Louisville/Jefferson County is the principal city of America’s 42nd largest metropolitan area, a 13-county, bi-state region with a 2006 population estimated at 1.2 million. It is the largest city by far in Kentucky, but it is neither Kentucky’s capital nor its center of political power.

The consolidated city, authorized by voter referendum in 2000 and implemented in 2003, is home to 701,500 residents within its 399 square miles, with a population density of 4,124.8 per square mile.² It is either the nation’s 16th or its 26th largest incorporated place, depending on whether the residents of smaller municipalities within its borders, who are eligible to vote in its elections, are counted (as local officials desire and U.S. Census Bureau officials resist). The remainder of the metropolitan statistical area (MSA) population is split between four Indiana counties (241,193) and eight Kentucky counties (279,523). Although several of those counties are growing rapidly, the new Louisville metro area remains the MSA's central hub, with 57 percent of the population and almost 70 percent of the job base.

Centrally located on the southern banks of the Ohio River, amid an agriculturally productive, mineral rich, and energy producing region, Louisville is commonly described as the northernmost city of the American South. Closer to Toronto than to New Orleans, and even slightly closer to Chicago than to Atlanta, it remains within a day’s drive of two-thirds of the American population living east of the Rocky Mountains.

This location has been the dominant influence on Louisville’s history as a regional center of trade, commerce and manufacture. The city, now the all-points international hub of United Parcel Service (UPS), consistently ranks among the nation’s top logistics centers. Its manufacturing sector, though much diminished, still ranks among the strongest in the Southeast. The many cultural assets developed during the city’s reign as a regional economic center rank it highly in various measures of quality of life and “best places.”

Despite these strengths, Louisville’s competitiveness and regional prominence declined during much of the last half of the 20th Century, and precipitously so during the economic upheavals of the 1970s and ‘80s. Not only did it lose tens of thousands of manufacturing jobs and many of its historic businesses to deindustrialization and corporate consolidation, it also confronted significant barriers to entry into the growing knowledge-based economy because of its poorly-educated workforce, lack of R&D capacity, and risk-averse business culture.

In response, Louisville began a turbulent, two-decade process of civic and economic renewal, during which it succeeded both in restoring growth in its traditional areas of strength, most notably from the large impact of the UPS hub, and in laying groundwork for 21st century competitiveness, most notably by substantially ramping up university-based research and entrepreneurship supports. Doing so required it to overhaul nearly every aspect of its outmoded economic development strategies, civic relationships, and habits of mind, creating a new culture of collaboration.

Each of the three major partners in economic development radically transformed themselves and their relationships with one another. The often-paralyzing city-suburban divide of local governance yielded to consolidation. The business community reconstituted itself as a credible champion of broad-based regional progress, and it joined with the public sector to create a new chamber of commerce that is the region’s full-service, public-private economic development agency recognized as among the best in the nation. The Commonwealth of Kentucky embraced sweeping education reforms, including major support for expanded research at the University of Louisville, and a “New Economy” agenda emphasizing the commercialization of research-generated knowledge. Creative public-private partnerships have become the norm, propelling, for instance, the dramatic resurgence of downtown.

The initial successes of all these efforts have been encouraging, but not yet sufficient for the transformation to innovation-based prosperity that is the goal. This report details those successes, and the leadership, partnerships, and strategies that helped create them. It begins by describing Louisville’s history and development and the factors that made its economy grow and thrive. It then explains why the city faltered during the latter part of the 20th century and how it has begun to reverse course. In doing so, the study offers important lessons for other cities that are striving to compete in a very new economic era. 

Download Case Study » (PDF)

Downloads

• Download

There are lots of good reasons to go to college, but the vast majority of prospective students in this country report[i] that they’ll go to college because they believe that it will improve their employment opportunities and financial wellbeing. And for the most part, they’re right. Despite many suggestions to the contrary, it’s very well documented[ii] that investments in higher education pay large dividends in the form of future earnings. This makes higher education one of the most important tools we have for generating social mobility. Regardless of an individual’s starting point in life, higher education offers access to greater financial well-being. Unfortunately, it’s not a fail proof system.

Investments in education, like investments in the stock market, do not come without risk. In financial markets, access to information is one way investors mitigate risk. Mutual funds, for example, disclose average returns over various time periods for certain categories of investments (e.g. large-cap funds, emerging market funds, technology funds, etc.), in addition to other information. These data, moreover, are widely and freely available through consumer-oriented websites like Yahoo Finance, Vanguard, and E-Trade. Yet, for higher education, students have had access to no analogous information until quite recently.

