected as our
political freedom." Only recently, however, have
members of the academy caught up with these
champions of liberty by focusing empirical
research on this important founding principle.
A search of EconLit, the definitive database of scholarly economics literature, finds 162
publications on economic freedom since 1995; two thirds of these were produced in the past
five years. There has been an explosion of academic research on this theme but the bulk of it
has examined economic freedom across countries due to data availability.
The Heritage Foundation in Washington, D.C., and the Wall Street Journal have co-published
since 1995 an annual report titled Index of Economic Freedom. The Fraser Institute in Vancouver
and the Cato Institute in Washington, D.C., have co-published another cross-country annual
report since 1996 titled Economic Freedom of the World. Both indexes have received worldwide
media attention and spawned many studies, but neither looks at economic freedom across the
U.S. states.
The first excursion into U.S. economic freedom was made by John D. Byars, Robert E.
McCormick, and T. Bruce Yandle, all of Clemson University, in Economic Freedom in America's 50
States: A 1999 Analysis, published by the State Policy Network. The present study, U.S. Economic
Freedom Index: 2004 Report, is an effort to update, refine, and improve on this seminal work. It is
hoped that by measuring economic freedom and studying its effects, people will gain a fuller
appreciation of the important imprint it makes on the economic and political fabric of America
and encourage new legislation in the states that advances economic liberty.
Chapter 1. What Is Economic Freedom?
Economic freedom is the right of individuals to pursue their interests through voluntary exchange of private property under a rule of law. This freedom forms the foundation of market
economies. Subject to a minimal level of government to provide safety and a stable legal foundation, legislative or judicial acts that inhibit this right reduce economic freedom.
Government acts that advance this right increase economic freedom. This report focuses on state and local government actions as they relate to economic freedom; we do not judge the
wisdom, merit, or purpose of specific programs. |
Economic freedom is the right of individuals to pursue their interests through voluntary exchange of private property
under a rule of law. |
In a nutshell, economic freedom is the right of an individual to keep what he earns, produce what he wants, and compete in product and labor
markets of his choosing, subject to the restriction that he cannot use force or fraud to further his
interests. Clearly, this definition is in the tradition of our Founding Fathers' conception of a free and
just society and in line with the writings of classical liberals going back to Adam Smith who argued that humans' natural propensity to "truck,barter, and exchange"' will maximize social welfare. This definition, along with the economics
literature, guided our judgment as to which variables to include and how to score each
variable's freedom effect.
Chapter 2. Methodology and Variables
The methodology consists of four parts: (1) we compiled a set of indicator variables for
economic freedom and from that we created various data sets; (2) these data sets were
converted into 48 unique indexes using different weighting techniques; (3) we compared each
index to the others in terms of its ability to explain, other things equal, human migration; and
(4) the index with the greatest statistical link to migration was chosen as the best and we used
it to rank the U.S. states in terms of economic freedom.
Variables
We gathered data on 143 variables per state from 1995 to 2003 (data set 1, listed in appendix A).
This snapshot included tax rates, state spending, occupational licensing, environmental
regulations, income redistribution, right-to-work and prevailing-wage laws, tort reform, and
the number of government agencies, to name a few. Next, we cut some redundant variables
and averaged similar variables for compactness (appendix B explains this process). This data
parsing resulted in five different data sets (data sets 1-5).
Construction of Competing Indexes
For each of the five data sets, we calculated sector scores for each state. For example, data set 1
had 143 variables. We put each variable into one of five sectors: fiscal (51 variables), regulatory
(53), welfare spending (10), government size (7), and judicial (22). Each state's sector scores
were calculated by ranking each variable within a sector from 1 (most free) to 50 (least free).
Then we averaged the variable rankings within each sector to arrive at a sector score for each
state. For example, data set 1 had 51 fiscal-sector variables. A state's fiscal-sector score for data
set 1 was calculated by ranking each fiscal variable from 1 to 50 and then calculating an
average ranking from these 51-variable rankings. The same process was used to calculate scores
for the other four sectors. This process was repeated for each of the five data sets.
