Recent studies that have emphasized the costs of accumulating reserves for self-insurance purposes have overlooked two potentially important side-effects. First, the impact of the resulting lower spreads on the service costs of the stock of sovereign debt, which could substantially reduce the marginal cost of holding reserves. Second, when reserve accumulation reflects countercyclical LAW central bank interventions, the actual cost of reserves should be measured as the sum of valuation effects due to exchange rate changes and the local-to-foreign currency exchange rate differential (the inverse of a carry trade profit and loss total return flow), which yields a cost that is typically smaller than the one arising from traditional estimates based on the sovereign credit risk spreads. We document those effects empirically to illustrate that the cost of holding reserves may have been considerably smaller than usually assumed in both the academic literature and the policy debate.
Since the early 2000s exchange-traded funds (ETFs) have grown to become an important in- vestment vehicle worldwide. In this paper, we study how their growth affects the sensitivity of international capital flows to the global financial cycle. We combine comprehensive fund- level data on investor flows with a novel identification strategy that controls for unobservable time-varying economic conditions at the investment destination. For dedicated emerging mar- ket funds, we find that the sensitivity of investor flows to global financial conditions for equity (bond) ETFs is 2.5 (2.25) times higher than for equity (bond) mutual funds. In turn, we show that in countries where ETFs hold a larger share of financial assets, total cross-border equity flows and prices are significantly more sensitive to global financial conditions. We conclude that the growing role of ETFs as a channel for international capital flows amplifies the global financial cycle in emerging markets.
The conventional paradigm about development banks is that these institutions exist to target well-identified market failures. However, market failures are not directly observable and can only be ascertained with a suitable learning process. Hence, the question is how do the policymakers know what activities should be promoted, how do they learn about the obstacles to the creation of new activities? Rather than assuming that the government has arrived at the right list of market failures and uses development banks to close some well-identified market gaps, we suggest that development banks can be in charge of identifying these market failures through their loan-screening and lending activities to guide their operations and provide critical inputs for the design of productive development policies. In fact, they can also identify government failures that stand in the way of development and call for needed public inputs. This intelligence role of development banks is similar to the role that modern theories of financial intermediation assign to banks as institutions with a comparative advantage in producing and processing information. However, while private banks focus on information on private returns, development banks would potentially produce and organize information about social returns.
In the decade 1999-2009, Jordan experienced an impressive growth acceleration, tripling its exports and increasing income per capita by 38%. Since then, a number of external shocks that include the Global Financial Crisis (2008-2009), the Arab Spring (2011), the Syrian Civil War (2011), and the emergence of the Islamic State (2014) have affected Jordan in significant ways and thrown its economy out of balance. Jordan’s debt-to-GDP ratio has ballooned from 55% (2009) to 94% (2018). The economy has continued to grow amidst massive fiscal adjustment and balance of payments constraints, but the large increase in population – by 50% between 2008 and 2017 – driven by massive waves of refugees has resulted in a 12% cumulative loss in income per capita (2010-2017). Moving forward, debt sustainability will require not only continued fiscal consolidation but also faster growth and international support to keep interest payments on the debt contained. We have developed an innovative framework to align Jordan’s growth strategy with its changing factor endowments. The framework incorporates service industries into an Economic Complexity analysis, utilizing the Dun and Bradstreet database, together with an evaluation of the evolution of Jordan’s comparative advantages over time. Combining several tools to identify critical constraints faced by sectors with the greatest potential, we have produced a roadmap with key elements of a strategy for Jordan to return to faster, more sustainable and more inclusive growth that is consistent with its emerging comparative advantages.
The literature on income gaps between Chiapas and the rest of Mexico revolves around individual factors, such as education and ethnicity. Yet, twenty years after the Zapatista rebellion, the schooling gap between Chiapas and the other Mexican entities has shrunk while the income gap has widened, and we find no evidence indicating that Chiapas indigenes are worse-off than their likes elsewhere in Mexico. We explore a different hypothesis. Based on census data, we calculate the economic complexity index, a measure of the knowledge agglomeration embedded in the economic activities at a municipal level in Mexico. Economic complexity explains a larger fraction of the income gap than any individual factor. Our results suggest that chiapanecos are not the problem, the problem is Chiapas. These results hold when we extend our analysis to Mexico’s thirty-one federal entities, suggesting that place-specific determinants that have been overlooked in both the literature and policy, have a key role in the determination of income gaps.