For decades, economists discussed the average benefits of a college education compared to a high school education with no regard to either field of study or institution. Finally, in 2009, the Census Bureau started collecting data that could be used to assess which majors pay the most,[iii] and then just a few months ago, the Department of Education released data on the earnings of alumni by institution, for all students who receive federal grants or loans. These data can be further analyzed, as we have done, to estimate the economic contribution of schools (or value-added) as distinct from the outcomes attributable to student characteristics (like test scores).[iv] Still, even with these data advances, students cannot compare earnings by major across institutions, except in a handful of cases using state data systems.

Here, we illustrate how data by major and institution can inform the decision of what to study and where using data from Texas. Suppose first that this student is a Texas resident and has decided she would like to pursue a bachelor’s degree at a public institution in her state.

Our data on alumni earnings by major comes from the Texas Higher Education Board, and we combine it with information on the net cost of tuition from the Department of Education’s IPEDS database as reported in the College Scorecard.[v] We use these data to estimate the ten-year return on investment for each institution in the state of Texas by major.   

We calculate an estimate of ten-year return by summing the average earnings faced by graduates over the first ten years following graduation[vi] and subtracting off the wage they would have received as a high school graduate without a degree (taking into account additional years of earnings when they would have been enrolled in college). To estimate this benchmark, we used data on Texas residents from the Annual Social and Economic Supplement to the Current Population Survey, obtained via IPUMS CPS.[vii] We then subtract the institution specific costs[viii] to get the ten-year financial return. Since education pays off over a lifetime, this isn’t the ideal exercise, but it’s still informative. We’ve estimated these returns based on the population of individuals who both complete their degree and do not go on to complete graduate study. Ideally, these estimated expected returns would be adjusted to account for how earnings and costs are affected by non-completion. Indeed, the average rate of completion across these schools is only 48 percent. This is a quick and dirty method for estimating returns that fails to take into account a number of selection issues,[ix] but we believe that it still provides an effective illustration of risk in higher education. 

Figure 1 illustrates the potential average outcome facing our Texas student, who is deciding between bachelor’s degree programs from the set of public institutions in her home state. We’ve plotted the distribution of financial returns for the set of potential expected outcomes, which are defined as all combinations of institution and major. To be clear, the distribution of potential outcomes would be far wider if we were using individual specific variation (i.e. the fact that some students will ultimately earn more than others, even with the same degree from the same institution) and the real possibility of non-completion.

We know that, on average, this student will face a positive return on her investment, wherever she chooses to go. The average rate of return across all possible choices facing this student is quite a sizeable 11.3 percent (or $216,000 in undiscounted 2014 dollars). At a systemic level that’s important.  Still, the standard deviation is 6.7, with a low return of a -6.6 percent (Animal Science at Sul Ross State) and a high return of 79.8 percent (Registered Nursing at UT Brownsville). Out of 1065 combinations of majors and schools, 19 yielded average negative returns. This was true even for two programs at the selective UT Austin campus (Visual and Performing Arts and Classics). 1.1 percent of students who graduated in 2004 were in a major-institution combination that yielded a net return below 4 percent. In such cases, they would have been better off putting their dollars into treasury bills.

Figure 1. Mean return on bachelor’s degree investment by institution and major, for Texas residents who graduated in 2004 from a Texas public college

Students who know what they want to major in could benefit greatly from knowing which school is likely to generate the largest pay off (it would be nice to know this in terms of learning as well as money, but that is another more complicated matter).

We’ve illustrated the distribution of potential outcomes for two different popular majors, Liberal Arts and Sciences and Electrical Engineering.[x] Both majors clearly offer a significant average rate of return across all institutions (12 for Liberal Arts and 20 for Electrical Engineering), but depending on which major they choose the student will face a different level of risk in their future earnings. The variation (standard deviation) in the expected rate of return across institutions is much larger for Liberal Arts majors (5.7) than for Electrical Engineering majors (3.7). Yet, while these facts may discourage people from pursuing a Liberal Arts major in the abstract, the plot below does show that some Liberal Arts majors out-earn their peers in electrical engineering. For example, Liberal Arts majors from UT Austin earned a higher return than electrical engineering majors at UT Dallas, the University of Houston, and three other UT campuses. Thus, these more detailed facts can actually encourage students to pursue majors that look economically bad for the average student but quite attractive at a particular school with a strong program.

Figure 2. Distribution of earnings 10 years after graduation for bachelor’s degree holders with an Electrical Engineering or Liberal Arts degree, for Texas residents and 2004 graduates from Texas public colleges 

The point is that college degrees, like other investments, are risky, but information goes a long way to clarify the nature of that risk and improve the quality of investment decisions. In addition to providing students and the public greater access to data on market performance of alumni, there are a number of innovations both in the policy arena and in the private market that could help make college investments less risky. First of all, innovative financing systems that allow students to pay for their investment over a longer period of time and tie repayment to earnings would greatly limit downside risk for students.  Second, institutions have the capacity to shoulder some of this risk, and a proposal known as risk-sharing[xi] is gaining some traction and would require schools to pay the federal government some portion of loan default losses. On a voluntary basis, some colleges have offered on-time graduation guarantees[xii] and wage guarantees.[xiii] And last, new business models in higher education could help mitigate risk. Part of the problem in the current system comes from the all-or-nothing regime in which students have to invest in a bundle of coursework (i.e. a degree) in order to reap significant returns. The growing prominence of new models, like micro-credentials[xiv] and coding boot camps,[xv] can offer alternatives that don’t require students to put all of their eggs in one basket.

