Academic Research

Coscia, M., Neffke, F. & Lora, E., 2015. Report on the Poblacion Flotante of Bogota.Abstract

In this document we describe the size of the Poblacion Flotante of
Bogota (D.C.). The Poblacion Flotante is composed by people who live
outside Bogota (D.C.), but who rely on the city for performing their job.
We estimate the Poblacion Flotante impact relying on a new data source
provided by telecommunications operators in Colombia, which enables us
to estimate how many people commute daily from every municipality of
Colombia to a specic area of Bogota (D.C.). We estimate that the size of
the Poblacion Flotante could represent a 5.4% increase of Bogota (D.C.)'s
population. During weekdays, the commuters tend to visit the city center

Hausmann, R. & Neffke, F., 2016. The Workforce of Pioneer Plants.Abstract

Is labor mobility important in technological diffusion? We address this question by asking how plants assemble their workforce if they are industry pioneers in a location. By definition, these plants cannot hire local workers with industry experience. Using German social-security data, we find that such plants recruit workers from related industries from more distant regions and local workers from less-related industries. We also show that pioneers leverage a low-cost advantage in unskilled labor to compete with plants that are located in areas where the industry is more prevalent. Finally, whereas research on German reunification has often focused on the effects of east-west migration, we show that the opposite migration facilitated the industrial diversification of eastern Germany by giving access to experienced workers from western Germany.

Gomez-Lievano, A., Tellez, J. & Lora, E., 2015. New Insights About Wage Inequality in Colombia.Abstract

This paper presents a descriptive analysis of wage inequality in Colombia by cities and industries and attempts to evaluate the impact of the inequality of industries on inequality of cities. Using the 2010-2014 Colombian Social Security data, we calculate the gini coefficient for cities and industries and draw comparisons between their distributions. Our results show that while cities are unequal in similar ways, industries differ widely on how unequal they can be with ginis. Moreover, industrial structure plays a significant role to determine city inequality. Industrial framework proves to be a key element in this area for researches and policymakers.

Evidence That Calls-Based and Mobility Networks Are Isomorphic
Coscia, M. & Hausmann, R., 2015. Evidence That Calls-Based and Mobility Networks Are Isomorphic. PLOS One , 10. Publisher's VersionAbstract

Social relations involve both face-to-face interaction as well as telecommunications. We can observe the geography of phone calls and of the mobility of cell phones in space. These two phenomena can be described as networks of connections between different points in space. We use a dataset that includes billions of phone calls made in Colombia during a six-month period. We draw the two networks and find that the call-based network resembles a higher order aggregation of the mobility network and that both are isomorphic except for a higher spatial decay coefficient of the mobility network relative to the call-based network: when we discount distance effects on the call connections with the same decay observed for mobility connections, the two networks are virtually indistinguishable.

The network structure of economic output
Hausmann, R. & Hidalgo, C.A., 2011. The network structure of economic output. Journal of Economic Growth. Publisher's VersionAbstract

Much of the analysis of economic growth has focused on the study of aggregate output. Here, we deviate from this tradition and look instead at the structure of output embodied in the network connecting countries to the products that they export. We characterize this network using four structural features: the negative relationship between the diversification of a country and the average ubiquity of its exports, and the non-normal distributions for product ubiquity, country diversification and product co-export. We model the structure of the network by assuming that products require a large number of non-tradable inputs, or capabilities, and that countries differ in the completeness of the set of capabilities they have. We solve the model assuming that the probability that a country has a capability and that a product requires a capability are constant and calibrate it to the data to find that it accounts well for all of the network features except for the heterogeneity in the distribution of country diversification. In the light of the model, this is evidence of a large heterogeneity in the distribution of capabilities across countries. Finally, we show that the model implies that the increase in diversification that is expected from the accumulation of a small number of capabilities is small for countries that have a few of them and large for those with many. This implies that the forces that help drive divergence in product diversity increase with the complexity of the global economy when capabilities travel poorly.

Coscia, M., Hausmann, R. & Hidalgo, C.A., 2013. The Structure and Dynamics of International Development Assistance. Journal of Globalization and Development , 3 (2) , pp. 1-42. Publisher's VersionAbstract

We study the structure of international aid coordination by creating and analyzing a tripartite network of donor organizations, recipient countries and development issues using web-based information. We develop a measure of coordination and find that it is moderate, achieving about 60% of its theoretical maximum. Many countries are strongly connected to organizations that are related to the issues that are salient there. Nevertheless, we identify many countries that are poorly served, issues that are inadequately attended to, and organizations that focus on the wrong combination of places and issues. Our approach may be used to improve decentralized coordination.