Venezuela has seen an unprecedented exodus of people in recent months. In response to a dramatic economic downturn in which inflation is soaring, oil production tanking, and a humanitarian catastrophe unfolding, many Venezuelans are seeking refuge in neighboring countries. However, the lack of official numbers on emigration from the Venezuelan government, and receiving countries largely refusing to acknowledge a refugee status for affected people, it has been difficult to quantify the magnitude of this crisis. In this note we document how we use data from the social media service Twitter to measure the emigration of people from Venezuela. Using a simple statistical model that allows us to correct for a sampling bias in the data, we estimate that up to 2,9 million Venezuelans have left the country in the past year.
Countries that specialize in commodities have in recent years been hit by high volatility in world prices for their exports. This paper suggests four ways that commodity-exporters can make themselves less vulnerable.
(1) Option contracts can be used to hedge against short-term declines in the commodity price without giving up the upside, as Mexico has shown.
(2) Commodity-linked bonds can hedge longer-term risk, and often have a natural ultimate counter-party in multinational corporations that depend on the commodity as an input.
(3) The well-documented pro-cyclicality of fiscal policy among commodity exporters can be reduced by insulating official forecasters against an optimism bias, as Chile has shown.
(4) Monetary policy can be made automatically more counter-cyclical, judged by the criterion of currency appreciation in reaction to positive terms-of-trade shocks, under either of two regimes: peggers can add the export commodity to a currency basket (CCB, for “Currency-plus-Commodity Basket”) and others can target Nominal Income instead of the CPI.
This report aims to summarize the main findings of the project as gathered by the three baseline documents, and frame them within a coherent set of policy recommendations that can help Panama to maintain their growth momentum in time and make it more inclusive. Three elements stand out as cornerstones of our proposal:
(i) attracting and retaining qualified human capital;
(ii) maximizing the diffusion of know-how and knowledge spillovers, and
(iii) leveraging on public-private dialog to tackle coordination problems that are hindering economic activity outside the Panama-Colón axis.
The paper proposes an exchange rate regime for oil-exporting countries. The goal is to achieve the best of both flexible and fixed exchange rates. The arrangement is designed to deliver monetary policy that counteracts rather than exacerbates the effects of swings in the oil market, while yet offering the day-to-day transparency and predictability of a currency peg. The proposal is to peg the national currency to a basket, but a basket that includes not only the currencies of major trading partners (in particular, the dollar and the euro), but also the export commodity (oil). The plan is called Currency-plus-Commodity Basket (CCB). The paper begins by fleshing out the need for an innovative arrangement that allows accommodation to trade shocks. The analysis provides evidence from six Gulf countries that periods when their currencies were “undervalued”, in the sense that the actual foreign exchange value lay below what it would have been under the CCB proposal, were periods of overheating as reflected in high inflation and of external imbalance as reflected in high balance of payments surpluses. Conversely, periods when the currencies were “overvalued,” in the sense that their foreign exchange value lay above what it would have been under CCB, featured unusually low inflation and low balance of payments. These results are suggestive of the implication that the economy would have been more stable under CCB. The last section of the paper offers a practical blueprint for detailed implementation of the proposal.
Are regions poor because they have bad institutions or are they poor because they are disconnected from the social channels through which technology diffuses? This paper tests institutional and technological theories of economic convergence by looking at income convergence across Colombian municipalities. We use formal employment and wage data to estimate growth of income per capita at the municipal level. In Colombia, municipalities are organized into 32 departamentos or states. We use cellphone metadata to cluster municipalities into 32 communication clusters, defined as a set of municipalities that are densely connected through phone calls. We show that these two forms of grouping municipalities are very different. We study the effect on municipal income growth of the characteristics of both the state and the communication cluster to which the municipality belongs. We find that belonging to a richer communication cluster accelerates convergence, while belonging to a richer state does not. This result is robust to controlling for state fixed effects when studying the impact of communication clusters and vice versa. The results point to the importance of social interactions rather than formal institutions in the growth process.