After decades of neglect, Latin American governments are increasingly focusing on urban slums. What often spurs their policy interventions is a desire to counter violent criminality leaking out from the poor marginalized slums controlled by gangs into the city centers the better-off residents want to keep safe. But tackling the socioeconomic dynamics of slums -- the trap of poverty, discrimination, lack of public goods and social services, and rule by nonstate actors -- is not only complex, but also costly. Governments, elites, and middle classes tend not to want to spend resources on slums. Effective policies have to be sustained for decades, and political will and tax revenues for such complex state-building are frequently scarce.

Focusing on a discreet intervention – providing low-cost housing – becomes tempting. Rarely is it sufficient. The condition of the buildings alone is not what makes a slum a slum. Moving residents from slums to better low-cost housing has encountered systematic challenges not just in Latin America, but also in other places where it has been tried, such as Kenya. Instead, policies need to focus on broader community dynamics, including public safety, legal job creation with sufficient income, human capital development, and robust connectivity of slums to economically-thriving areas, something residents of the latter often don’t want.

Paradoxically, real estate dynamics can have pernicious effects. If broader pacification does take hold and public safety in slums increases, some slum areas can become desirable real estate with vast development possibilities. Developers may well seek to buy the land by offering “better” low-cost housing to slum residents to get them to move. Since many slum residents do not have title to their residences, forced displacement also occurs, albeit under the cloak of being nice to the poor.

Instead of being limited to the provision of alternative residences, policies to address slums need to be about inclusion, economic growth, safety, and connectivity of slums with the thriving city parts, and accountability of city-governance authorities.

This commentary was originally published by the Inter-American Dialogue’s Latin America Advisor. 

“If the Americans and their regional allies want to pass through the Strait of Hormuz and threaten us, we will not allow any entry,” said deputy commander of Iran’s Revolutionary Guards, Hossein Salami, last Wednesday. Iran has a long history of making threats against this critical waterway, through which some 17 million barrels of oil exports pass daily, though it has not carried them out. But multiple regional security threats highlight threats to energy transit from and through the Middle East and North Africa (MENA)—and demand new thinking about solutions.

Weak spots

Hormuz attracts attention because of its evident vulnerability. But recent years have seen severe disruptions to energy flows across the region: port blockades in Libya; pipeline sabotage in Egypt’s Sinai, Yemen, Baluchistan in Pakistan, and Turkey’s southeast; attacks on oil and gas installations across Syria and Iraq; piracy off Somalia. Energy security is threatened at all scales, from local community disturbances and strikes, up to major regional military confrontations.

Of course, it would be best to mitigate these energy security vulnerabilities by tackling the root causes of conflict across the region. But while disruption and violence persist, energy exporters and consumers alike should guard against complacency.

A glut of oil and gas supplies globally—with low prices, growing U.S. self-sufficiency, and the conclusion of the Iranian nuclear deal—may seem to have reduced the urgency: markets have hardly responded to recent flare-ups. But major economies – even the United States – still remain dependent, directly or indirectly, on energy supplies from the MENA region. Spare oil production capacity is at unusually low levels, leaving the balance vulnerable to even a moderate interruption.

Most concern has focused on oil exports, given their importance to the world economy. But the security of liquefied natural gas (LNG) shipments is an under-appreciated risk, particularly for countries such as Japan and South Korea which are heavily dependent on LNG. A disruption would also have severe consequences for countries in the Middle East and North Africa, depriving them not only of revenues but potentially of critical imports.

Doing better 

There are three broad groups of approaches to mitigating the risk of energy transit disruptions: infrastructure, institutions, and market. 

1. Infrastructure includes the construction of bypass pipelines avoiding key choke-points and strategic storage.
   
   Existing bypass pipelines include SUMED (which avoids the Suez Canal); the Habshan-Fujairah pipeline in the UAE (bypassing Hormuz); and the Saudi Petroline, which runs to the Red Sea, hence offering an alternative to the Gulf and Hormuz. Proposed projects include a link from other Gulf Cooperation Council (GCC) countries to Oman’s planned oil terminal at Duqm on the Indian Ocean; new or rehabilitated pipelines from Iraq across Jordan and Turkey; an expansion of Petroline; and a new terminal in southern Iran at Jask.
   