Hausmann, R. & Klinger, B., 2006. Structural Transformation and Patterns of Comparative Advantage in the Product Space.Abstract

In this paper we examine the product space and its consequences for the process of structural transformation. We argue that the assets and capabilities needed to produce one good are imperfect substitutes for those needed to produce other goods, but the degree of asset specificity varies widely. Given this, the speed of structural transformation will depend on the density of the product space near the area where each country has developed its comparative advantage. While this space is traditionally assumed to be smooth and continuous, we find that in fact it is very heterogeneous, with some areas being very dense and others quite sparse. We develop a measure of revealed proximity between products using comparative advantage in order to map this space, and then show that its heterogeneity is not without consequence. The speed at which countries can transform their productive structure and upgrade their exports depends on having a path to nearby goods that are increasingly of higher value.

Hidalgo, C.A. & Hausmann, R., 2009. The Building Blocks of Economic Complexity.Abstract

For Adam Smith, wealth was related to the division of labor. As people and firms specialize in different activities, economic efficiency increases, suggesting that development is associated with an increase in the number of individual activities and with the complexity that emerges from the interactions between them. Here we develop a view of economic growth and development that gives a central role to the complexity of a country's economy by interpreting trade data as a bipartite network in which countries are connected to the products they export, and show that it is possible to quantify the complexity of a country's economy by characterizing the structure of this network. Furthermore, we show that the measures of complexity we derive are correlated with a country's level of income, and that deviations from this relationship are predictive of future growth. This suggests that countries tend to converge to the level of income dictated by the complexity of their productive structures, indicating that development efforts should focus on generating the conditions that would allow complexity to emerge in order to generate sustained growth and prosperity.

Hausmann, R. & Klinger, B., 2007. The Structure of the Product Space and the Evolution of Comparative Advantage.Abstract

This paper establishes a robust stylized fact: changes in the revealed comparative advantage of nations are governed by the pattern of relatedness of products at the global level. As countries change their export mix, there is a strong tendency to move towards related goods rather than to goods that are farther away. The pattern of relatedness of products is only very partially explained by similarity in broad factor or technological intensities, suggesting that the relevant determinants are much more product-specific. Moreover, the pattern of relatedness of products exhibits very strong heterogeneity: there are parts of this ‘product space’ that are dense while others are sparse. This implies that countries that are specialized in a dense part of the product space have an easier time at changing their revealed comparative advantage than countries that are specialized in more disconnected products.

Hausmann, R., et al., 2014. Implied Comparative Advantage. CID Working Paper , 276.Abstract

The comparative advantage of a location shapes its industrial structure. Current theoretical models based on this principle do not take a stance on how comparative advantages in different industries or locations are related with each other, or what such patterns of relatedness might imply about the underlying process that governs the evolution of comparative advantage. We build a simple Ricardian-inspired model and show this hidden information on inter-industry and inter-location relatedness can be captured by simple correlations between the observed patterns of industries across locations or locations across industries. Using the information from related industries or related locations, we calculate the implied comparative advantage and show that this measure explains much of the location’s current industrial structure. We give evidence that these patterns are present in a wide variety of contexts, namely the export of goods (internationally) and the employment, payroll and number of establishments across the industries of subnational regions (in the US, Chile and India). The deviations between the observed and implied comparative advantage measures tend to be highly predictive of future industry growth, especially at horizons of a decade or more; this explanatory power holds at both the intensive as well as the extensive margin. These results suggest that a component of the long-term evolution of comparative advantage is already implied in today’s patterns of production.

Revised July 2020.
Bustos, S., et al., 2012. The Dynamics of Nestedness Predicts the Evolution of Industrial Ecosystems.Abstract

Decades of research in ecology have shown that nestedness is a ubiquitous characteristic of both, biological and economic ecosystems. The dynamics of nestedness, however, have rarely been observed. Here we show that the nestedness of both, the network connecting countries to the products that they export and the network connecting municipalities to the industries that are present in them, remains constant over time. Moreover, we find that the conservation of nestedness is sustained by both, a bias for industries that deviate from the networks' nestedness to disappear, and a bias for the industries that are missing according to nestedness to appear. This makes the appearance and disappearance of individual industries in each location predictable. The conservation of nestedness in industrial ecosystems, and the predictability implied by it, demonstrates the importance of industrial ecosystems in the long term survival of economic activities.