After sector scores were calculated for each state over all five data sets, various sector-score
weighting techniques were applied ranging from assigning arbitrary weights to using statistical
procedures such as principal components analysis to determine weights. Finally, weighted
sector scores were added together to arrive at overall index scores for each state. The various
combinations of data sets and weighting techniques yielded 48 unique indexes.
The Selection Criterion
These 48 indexes competed with each other to explain net population migration rates across
states using regression analysis. In the jargon of econometrics, the index we chose as best
yielded the highest R-squared among those equations having an index coefficient t-value
significant at the five-percent level or greater. This procedure selects the best, or final, index
empirically, and it conforms to the proper statistical methodology for choosing among two or
more equally plausible specifications.
Our criterion for selecting the best index among 48 applies a market-based definition of
freedom. We believe people want to be free: they
strive and work to be free, and search out
locations, governments, and situations where
freedom reigns. Migration is the purest
expression of individuals responding to
differences in freedom, including economic
freedom. |
Migration is the purest
expression of individuals
responding to differences in freedom, including economic
freedom. We adopt a migration
metric for economic freedom. |
We adopt a migration metric for
economic freedom. If people are moving from
one state to another, other things equal, we
assert that this is a market-based response to
differences in freedom. Ordinary people, voting with their feet, define freedom. In the end, our index offers the clear advantage that it is
evaluated in the marketplace by where people decide to live.
The Best Index
The index having the greatest statistical link to migration was Index40, constructed by
weighting data set 3 using first principal components weights. Data set 3 consisted of 47
variables, roughly the same number of variables as in the Heritage Foundation's international
index: 13 fiscal, 15 regulatory, eight welfare spending, three government size, and eight judicial
variables. Principal components weighting has been used for years in political science.
The
technique weights each sector based on the degree of useful information (variation) in the
sector, which enables finer distinctions among states to be clearly drawn. The sector-score
weights used to compute the final economic freedom score for each state were:
Index = (.3486 × Fiscal Score) + (.3422 × Regulatory Score) - (.1260 × Judicial Score) +
(.0627 × Government-Size Score) + (.3730 × Welfare-Spending Score)
The index score can range from 1 (most free) to 50 (least free), and state rankings were derived
from the index scores.
Chapter 3. The Results
Table 1 presents the economic freedom scores and rankings for the U.S. states, 2004.
Tenth in 1999, Kansas has assumed the lofty spot as the nation's most economically free state,
followed closely by Colorado and Virginia. Idaho, at the top of the 1999 list, remains high at
fourth. Rhode Island, Connecticut, California, and New York bring up the rear.
TABLE 1

Turning to the states that made the biggest progress from 1999 to 2004, we found that
Arizona advanced 14 places, and Colorado, Maine, Oklahoma, and Oregon each jumped 12
places. In contrast, Mississippi fell 19 places, Alabama 14, and Illinois, Kentucky, Ohio, and
South Dakota each sank 10 spots. Note that three
of the biggest decliners were in the South.
Kansas has assumed the lofty spot as the nationís most economically free state . . . Rhode Island, Connecticut, California, and New York bring up the rear.

FIGURE 1
Figure 1 plots economic freedom from
coast to coast, and a distinct pattern emerges. The
Great Plains and Rocky Mountain states, shaded
the lightest, have the most economic freedom.
New Hampshire persists in defying the pattern in
the Northeast. Maybe there is something to their
motto "Live Free or Die." Virginia stands as a
citadel of economic freedom in the South. The
darkest regions, reflecting the least amount of
economic freedom, are the Northeast and
Midwest, excluding Indiana, and California. Many of the nation's most densely populated
states are also some of the least economically free. This is consistent with leading economic
theories of the determinants of regulation.
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An important test of any index is showing relevance and usefulness. An index is valid, in a statistical sense, if it helps to explain the past or predict the future.