The recent economic depression in Greece hit the population of Albanian migrants in Greece particularly hard, spurring a wave of return migration which increased the Albanian labor force by 5 percent in less than four years, between 2011 and 2014. We study how this return migration affected the employment chances and earnings of Albanians who never migrated. We find positive effects on the wages of low-skilled non-migrants and overall positive effects on employment. The gains partially offset the sharp drop in remittances in the observed period. An important part of the employment gains are concentrated in the agricultural sector, where most return migrants engage in self-employment and entrepreneurship. Businesses run by return migrants seem to pull Albanians from non-participation, unemployment and subsistence agriculture into commercial agriculture.
The prevalence of many urban phenomena changes systematically with population size1. We propose a theory that unifies models of economic complexity2, 3 and cultural evolution4 to derive urban scaling. The theory accounts for the difference in scaling exponents and average prevalence across phenomena, as well as the difference in the variance within phenomena across cities of similar size. The central ideas are that a number of necessary complementary factors must be simultaneously present for a phenomenon to occur, and that the diversity of factors is logarithmically related to population size. The model reveals that phenomena that require more factors will be less prevalent, scale more superlinearly and show larger variance across cities of similar size. The theory applies to data on education, employment, innovation, disease and crime, and it entails the ability to predict the prevalence of a phenomenon across cities, given information about the prevalence in a single city.
Tourism is one of the most important economic activities in the world: for many countries it represents the single largest product in their export basket. However, it is a product difficult to chart: "exporters" of tourism do not ship it abroad, but they welcome importers inside the country. Current research uses social accounting matrices and general equilibrium models, but the standard industry classifications they use make it hard to identify which domestic industries cater to foreign visitors. In this paper, we make use of open source data and of anonymized and aggregated transaction data giving us insights about the spend behavior of foreigners inside two countries, Colombia and the Netherlands, to inform our research. With this data, we are able to describe what constitutes the tourism sector, and to map the most attractive destinations for visitors. In particular, we find that countries might observe different geographical tourists' patterns - concentration versus decentralization -; we show the importance of distance, a country's reported wealth and cultural affinity in informing tourism; and we show the potential of combining open source data and anonymized and aggregated transaction data on foreign spend patterns in gaining insight as to the evolution of tourism from one year to another.
Venezuela has one of the most abundant geological endowments in the world. Oil proven reserves are among the largest globally, even if a more conservative criterion than the one used by the current government is applied. However, these resources are qualitatively different than those of other abundant regions such as the Middle East. The large majority constitutes extra-heavy oil, which generally requires higher oil prices to be extracted profitably.
During the last decade, the Venezuelan oil industry wasted a unique opportunity to increase investment and production. At the high oil prices that prevailed, the massive oil reserves could have been monetized by rapidly increasing production with a large margin of profitability. Quite to the contrary, production steadily dropped due either to lack of investment in the new unconventional oil projects or for failing to compensate the decline of the older conventional fields. It is a tragic story of great potential with dismal performance.
