The Long and Winding Roads: Roads, Inequality, and Growth in Colombia. with Guillermo Sinisterra.
We measure road improvement and road construction on production and inequality in Colombia from 1993 to 2012, taking into account network effects using a market access approach. We found that roads, by changing market access, have an important effect on GDP growth and all the sectors. We also find that GDP increases with distance to the intervention. We address endogeneity in multiple ways. We use exogenous variation based on the likelihood of receiving a road improvement based on pre-colonial (indigenous) roads least-cost cost path counterfactual road networks that use estimated construction costs; we also build alternative market access measures that focus on quasi-random market access changes stemming from exposure to markets of smaller cities. We find that roads concentrate the land close to that infrastructure in fewer hands. Also, roads have an important effect on municipal development indicators. Roads also seem to have important spillover effects on municipalities located at 35km or closer to the intervention.
Unequal Response to Mobility Restrictions: Evidence from COVID-19 Lockdown in the City of Bogota ́. with David Castells‐Quintana, Paula Herrera-Idárraga, and Guillermo Sinisterra. Under Review.
In this paper, we study the efficacy of government-mandated mobility restrictions on curbing urban mobility, and estimate the spatial heterogeneity in lockdown compliance. We explore the role of cash subsidies disbursed during lockdown as well as socioeconomic differences across neighborhoods in explaining their unequal response to mobility restrictions. We rely on novel data showing changes in movements at highly disaggregated spatial units in Bogota ́, before and during the first wave of the COVID-19 pandemic, matched with data on socioeconomic characteristics as well as data on Non- Pharmaceutical Interventions (NPIs) implemented in the period of analysis. We find that the general lockdown imposed in the city significantly reduced mobility (by about 41pp). When looking at the unequal response across locations, we find that low-income areas, with higher population density, informality and overcrowding, reacted less to mobility restrictions. We also find that cash subsidies were not sufficient to make compliance easier in low-income neighborhoods.
Staggered Adoption of Nonpharmaceutical Interventions to Contain Covid-19 Across U.S. Counties: Direct and Spillover Effects. with Vadim Elenev, Alessandro Rebucci and Emilia Simeonova.
We estimate direct and spillover effects of social distancing measures intended to slow the spread of COVID-19 at the U.S. county level using mobility indicators based on cellphone data. We find that spillover effects range between a third and a half of the direct effect depending on the particular outcome or policy considered. Our results suggest that decentralized NPI decisions, which does not internalize externalities generated on surrounding locations, could result in lower NPI implementation and weaker reduction in mobility, and hence more personal contacts and interactions in leisure and work activities, which are the main driver of the COVID-19 transmission.
Explaining Spatial Variations in Productivity. Evidence from Latin America and the Caribbean. with Mark Roberts. Revise and Resubmit at Journal of Urban Economics.
There is a large and extensive literature examining the strength of agglomeration economies and, more generally, the determinants of spatial variations in productivity for developed countries. However, the corresponding literature for developing countries is comparatively scant. This paper contributes to filling this knowledge gap by providing estimates for city productivity premiums and different sources of agglomeration effects for 16 countries in the Latin America and Caribbean region. While two of the countries in our sample - Brazil and Colombia - have been considered by the literature - the remaining 14 countries have not been previously analyzed. We generate these estimates for the region as well as comparable estimates for each individual country using a harmonized data set with characteristics of individual workers and features of the cities in which the workers live. In addition to examining the strength of agglomeration economies, we asses the roles of human capital externalities and market access in explaining sub-national productivity variations. We find that city-wide human capital externalities appear much stronger than agglomeration economies in explaining productivity variation in all of the considered countries. There is considerable heterogeneity in the estimated strength of human capital externalities across countries, which could be a reflection of country differences in educational quality.