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Chapter 4. The Relation Between Economic Freedom and Income
An important test of any index is showing relevance and usefulness. An index is valid, in a
statistical sense, if it helps to explain the past or predict the future. To this end, we present
statistical evidence of the impact of economic freedom on annual income per capita across the
U.S. states.
We expect economic freedom to be positively linked, on average, to state annual income per
capita. Economic freedom expands the opportunities for individuals to use their knowledge
and resources to their best advantage and to keep the fruits of their labor for personal
consumption and future productive investment.
We constructed an economic model that explains the level of state annual income per capita
in 2000 as a function of the following state-level variables: education level (a proxy for human
capital as measured by the proportion of the
population with a high-school education or
more); average temperature (a proxy for the
work/leisure tradeoff); population density (a
proxy for the size of the market and level of
transaction costs as measured by the number of
residents per square mile); stock of wealth
(endowments as measured by annual income
per capita in 1990); average age of the
population (a proxy for the earnings life-cycle);
church membership rate (a proxy for the work ethic); and the institutional environment as measured by the state's economic freedom score.
The regression results (see table 6), robust across specifications, show that more economic
freedom is associated with higher income per capita across the U.S. states. The results are
virtually identical if economic freedom rankings are substituted for economic freedom scores.
The statistical analysis shows that a 10-percent improvement in a state's economic freedom
score yields, on average, about a half-percent increase in annual income per capita.
Finally, we asked: how much is economic freedom worth in dollar terms? Through
simulations, we artificially moved each state up to the top of the list. Then we computed the
impact on annual income per capita and compared it to the actual value in 2000. |
A 10-percent improvement in
a state's economic freedom
score yields, on average,
about a half-percent increase in annual income per capita.
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The difference
is an estimate of the economic harm caused to individuals in each state from limiting economic
freedom relative to the freest state, or, conversely, the value of more economic freedom. We
then divided each difference by the actual income level to calculate a state "oppression tax,"
which measures the percentage decrease in income per capita due to the deterioration in the
state's overall incentive system caused by its institutions – as measured by its economic
freedom ranking.
Relative to the freest state, Rhode Island residents suffered the largest reduction in annual
income per capita due to their loss of economic freedom, $3,607, followed by Hawaii at $2,963,
and New York and New Jersey at around $2,400 each (see table 7). The national average was
$1,161. This might not sound like much, but over a 40-year working life at a conservative 3 percent interest rate, this translates into $87,541 that would have otherwise gone into the
pocket of an average working American.
Rhode Island also had the highest effective "oppression tax," 13.17 percent, followed by
Hawaii at 11.36 percent, Maine at 7.61 percent,
and New York at 7.45 percent. The national
average was 4.42 percent of income. State
institutions have a substantial impact on income
levels across the U.S. states. Economic freedom
matters significantly.
Chapter 5. State Profiles
Chapter 5 presents, in almanac style, a number of
important features of each state's economy including personal income per capita, gross state product, and the unemployment rate. It also
summarizes the index results for each state, showing the overall 2004 score and rank, and the
1999 rank. For the sector scores, we devised a star system that divided the states into groups of
10. The freest 10 states in each sector received five stars for that sector. The second-freest 10
states received four stars and so on until the least-free 10 states received one star for that sector.
This star system provides a quick method of comparing states within each sector.
Conclusion
It has been said that liberty is a whole, and to deny economic liberty is finally to destroy all
liberty. In the end, irrespective of our love for freedom, our work was empirical, not romantic.
Our goal was to measure economic freedom across the U.S. states and also to measure some of
its effects.
The overseers of the Consumer Price Index, one of the oldest indexes in economics, write:
"An index is a tool that simplifies the measurement of movements in a numerical series." The
U.S. Economic Freedom Index is a tool for measuring economic freedom. Measurement is the first
step to understanding, and understanding is required for reasoned discussion and sound
policy reform. It is hoped that the U.S. Economic Freedom Index will ultimately contribute to
policy reforms that preserve and strengthen economic freedom for all Americans.
    
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