A series of trends were negatively impacting the Venezuelan oil industry even before the oil price collapse in 2014. From the revenue side, although oil prices showed an increase in real terms of 120% between 2000 and 2014, the barrels that effectively generate cash for Venezuela have shown a continuous decline. This is not just because production has been declining for the most part during the last eighteen years (a trend that has gotten significantly worse during the last year), but also because of a number of developments. First, during that period, total exports have declined more rapidly than production, and recently, net exports have declined more than total exports. Consumption in the massively subsidized domestic market increased until 2013 (when it started to decline likely because of the recession in the local economy), while imports of oil products for the domestic market have increased since 2012. The domestic market not only generates negative cash-flow for the national oil company (NOC), PDVSA, but also its expansion reduced the barrels available to export. More recently, there has also been an increase in imports of light oil and naphtha as diluents for the extra-heavy oil. Second, the Venezuelan production basket has become heavier and the share of unconventional production, generally less profitable, has increased. Third, the production wholly operated by PDVSA has been falling much more rapidly, while the production share of joint-ventures increased. Fourth, a significant share of the exports to Latin America and the Caribbean is subsidized (although these exports have declined recently). Fifth, some oil exports are committed to repay debts of PDVSA and specially the Venezuelan government, limiting the actual cash flow received by the company. In particular, the government’s debt agreements with China involve a significant and increasing amount of production, although recently those agreements were restructured, allowing for a grace period with no capital amortization. From the expenditure side, PDVSA was increasingly responsible of carrying social expenditures and activities not related to the oil industry, which limited the resources for highly profitable investments. That is in addition to the increased fiscal take due to changes in the tax legislation. Also, higher investment requirements due to an increase in the equity share of PDVSA in joint venture projects, has had an impact on its cash flow.
The explanations for the underperformance of the Venezuelan oil industry basically fall into two connected categories: the multiple problems facing PDVSA; and the increase in above-ground risks for foreign investors operating in the country. The deterioration of the institutional framework, led to radical fiscal and regulatory changes, and to the nationalization of the majority of the industry. In 7 addition, the substantial over-extraction of resources from the NOC, the significant macroeconomic distortions affecting the cost structure of oil companies, and the constraints imposed by the energy infrastructure and human capital availability; have combined to produce dismal results. The massive firing of the majority of the management and technical experts from PDVSA in 2003 following the political conflict that led to a strike, has left the company with limited capabilities to operate effectively.
The recent decline in oil prices, and the changes in the international market structure, have exposed more dramatically the difficulties facing the Venezuelan oil sector, and call into question its ability to prevent a continuation of the declining trend in oil extraction. This situation becomes particularly severe if we take into account the cash flow constraints facing PDVSA, as well as its multiple operational problems, power cuts, and conflicts with oilfield services providers. These challenges are proportional to the enormous investments required to finance the projects in the Orinoco Oil Belt, where most of the reserves in Venezuela are located, and where the quality of the crude and the lack of development of the region, are just two of the many issues that need to be addressed.
Since this paper is part of a wider project to understand the macroeconomic challenges facing the country in 2016-17, it focuses narrowly on the financial problems of the oil industry in the short-term and the operational challenges that could impede its recovery in the next couple of years. Within this context, it largely analyzes the upstream operations, i.e. oil extraction, rather than the downstream, given that in the former is where the oil rents are generated and constitutes the main source of foreign exchange and fiscal revenues of Venezuela. Other areas for further research are mentioned at the end of the document.2
Official figures are used to the extent that they are publicly available. An important aspect that prevents an exhaustive evaluation of the oil sector in Venezuela is the lack of available information regarding key performance indicators affecting the cost structure of oil projects, the cash flow of PDVSA, and the fiscal contributions of the oil sector to the government, among other important variables. Thus, on occasion, estimations for variables of interest and explanations for their divergence from official figures are provided.
The paper has two main sections. The first one analyzes the issues affecting the cash flow of PDVSA, the effects of macroeconomic and fiscal variables on both revenues and costs, as well as other financial issues affecting the performance of the company. The second section discusses some of the operational challenges facing the industry and mentions areas for further research.
2For a more general overview of the recent developments of the oil sector in Venezuela see Monaldi (2015).
Since the Zapatista revolution of January 1994, enormous amount of resources coming from the federal government have poured over Chiapas. The gap in years and quality of education has been reduced significantly; and road, port and airport infrastructure have undergone a dramatic transformation. And yet, the income gap between Chiapas and the rest of Mexico has only widened. To understand why, a multi-disciplinary team of twelve experts have devoted significant time and resources to study different aspects of the development dynamic of Chiapas. As a result, 5 base documents have been published analyzing Chiapas:
- Complexity profile - Growth Diagnostic - Institutional Diagnostic - Poverty profile - Pilot of productive dialogs and inclusive growth in an indigenous community
This report resumes the findings from these and articulates their corresponding recommendations into a policy plan.