   Strategic storage can be held by oil exporters, by importers, or a combination (in which exporters hold oil close to their customers’ territory, as with arrangements between Saudi Arabia and Japan, and between Abu Dhabi and Japan and India).


2. Institutional approaches include mechanisms to deal with disruptions, such as cooperative sharing arrangements.
   
   More analysis has focused on infrastructure than on institutional and market mitigation. Yet these approaches have to work together. Physical infrastructure is not enough: it has to be embedded in a suitable framework of regulation, legislation, and diplomacy. Cross-border or multilateral pipelines require agreements on international cooperation; strategic storage is most effective when rules for its use are clear, and when holders of storage agree not to hoard scarce supplies. 
   
   The effective combination of infrastructure and institutions has a strategic benefit even if it is never used. By making oil exporters and consumers less vulnerable to threats, it makes it less likely that such threats will be carried out.
   
   Alliances can be useful for mutual security and coordination. However, they raise the difficult question of whom they are directed against. Mutually-hostile alliances would be a threat to regional energy security rather than a guarantor. Organizations such as the International Energy Agency (IEA), the International Energy Forum (IEF), Organization of Petroleum Exporting Countries (OPEC), Gulf Cooperation Council, and the Association of Southeast Asian Nations (ASEAN) could all have roles, but none is ideally placed. Rather than creating another organization, reaching an understanding between existing bodies may be more effective.


3. In general, markets cope well with the task of allocating scarce supplies. Better and timelier data, such as that gathered by the IEF, can greatly improve the functioning of markets. Governments do have a role in protecting the most vulnerable consumers and ensuring sufficient energy for critical services, but price controls, rationing, and export bans have usually been counterproductive, and many of the worst consequences of so-called energy crises have come from well-meaning government interference with the normal market process of adjustment.
   
   However, it is generally difficult or impossible for a single company or country to capture all the benefits of building strategic infrastructure—which, as with a bypass pipeline, may only be required for a few months over a period of decades. International financing, perhaps backed by a major energy importer—mostly likely China—can help support such projects, particularly at a time of fiscal austerity in the Middle East.

Energy exporters within the MENA region may often find their interests divergent. But the field of energy security is one area for more fruitful cooperation—at least between groups of states, and some external players, particularly their increasingly important Asian customers. If regional tensions and conflicts cannot be easily solved, such action at least alleviates one of the serious risks of the region’s turmoil.

For more on this topic, read Robin Mills’ new analysis paper “Risky routes: Energy transit in the Middle East.”

Event Information

The Brookings Doha Center (BDC) hosted a panel discussion on May 30, 2016, about the security of energy exports and energy transit from the Middle East and North Africa (MENA). The panelists were Robin Mills, nonresident fellow at the Brookings Doha Center; and Colonel Giuseppe Morabito, director of the Middle East Faculty at the NATO Defense College. Sultan Barakat, senior foreign policy fellow and director of research at the BDC, moderated the event, which was attended by members of Qatar’s diplomatic, academic, and media community.

Barakat introduced the session by stating that the current unsettled environment in the Middle East raises concerns over energy security, both within the region and amongst energy consumers in Europe, the United States, India, China, and elsewhere. Threats to energy infrastructure exist at all scales, from individual acts of crime, sabotage, and terrorism to major regional wars and conflicts. We have seen large swaths of land fall under the control of non-state actors while states struggle to protect their territories. The Middle East houses some of the most important chokepoints in the energy transit, but also happens to be one of the most unstable regions in the world. 

Mills started his remarks by highlighting paradoxes in the oil and gas markets today, where low global oil and gas prices are juxtaposed with high levels of global disruptions to energy transits. Concern over energy security is lacking as markets appear to pay less attention to risks, even though energy security faces some unprecedented challenges. Such indifference, he noted, may be appropriate for now given the oversupply and abundance of energy in the market. But even in the current market, some possible threats may have very severe effects on global energy supplies, threatening the economies of consumers, producers, and the global market alike.

Mills proceeded to list different risk scenarios. At the local level, he highlighted the threat of sabotage, where communities demanding a greater share of natural resources may block a pipeline or attack an export terminal; piracy, which, he argued, could emerge in regions beyond the coast of Somalia; and attacks by extremist groups, who are eager to get a hold on new sources of income. On a state level, there is the threat of major interstate wars between major exporters, which thankfully haven’t erupted yet.  Past interstate wars, however, have had very significant impacts on energy security. The 1973 war between Israel and Egypt lead to an embargo that triggered the first oil crisis. The 1980s Iran-Iraq war resulted in severe damage to the oil production facilities of both countries and involved a tanker war which destroyed tankers passing through the Strait of Hormuz, resulting in an intervention by both the United States and the Soviet Union to protect shipping.

