Drug trafficking
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In 2006 the Mexican government launched an aggressive campaign to weaken drug-trafficking organizations (DTOs). The security policies differed significantly from those of previous administrations in the use of a leadership strategy (the targeting for arrest of the highest levels or core leadership of criminal networks). While these strategies can play an important role in disrupting the targeted criminal organization, they can also have unintended consequences, increasing inter-cartel and intra-cartel fighting and fragmenting criminal organizations. What impact do captures of senior drug cartel members have on the dynamics of drug-related violence? Does it matter if governments target drug kingpins vs. lower ranked lieutenants? We analyze whether the captures or killings of kingpins and lieutenants have increased drug-related violence and whether the violence spills over spatially. To estimate effects that are credibly causal, we use different empirical strategies that combine difference-in-differences and synthetic control group methods. We find evidence that captures or killings of drug cartel leaders have exacerbating effects not only on DTO-related violence, but also on homicides that affect the general population. Captures or killings of lieutenants, for their part, only seem to exacerbate violence in “strategic places” or municipalities located in the transportation network. While most of the effects on DTO-related violence are found in the first six months after a leader’s removal, effects on homicides affecting the rest of the population are more enduring, suggesting different mechanisms through which leadership neturalizations breed violence.

 

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CDDRL Working Paper
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Gabriela Calderón
Alberto Díaz-Cayeros
Beatriz Magaloni
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Abstract:

In 2006 the Mexican government launched an aggressive campaign to weaken drug-trafficking organizations (DTOs). The security policies differed significantly from those of previous administrations in the use of a leadership strategy (the targeting for arrest of the highest levels or core leadership of criminal networks). While these strategies can play an important role in disrupting the targeted criminal organization, they can also have unintended consequences, increasing inter-cartel and intra-cartel fighting and fragmenting criminal organizations. What impact do captures of senior drug cartel members have on the dynamics of drug-related violence? Does it matter if governments target drug kingpins vs. lower ranked lieutenants? We analyze whether the captures or killings of kingpins and lieutenants have increased drug-related violence and whether the violence spills over spatially. To estimate effects that are credibly causal, we use different empirical strategies that combine difference-in-differences and synthetic control group methods. We find evidence that captures or killings of drug cartel leaders have exacerbating effects not only on DTO-related violence, but also on homicides that affect the general population. Captures or killings of lieutenants, for their part, only seem to exacerbate violence in “strategic places” or municipalities located in the transportation network. While most of the effects on DTO-related violence are found in the first six months after a leader’s removal, effects on homicides affecting the rest of the population are more enduring, suggesting different mechanisms through which leadership neutralizations breed violence.

 

Speaker Bio:

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gustavo robles
Gustavo Robles is PhD candidate in political science at Stanford University with specialization in political methodology and comparative politics. His research interests include the economics of crime and violence in Latin America, political economy of development, and legislative studies. He is currently working on his PhD dissertation on the dynamics and consequences of drug-related violence in Mexico. He is a researcher for the Program on Poverty and Governance at CDDRL. Before attending Stanford, Robles worked at Protego Asesores as a financial advisor for states and municipalities in Mexico. He also worked as an economic analyst for the Mexican Minister of Finance and for the Cente r of Analysis and Economic Research at the Instituto Tecnológico Autónomo de México (ITAM). He holds a M.A. in economics from Stanford University and a B.A. in economics and political science from ITAM. He won the Ex ITAM Research Prize for the best undergraduate thesis in Political Science in 2009 and the Fulbright-García Robles Scholarship in 2008 (declined).

Gustavo Robles Pre-doctoral Fellow, CDDRL
Seminars
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When Mexican President Felipe Caldrón took office in December 2006 he declared a war on the nation’s drug traffic organizations (Ríos and Shirk, 2011). Violence escalated as criminal organizations became increasingly fragmented and disputed their territories (Killebrew and Bernal, 2010; Beittel, 2011). The main strategy followed by the federal government involved capturing leaders and lieutenants of criminal organizations (Calderón et al. forthcoming). This seemed to provoke even more violence, by making the competition over territorial control fiercer and providing incentives for many gangs to make extortion and protection fees (derecho de piso) an additional source of revenue (Guerrero-Gutiérrez, 2010). Given the absence of legal (and peaceful) rules and enforcement mechanisms for competitors in the illegal drug market, disagreements were usually solved violently. Under the pressure of the crackdown by the federal police, the navy and the army, contracts among criminal gangs were often disrupted, leading to even more violence.1 Competition over the strategic routes towards the market in the United States was settled by literally eliminating rivals (Dell, 2012).