We investigate the impact of increasing concentration in local residential construction markets on housing cycle dynamics. We show that the increase in concentration has led to greater unit price volatility, less production, and fewer vacant unsold units. Our results imply that the greater concentration has decreased the annual value of new housing production by $144 billion. Because housing is a determinant of the business cycle these findings provide further evidence that the secular decline in competitive intensity in the American economy is altering macroeconomic dynamics. Previous draft circulated as Market Concentration in Homebuilding. Also see a press release, media coverage, the slides presented at the AEA meetings, and a recent presentation at the ReCapNet 2020.
Urban Decline in an Urbanizing World, with Paula Restrepo.
This article presents evidence on the striking phenomenon of population decline in Eastern Europe and Central Asia (ECA) using a novel dataset that spans more than 3 decades for all cities in the countries of the region. To explain the observed patterns of population redistribution in a context of strong population decline, we present a modified gravity migration model based on Brezis and Krugman (1997) model on life cycle of cities. Under a negative population shock, the model predicts concentration of population in larger cities, driven by a temporary wedge between productivity and living costs. We test these predictions and find that indeed population distribution across the city distribution increased its concentration. In particular, there is a negative causal effect on population growth of having access to larger labor markets, and a causal positive effect of having a larger local market. This research was awarded the ECA Academy award 2020.
The Efficacy of a Pre-Algebra Cognitive Tutor in Chile and Mexico, with Jason Imbrogno, Ignacio Casas, and Paul Goodman.
A math cognitive tutor (MCT) system widely used throughout the U.S. was adapted for use in Chilean and Mexican public middle schools. The curriculum requires the use of computers for individual students to progress through an extended pre-algebra program. We show that students enrolled in schools which were randomly assigned to adopt the MCT significantly im- proved their standardized math test scores as compared to control group peers. However, the implementation of the changes in the schools and classrooms was not perfect. Those schools which were better prepared to make changes, especially those with sufficient computers and technical support services, saw their students master more of the software part of the curriculum. Students and teachers generally viewed the MCT positively. Knowledge from this study regarding the structure and implementation required for schools to successfully exploit the unique teaching capabilities of the MCT should guide the future diffusion of this specific technology.
I extend the Laplace estimators approach proposed by Chernozhukov and Hong (2003) for an overidentified system by decomposing the m moments into the identifying space and the overidentifying space, and using both to construct a transformed criterion function for a new just-identified system. Parameters and test statistics are estimated simultaneously using the entire equation do- main, not only the global minimum. As in Chernozhukov and Hong (2003), Markov-Chain Monte Carlo (MCMC) avoids the curse of dimensionality in this method. It is also applicable to non-smooth criterion functions. Incorporating the ORs in the objective function amounts to using economic theory as criterion for estimate selection when facing multiple local solutions. The proposed estimators outperform counterparts in simulation of an asset-pricing model in Hall and Horowitz (1996).
Stopping Asset Market Bubbles.
We test a policy that changes the information and payoff structure in a double auction experiment in order to prevent bubbles from forming. This cash out policy gives the investor all his asset holding (game money) and dividends at the end of each transaction period in the form of real cash. This intends to change the reference point and make the investor realize gains or losses as real. The results of the experiments support the hypothesis that, at least partially, the creation of bubbles is affected by mental accounting and framing. These phenomena affect investors’ willingness to hold or demand assets whose prices are unrealistically above its fundamental value. We have experiments with 3 groups of subjects (inexperienced, experienced, and mixed). The largest bubbles are formed for the inexperienced subjects, although bubbles do form in all groups. In all cases where strong bubbles are present, the cash out policy seems to have a strong effect in reducing or preventing the bubble formation.
Projects in Progress
Redevelopment and housing prices (with Jacob Cosman)
Shedding light on measuring economic growth from outer-space: learning from the BRICS, (with Roberts, M., Restrepo, P., Stewart, B).
Here Comes the Neighborhood: The microstructure of housing supply. (with Caitlin Gorback).
The Long and Winding Road: Roads, Politics and Growth in Colombia (with Guillermo Sinisterra).