Hormuz, Mills continued, is one of numerous chokepoints—narrow channels along widely-used global sea routes that are crucial to the energy business. Given their narrowness, they tend to be obvious disruption targets. Hormuz carries about 17 million barrels per day (more than 20%) of oil exports. It is also the sole route for LNG export from Qatar, a crucial source of gas for East Asia and Europe. Other important chokepoints in the region are the Suez Canal, the southern entrance to the Red Sea, and the Bosporus Straits in Turkey. Any interruption of transit along those key areas would be highly detrimental.

Mills argued that, beyond attacks and wars, there is a broader and more diffuse threat to energy security, which has to do with investment. While it is true that investors can handle some level of risk in countries with moderate levels of insecurity like Nigeria, not all levels of insecurity can be worked with. At some point, insecurity can become too severe, deterring investment or even preventing it entirely. In the long term, this deters the development of promising new sources of oil and gas.

In response to a question from Barakat about NATO’s perspective on energy security in the Middle East, Morabito argued that NATO is particularly concerned about its gas supplies from the region, as most NATO countries rely on the region for gas. He argued that NATO’s policies, however, are primarily reactive, driven by events. No major events have interrupted energy supplies in recent times, so energy security is hardly on the agenda of NATO policymakers. There are more pressing issues these days, such as the threat of the Islamic State group (IS) and that of Russia’s Vladimir Putin.

In fact, Morabito continued, it is difficult to focus NATO’s attention on the issue because there doesn’t seem to be one. In the past, oil prices went up simply due to a war in Lebanon, which isn’t even an energy exporter. Today, however, we have a war that involves Saudi Arabia, the largest oil producer, but prices have been declining. The markets are very different today, mainly due to the development of shale technologies.

Nevertheless, Morabito noted that he thinks NATO, or some NATO nations, have intervened to secure their energy interests by training interstate groups such as the Kurds in Iraq or paying tribesmen in Algeria to protect pipelines that flow towards Europe. He noted that protecting pipelines is a costly business. A pipeline of 1,000 kilometers requires the presence of at least two soldiers every 50 meters; those two would have to work in shifts which necessitates hiring yet another two. Even then, an attack by only 50 militants would likely see the pipeline destroyed. This high cost makes it crucial to cooperate with local groups if proper security is to be insured.

Mills noted that European countries have become far less vulnerable to interruptions in supply, which were historically mainly caused by conflicts with Russia. He attributed that to interventions by the European Union to mitigate those vulnerabilities. He noted that in addition to institutional interventions, infrastructural development and market forces are also key in mitigating risks to the energy transit. When it comes to infrastructure, pipelines can be developed to bypass chokepoints, strategic storage can be built to provide countries with an emergency stock of oil and gas, and in some rare cases spare capacity can be employed to fill gaps in supply. Additionally, too often, government action to impose price controls, rationing, and export bans has proven to be counterproductive. It is important to allow the market to correct itself freely, although market mechanisms could be aided by better data.

After a Q&A session that asked about whether there truly are any real threats to Hormuz, the role that multi-national corporations can play in securing energy security, and threats to energy transit stemming from outside the MENA region.  Barakat concluded by thanking the guests and stating that energy security is yet another reason why the region should work to resolve its differences and put an end to regional wars and rivalries.

Video

• Risky routes: Energy transit in the Middle East

Event Materials

• EnergyTransitTranscript0516doc

Louisville/Jefferson County is the principal city of America’s 42nd largest metropolitan area, a 13-county, bi-state region with a 2006 population estimated at 1.2 million. It is the largest city by far in Kentucky, but it is neither Kentucky’s capital nor its center of political power.

The consolidated city, authorized by voter referendum in 2000 and implemented in 2003, is home to 701,500 residents within its 399 square miles, with a population density of 4,124.8 per square mile.² It is either the nation’s 16th or its 26th largest incorporated place, depending on whether the residents of smaller municipalities within its borders, who are eligible to vote in its elections, are counted (as local officials desire and U.S. Census Bureau officials resist). The remainder of the metropolitan statistical area (MSA) population is split between four Indiana counties (241,193) and eight Kentucky counties (279,523). Although several of those counties are growing rapidly, the new Louisville metro area remains the MSA's central hub, with 57 percent of the population and almost 70 percent of the job base.

Centrally located on the southern banks of the Ohio River, amid an agriculturally productive, mineral rich, and energy producing region, Louisville is commonly described as the northernmost city of the American South. Closer to Toronto than to New Orleans, and even slightly closer to Chicago than to Atlanta, it remains within a day’s drive of two-thirds of the American population living east of the Rocky Mountains.