According to our hypothesis, Chiapas is wedged in a low productivity trap. A modern production system, responsible for productivity increases, income and development elsewhere in the world, requires a number of complementary inputs or capacities that are absent in Chiapas. As a result, its economy consists of a few primary products of little or no technological sophistication, and a vibrant service industry fueled by public expenditure in its larger cities. In this situation, there are no incentives to acquire additional education or skills because there is no demand for them in the economy. As we have proved, the few that manage to emigrate earn salaries elsewhere in Mexico slightly above other migrants with similar qualifications. As it turns out, it is not about the Chiapanecos, it is about Chiapas.
To overcome the current dilemmas and spark the engine of growth, Chiapas needs to resolve its issues of coordination, connectivity and gradually promote economic activities of higher complexity. Yazaki, one of the few manufacturers present in Chiapas, is an example of the role of the state in helping the economy to overcome the chicken-and-egg dilemmas, providing the public goods required - in an initial push – by a more complex economy. Our recommendations are based in identifying the productive capabilities embedded within the current productive structure of Chiapas four largest urban agglomerations, and leveraging on them to board on different potential, more complex industries that use a similar base of knowledge. To conquer those industries and diversify its economy, Chiapas needs a public-private agency empowered to iteratively solve the issues and bottlenecks these potential industries face in each particular place. Public transport and housing policy can be used as means to incorporating the surrounding communities into the increasingly modern economies of urban centers. Special economic zones and agro-industrial parks can be used to spur productivity in those areas where labor and appropriability are the most binding constrains.
Special Economic Zones (SEZ) have played an important role in Panama's successful growth story over the previous decade. SEZ have attracted local and foreign investment by leveraging a business-friendly environment of low transaction costs, and created many stable, well-paid jobs for Panamanians. Beyond that, SEZ shall be assessed as place-based policy by their capacity to boost structural transformations, namely attracting new skills and more complex know-how not to be found in the domestic economy.
The aim of this paper is to evaluate the three largest SEZ in Panama:
Colon Free Zone
City of Knowledge
Our results suggest that SEZ have been successful as measured by static indicators, such as foreign investment, job creation and productivity. We also find that SEZ have boosted inflows of high-skill immigrants, who are most likely generating positive knowledge spillovers on Panamanians productivity and wages. However, significant legal instruments and institutional designs are preventing Panama from taking full advantage of the skill variety hosted at the SEZ. Complex immigration processes inhibiting foreigners from transitioning out of the SEZ, a long list of restricted professions and even citizenships considered as a national security concern, are hindering the flow of knowledge, keeping the benefits coming from more complex multinational companies locked inside the gates of SEZ.
The economy of Panama has thrived for more than a decade, based on a modern service sector on the activities surrounding the Canal. Panama has inserted its economy into global value chains, providing competitive services in logistics, ship handling, financial intermediation, insurance, communication and trade. The expansion of the modern service sector required significant non-residential construction, including office buildings, commercial outlets, warehouses, and even shopping malls. Large public infrastructure projects such as the expansion of the Canal, the Metro, and Tocumen airport, have provided an additional drive and paved the road for productive diversification. But productive diversification does not spread randomly. A country diversifies towards activities that demand similar capacities than the ones already in place. Current capabilities and know-how can be recombined and redeployed into new, adjacent activities, of higher value added.
This report identifies productive capabilities already in place in Panama, as signaled by the variety and ubiquity of products and services that is already able to manufacture and provide competitively. Once there, we move on to identifying opportunities for productive diversification based on technological proximity. As a result, we provide a roadmap for potential diversification opportunities both at the national and sub-national level.
Panama has been one of the fastest growing economies in the world over the previous decade. Growth has been spearheaded by the development of a modern service sector on the activities surrounding the Canal, and non-residential construction. Large public infrastructure projects and the private provision for infrastructure demanded by the service sector, have fueled growth and created a vibrant labor market for non-skilled workers.