This location has been the dominant influence on Louisville’s history as a regional center of trade, commerce and manufacture. The city, now the all-points international hub of United Parcel Service (UPS), consistently ranks among the nation’s top logistics centers. Its manufacturing sector, though much diminished, still ranks among the strongest in the Southeast. The many cultural assets developed during the city’s reign as a regional economic center rank it highly in various measures of quality of life and “best places.”

Despite these strengths, Louisville’s competitiveness and regional prominence declined during much of the last half of the 20th Century, and precipitously so during the economic upheavals of the 1970s and ‘80s. Not only did it lose tens of thousands of manufacturing jobs and many of its historic businesses to deindustrialization and corporate consolidation, it also confronted significant barriers to entry into the growing knowledge-based economy because of its poorly-educated workforce, lack of R&D capacity, and risk-averse business culture.

In response, Louisville began a turbulent, two-decade process of civic and economic renewal, during which it succeeded both in restoring growth in its traditional areas of strength, most notably from the large impact of the UPS hub, and in laying groundwork for 21st century competitiveness, most notably by substantially ramping up university-based research and entrepreneurship supports. Doing so required it to overhaul nearly every aspect of its outmoded economic development strategies, civic relationships, and habits of mind, creating a new culture of collaboration.

Each of the three major partners in economic development radically transformed themselves and their relationships with one another. The often-paralyzing city-suburban divide of local governance yielded to consolidation. The business community reconstituted itself as a credible champion of broad-based regional progress, and it joined with the public sector to create a new chamber of commerce that is the region’s full-service, public-private economic development agency recognized as among the best in the nation. The Commonwealth of Kentucky embraced sweeping education reforms, including major support for expanded research at the University of Louisville, and a “New Economy” agenda emphasizing the commercialization of research-generated knowledge. Creative public-private partnerships have become the norm, propelling, for instance, the dramatic resurgence of downtown.

The initial successes of all these efforts have been encouraging, but not yet sufficient for the transformation to innovation-based prosperity that is the goal. This report details those successes, and the leadership, partnerships, and strategies that helped create them. It begins by describing Louisville’s history and development and the factors that made its economy grow and thrive. It then explains why the city faltered during the latter part of the 20th century and how it has begun to reverse course. In doing so, the study offers important lessons for other cities that are striving to compete in a very new economic era. 

Download Case Study » (PDF)

Downloads

• Download

In 2011, Libya’s revolution knocked most of its oil production offline for months, resulting in a loss of nearly 2 percent of global production and a corresponding increase in oil prices. The security of energy exports and energy transit from the Middle East and North Africa (MENA) region, given its paramount importance to the global economy, has long been a concern. The current, very unsettled political situation in the region has made that concern even more salient.

Read "Risky Routes: Energy Transit in the Middle East"

In a new Brookings Doha Center Analysis Paper, Robin Mills identifies the key points of vulnerability in MENA energy supply and transit, including the pivotal Strait of Hormuz and a number of important pipelines. Mills also assesses the impact of possible disruptions on both the global economy and MENA states themselves.

Mills argues that to mitigate such disruptions, infrastructural, institutional, and market approaches must be used together. Mills highlights the need for improved assessments of the viability of various infrastructure projects and calls for the development of regional institutional arrangements that can better manage transit crises as they arise.

Downloads

• English PDF
• Arabic PDF

Earlier this month, the College Board released SAT scores for the high school graduating class of 2015. Both math and reading scores declined from 2014, continuing a steady downward trend that has been in place for the past decade. Pundits of contrasting political stripes seized on the scores to bolster their political agendas. Michael Petrilli of the Fordham Foundation argued that falling SAT scores show that high schools need more reform, presumably those his organization supports, in particular, charter schools and accountability.* For Carol Burris of the Network for Public Education, the declining scores were evidence of the failure of polices her organization opposes, namely, Common Core, No Child Left Behind, and accountability.

Petrilli and Burris are both misusing SAT scores. The SAT is not designed to measure national achievement; the score losses from 2014 were miniscule; and most of the declines are probably the result of demographic changes in the SAT population. Let’s examine each of these points in greater detail.

It never was. The SAT was originally meant to measure a student’s aptitude for college independent of that student’s exposure to a particular curriculum. The test’s founders believed that gauging aptitude, rather than achievement, would serve the cause of fairness. A bright student from a high school in rural Nebraska or the mountains of West Virginia, they held, should have the same shot at attending elite universities as a student from an Eastern prep school, despite not having been exposed to the great literature and higher mathematics taught at prep schools. The SAT would measure reasoning and analytical skills, not the mastery of any particular body of knowledge. Its scores would level the playing field in terms of curricular exposure while providing a reasonable estimate of an individual’s probability of success in college.