Two warning signals hover over Panama´s stellar performance. The construction sector has been growing for a decade at a rate that is equivalent to doubling its stock of structures every four years. The demand for non-residential construction cannot grow indefinitely at a higher rate than the rest of the economy. This feeds into the second signal: Income inequality. In spite of the minor improvements registered over the accelerated-growth spell, Panama remains amongst the world´s top five most unequal countries.
Both warning signals point out to the need of further diversifying the Panamanian economy, and promoting economic activity in the provinces so as to deconcentrate growth and make it more inclusive.
We deployed our Growth Diagnostic methodology in order to identify potential binding constraints to that process. Skilled labor, necessary to gradually diversify into more complex and high value-added activities, is relatively scarce. This scarcity manifests into large wage-premiums to foreigners across all occupations, which are particular large within more complex industries.
Major investments in education have improved indicators of schooling quantitatively, but quality remains a major concern. We find that Panama’s immigration policies are preventing skills from spilling over from their special economic zones into the rest of the economy. On top of that, the list of professions restricted to Panamanians and other constraints on skilled labor flows, are constraining even further the pool of skills. As we document here, these efforts are not helping the Panamanian workers, quite the contrary.
We also find that corruption, and to a lesser extent, red tape, are other important factors that shall be addressed in order to allow Panama to shift the gears of growth, tackle inequality and continue growing at a fast pace.
Previous papers such as Russell, Barrios & Andrews (2016), Guerra (2016), and Russell, Tokman, Barrios & Andrews (2016) have aimed to provide an empirical view into the sports economy. This proves to be a difficult task, given the many definitions of ‘sports’ and data deficiencies and differences in the sports domain (between contexts and over time). The emerging view in these previous papers provides interesting information about the sports sector, however: it shows, for instance, that different contexts have differently intensive sports sectors, and that sports activities overlap with other parts of the economy. This kind of information is useful for policymakers in governments trying to promote sports activities and use sports to advance the cause of broad-based social and economic development.
This paper is written with these policymakers in mind. It intends to offer a guide such agents can use in constructing sports policies focused on achieving development goals (what we call development through sports), and discusses ways in which these policymakers can employ empirical evidence to inform such policies.
The paper draws on the concept of ‘governance’ to structure its discussion. Taking a principal-agent approach to the topic, governance is used here to refer to the exercise of authority, by one set of agents, on behalf of another set of agents, to achieve specific objectives. Building on such a definition, the paper looks at the way governmental bodies engage in sports when acting to further the interests of citizens, most notably using political and executive authority to promote social and economic development. This focus on governance for development through sports (asking why and how governments use authority to promote sports for broader social and economic development objectives) is different from governance of sports (which focuses on how governments and other bodies exercise authority to control and manage sports activities themselves), which others explore in detail but we will not discuss.
The paper has five main sections. A first section defines what we mean by ‘governance’ in the context of this study. It describes an ends-means approach to the topic—where we emphasize understanding the goals of governance policy (or governance ends) and then thinking about the ways governments try to achieve such goals (the governance means). The discussion concludes by asking what the governance ends and means are in a development through sports agenda. The question is expanded to ask whether one can use empirical evidence to reflect on such ends and means. One sees this, for instance, in the use of ‘governance indicators’ and ‘governance dashboards’ in the international development domain. A second section details the research method we used to address these questions. This mixed method approach started by building case studies of sports policy interventions in various national and sub-national governments to obtain a perspective on what these policies tend to involve (across space and time). It then expanded into an analysis of sports policies in a broad set of national and sub-national governments to identify common development through sport ends and means. Finally, it involved experimentation with selected data sources to show how the ends and means might be presented in indicators and dashboards—to offer evidence-based windows into development through sports policy regimes.