Note that even in this capacity, the scores never suffice alone; they are only used to make admissions decisions by colleges and universities, including such luminaries as Harvard and Stanford, in combination with a lot of other information—grade point averages, curricular resumes, essays, reference letters, extra-curricular activities—all of which constitute a student’s complete application.

Today’s SAT has moved towards being a content-oriented test, but not entirely. Next year, the College Board will introduce a revised SAT to more closely reflect high school curricula. Even then, SAT scores should not be used to make judgements about U.S. high school performance, whether it’s a single high school, a state’s high schools, or all of the high schools in the country. The SAT sample is self-selected. In 2015, it only included about one-half of the nation’s high school graduates: 1.7 million out of approximately 3.3 million total. And that’s about one-ninth of approximately 16 million high school students.  Generalizing SAT scores to these larger populations violates a basic rule of social science. The College Board issues a warning when it releases SAT scores: “Since the population of test takers is self-selected, using aggregate SAT scores to compare or evaluate teachers, schools, districts, states, or other educational units is not valid, and the College Board strongly discourages such uses.”  

TIME’s coverage of the SAT release included a statement by Andrew Ho of Harvard University, who succinctly makes the point: “I think SAT and ACT are tests with important purposes, but measuring overall national educational progress is not one of them.”

SAT scores changed very little from 2014 to 2015. Reading scores dropped from 497 to 495. Math scores also fell two points, from 513 to 511. Both declines are equal to about 0.017 standard deviations (SD).^[i] To illustrate how small these changes truly are, let’s examine a metric I have used previously in discussing test scores. The average American male is 5’10” in height with a SD of about 3 inches. A 0.017 SD change in height is equal to about 1/20 of an inch (0.051). Do you really think you’d notice a difference in the height of two men standing next to each other if they only differed by 1/20^th of an inch? You wouldn’t. Similarly, the change in SAT scores from 2014 to 2015 is trivial.^[ii]

A more serious concern is the SAT trend over the past decade. Since 2005, reading scores are down 13 points, from 508 to 495, and math scores are down nine points, from 520 to 511. These are equivalent to declines of 0.12 SD for reading and 0.08 SD for math.^[iii] Representing changes that have accumulated over a decade, these losses are still quite small. In the Washington Post, Michael Petrilli asked “why is education reform hitting a brick wall in high school?” He also stated that “you see this in all kinds of evidence.”

You do not see a decline in the best evidence, the National Assessment of Educational Progress (NAEP). Contrary to the SAT, NAEP is designed to monitor national achievement. Its test scores are based on a random sampling design, meaning that the scores can be construed as representative of U.S. students. NAEP administers two different tests to high school age students, the long term trend (LTT NAEP), given to 17-year-olds, and the main NAEP, given to twelfth graders.

Table 1 compares the past ten years’ change in test scores of the SAT with changes in NAEP.^[iv] The long term trend NAEP was not administered in 2005 or 2015, so the closest years it was given are shown. The NAEP tests show high school students making small gains over the past decade. They do not confirm the losses on the SAT.

Table 1. Comparison of changes in SAT, Main NAEP (12^th grade), and LTT NAEP (17-year-olds) scores. Changes expressed as SD units of base year.

 *p<.05

Petrilli raised another concern related to NAEP scores by examining cohort trends in NAEP scores. The trend for the 17-year-old cohort of 2012, for example, can be constructed by using the scores of 13-year-olds in 2008 and 9-year-olds in 2004. By tracking NAEP changes over time in this manner, one can get a rough idea of a particular cohort’s achievement as students grow older and proceed through the school system. Examining three cohorts, Fordham’s analysis shows that the gains between ages 13 and 17 are about half as large as those registered between ages nine and 13. Kids gain more on NAEP when they are younger than when they are older.

There is nothing new here. NAEP scholars have been aware of this phenomenon for a long time. Fordham points to particular elements of education reform that it favors—charter schools, vouchers, and accountability—as the probable cause. It is true that those reforms more likely target elementary and middle schools than high schools. But the research literature on age discrepancies in NAEP gains (which is not cited in the Fordham analysis) renders doubtful the thesis that education policies are responsible for the phenomenon.^[v]

Whether high school age students try as hard as they could on NAEP has been pointed to as one explanation. A 1996 analysis of NAEP answer sheets found that 25-to-30 percent of twelfth graders displayed off-task test behaviors—doodling, leaving items blank—compared to 13 percent of eighth graders and six percent of fourth graders. A 2004 national commission on the twelfth grade NAEP recommended incentives (scholarships, certificates, letters of recognition from the President) to boost high school students’ motivation to do well on NAEP. Why would high school seniors or juniors take NAEP seriously when this low stakes test is taken in the midst of taking SAT or ACT tests for college admission, end of course exams that affect high school GPA, AP tests that can affect placement in college courses, state accountability tests that can lead to their schools being deemed a success or failure, and high school exit exams that must be passed to graduate?^[vi]