Based on this research, sections three and four discuss the governance ends and means commonly pursued and employed by governments in this kind of policy process. The sections identify three common ends (or goals)—inclusion, economic growth, and health—and a host of common means—like the provision of sports facilities, organized activities, training support, financial incentives, and more—used in fostering a development through sports agenda. Data are used from local authorities in England to show the difficulties of building indicators reflecting such policy agendas, but also to illustrate the potential value of evidence-based dashboards of these policy regimes. It needs to be stated that this work is more descriptive than analytical, showing how data can be used to provide an evidence-based perspective on this domain rather than formally testing hypotheses about the relationship between specific policy means and ends. In this regard, the work is more indicative of potential applications rather than prescriptive. A conclusion summarizes the discussion and presents a model for a potential dashboard of governance in a development through sports policy agenda.
 This terminology comes from Houlihan and White, who identify the “tension between development through sport (with the emphasis on social objectives and sport as a tool for human development) and development of sport (where sport was valued for its own sake)” (Houlihan & White 2002, 4).
 The paper relates to a vibrant literature on this topic, which investigates the reasons and ways governments support the sports sector (classic and recent studies in this literature include Adams and Harris (2014), Gerretsenand Rosentraub (2015), Grix and Carmichael (2012), Grix (2015), Hallman and Petry (2013), Houlihan (2002, 2005, 2016), Houlihan and White (2002), Hylton (2013), Koski and Lämsä (2015), Schulenkorf and Adair (2013), and Vuori et al. (1995).
 Work on the governance of sports assesses the way international entities like FIFA and the IOC work with national and local governmental bodies to oversee, regulate, and otherwise manage sports like football and the Olympic movement, using authority to create and implement rules on behalf of those involved in the sport itself. See, for instance Forster (2006), Geeraert (2013), and Misener (2014).
As described in Russell, Barrios & Andrews (2016), past attempts to understand the sports economy have been constrained by a number of data limitations. For instance, many of these accounts use revenues when value added measures would be more appropriate. Similarly, many accounts use top-down definitions that result in double counting and an inflated estimate of the size of the sports economy. More importantly, past accounts have focused most of their efforts estimating the overarching size of the sports economy. Constrained by aggregated data that groups a wide range of sports-related economic activities together, they primarily discuss the size of the sports-related economic activity. Their focus on answering the question of "How big?" conceals substantial differences between activities. Core sports activities, such as professional sports teams, behave very differently than activities, like sporting goods manufacturing that are closer to the periphery of the sports economy. Likewise, there are even important differences amongst core sports activities. Professional sports teams are very different than fitness facilities, and they might differ in different respects.
Guerra (2016) demonstrates that, when detailed, disaggregated data are available, the possibilities to analyze and understand the sports are greatly increased. For instance, Guerra (2016) were able to conduct skills-based analyses, magnitude analyses, employment characterizations, geographic distribution analyses, and calculations of the intensity of sports activities. The sector disaggregation, spatial disaggregation, and database complementarity present in the Mexico data used in that paper therefore enables a more detailed and nuanced understanding of sports and sports-related economic activity.
Data with characteristics similar to those found in Mexico are few and far between. We have, unfortunately, been unable to completely escape such data limitations. However, we have compiled and analyzed a large array of employment data on sports-related economic activities in Europe. In the paper that follows, we describe our analyses of these data and the findings produced.
Section 1 begins with a discussion of employment in sports and an explanation of why we chose this variable for our analyses. Section 2 provides an overview of the data used in this paper particularly focusing on the differences between it and the Mexico data discussed in Guerra (2016). It also describes the methodology we use. We analyze these data using one of two related measures to understand the intensity of sports-related activities across different geographic areas in countries. We also construct measures at the level of a single country in order to compare across entire economies. At the international level, we adopt the revealed comparative advantage (RCA) measure that Balassa (1965) first developed to analyze international trade. Within specific countries, however, we use a population-adjusted version of the RCA measure known as RPOP. Section 3 presents the most relevant findings and Section 4 discusses their limitations. Section 5 concludes with the lessons learned and avenues for future research. While there are limitations on these analyses, they can give policymakers a better understanding of the distribution and concentration of sports across space. Such information can serve as an important input for sports-related investment decisions and other sports-related policies.