Other possible explanations for the phenomenon are: 1) differences in the scales between the ages tested on LTT NAEP (in other words, a one-point gain on the scale between ages nine and 13 may not represent the same amount of learning as a one-point gain between ages 13 and 17); 2) different rates of participation in NAEP among elementary, middle, and high schools;^[vii] and 3) social trends that affect all high school students, not just those in public schools. The third possibility can be explored by analyzing trends for students attending private schools. If Fordham had disaggregated the NAEP data by public and private schools (the scores of Catholic school students are available), it would have found that the pattern among private school students is similar—younger students gain more than older students on NAEP. That similarity casts doubt on the notion that policies governing public schools are responsible for the smaller gains among older students.^[viii]

Writing in the Washington Post, Carol Burris addresses the question of whether demographic changes have influenced the decline in SAT scores. She concludes that they have not, and in particular, she concludes that the growing proportion of students receiving exam fee waivers has probably not affected scores. She bases that conclusion on an analysis of SAT participation disaggregated by level of family income. Burris notes that the percentage of SAT takers has been stable across income groups in recent years. That criterion is not trustworthy. About 39 percent of students in 2015 declined to provide information on family income. The 61 percent that answered the family income question are probably skewed against low-income students who are on fee waivers (the assumption being that they may feel uncomfortable answering a question about family income).^[ix] Don’t forget that the SAT population as a whole is a self-selected sample. A self-selected subsample from a self-selected sample tells us even less than the original sample, which told us almost nothing.

The fee waiver share of SAT takers increased from 21 percent in 2011 to 25 percent in 2015. The simple fact that fee waivers serve low-income families, whose children tend to be lower-scoring SAT takers, is important, but not the whole story here. Students from disadvantaged families have always taken the SAT. But they paid for it themselves. If an additional increment of disadvantaged families take the SAT because they don’t have to pay for it, it is important to consider whether the new entrants to the pool of SAT test takers possess unmeasured characteristics that correlate with achievement—beyond the effect already attributed to socioeconomic status.

Robert Kelchen, an assistant professor of higher education at Seton Hall University, calculated the effect on national SAT scores of just three jurisdictions (Washington, DC, Delaware, and Idaho) adopting policies of mandatory SAT testing paid for by the state. He estimated that these policies explain about 21 percent of the nationwide decline in test scores between 2011 and 2015. He also notes that a more thorough analysis, incorporating fee waivers of other states and districts, would surely boost that figure. Fee waivers in two dozen Texas school districts, for example, are granted to all juniors and seniors in high school. And all students in those districts (including Dallas and Fort Worth) are required to take the SAT beginning in the junior year. Such universal testing policies can increase access and serve the cause of equity, but they will also, at least for a while, lead to a decline in SAT scores.

Here, I offer my own back of the envelope calculation of the relationship of demographic changes with SAT scores. The College Board reports test scores and participation rates for nine racial and ethnic groups.^[x] These data are preferable to family income because a) almost all students answer the race/ethnicity question (only four percent are non-responses versus 39 percent for family income), and b) it seems a safe assumption that students are more likely to know their race or ethnicity compared to their family’s income.

The question tackled in Table 2 is this: how much would the national SAT scores have changed from 2005 to 2015 if the scores of each racial/ethnic group stayed exactly the same as in 2005, but each group’s proportion of the total population were allowed to vary? In other words, the scores are fixed at the 2005 level for each group—no change. The SAT national scores are then recalculated using the 2015 proportions that each group represented in the national population.

Table 2. SAT Scores and Demographic Changes in the SAT Population (2005-2015)

The data suggest that two-thirds to three-quarters of the SAT score decline from 2005 to 2015 is associated with demographic changes in the test-taking population. The analysis is admittedly crude. The relationships are correlational, not causal. The race/ethnicity categories are surely serving as proxies for a bundle of other characteristics affecting SAT scores, some unobserved and others (e.g., family income, parental education, language status, class rank) that are included in the SAT questionnaire but produce data difficult to interpret.

Using an annual decline in SAT scores to indict high schools is bogus. The SAT should not be used to measure national achievement. SAT changes from 2014-2015 are tiny. The downward trend over the past decade represents a larger decline in SAT scores, but one that is still small in magnitude and correlated with changes in the SAT test-taking population.

In contrast to SAT scores, NAEP scores, which are designed to monitor national achievement, report slight gains for 17-year-olds over the past ten years. It is true that LTT NAEP gains are larger among students from ages nine to 13 than from ages 13 to 17, but research has uncovered several plausible explanations for why that occurs. The public should exercise great caution in accepting the findings of test score analyses. Test scores are often misinterpreted to promote political agendas, and much of the alarmist rhetoric provoked by small declines in scores is unjustified.