This chapter explores the connection between police distrust, corruption and extortion. Despite the difficulty in measuring these phenomena through conventional public opinion polls and citizen or firm level surveys, much can be learned from the variation across geographic units in reported victimization and corruption. We use a list experiment collected through the Survey on Public Safety and Governance in Mexico (SPSGM), to study the practices of extortion by both police forces and criminal organizations.4 Using a Bayesian spatial estimation method, we provide a mapping of the geographic distribution of police extortion.

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CDDRL Working Papers
Authors
Alberto Díaz-Cayeros
Beatriz Magaloni
Vidal Romero
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Abstract:

The levels of violence in Mexico have dramatically increased in the last few years due to structural changes in the drug trafficking business. The increase in the number of drug trafficking organizations (DTOs) fighting over the control of territory and trafficking routes has resulted in a substantial increase in the rates of homicides and other crimes. This study evaluates the economic costs of drug-related violence. We propose electricity consumption as an indicator of the level of municipal economic activity and use two different empirical strategies to test this. We utilize an instrumental variable regression using as exogenous variation the instrument proposed by Castillo, Mejía, and Restrepo (2013) based on historical seizures of cocaine in Colombia interacted with the distance of the Mexican border towns to the United States. We find that marginal increases of violence have negative effects on labor participation and the proportion of unemployed in an area. The marginal effect of the increase in homicides is substantive for earned income and the proportion of business owners, but not for energy consumption. We also employ the methodology of synthetic controls to evaluate the effect that inter-narco wars have on local economies. These wars in general begin with a wave of executions between rival criminal organizations and are accompanied by the deterioration of order and a significant increase in extortion, kidnappings, robberies, murders, and threats affecting the general population. To evaluate the effect that these wars between different drug trafficking organizations have on economic performance, we define the beginning of a conflict as the moment when we observe an increase from historical violence rates at the municipal level beyond a certain threshold, and construct counterfactual scenarios as an optimal weighted average from potential control units. The analysis indicates that the drug wars in those municipalities that saw dramatic increases in violence between 2006 and 2010 significantly reduced their energy consumption in the years after the change occurred.

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Gustavo Robles
Beatriz Magaloni
Beatriz Magaloni
Gabriela Calderón
Gabriela Calderón
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The levels of violence in Mexico have dramatically increased in the last few years due to structural changes in the drug trafficking business. The increase in the number of drug trafficking organizations (DTOs) fighting over the control of territory and trafficking routes has resulted in a substantial increase in the rates of homicides and other crimes. This study evaluates the economic costs of drug-related violence. We propose electricity consumption as an indicator of the level of municipal economic activity and use two different empirical strategies to test this. To estimate the marginal effects of violence, we utilize an instrumental variable regression created by Mejía and Castillo (2012) based on historical seizures of cocaine in Columbia interacted with the distance of the Mexican border towns to the United States. We find that marginal increases of violence have negative effects on labor participation and the proportion of unemployed in an area. The marginal effect of the increase in homicides is substantive for earned income and the proportion of business owners, but not for energy consumption. We also employ the methodology of synthetic controls to evaluate the effect that inter-narco wars have on local economies. These wars in general begin with a wave of executions between rival criminal organizations and are accompanied by the deterioration of order and a significant increase in extortion, kidnappings, robberies, murders, and threats affecting the general population. To evaluate the effect that these wars between different drug trafficking organizations have on economic performance, we define the beginning of a conflict as the moment when we observe an increase from historical violence rates at the municipal level beyond a certain threshold, and construct counterfactual scenarios as a weighted average from optimal control units. The analysis indicates that the drug wars in those municipalities that saw dramatic increases in violence between 2006 and 2010 significantly reduced their energy consumption in the years after the change occurred.

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Publication Type
Working Papers
Publication Date
Authors
Gustavo Robles
Beatriz Magaloni
Beatriz Magaloni
Gabriela Calderón
Gabriela Calderón
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Abstract:

This paper estimates the effect that successful cocaine interdiction policies in Colombia have had on violence in Mexico. We propose a simple model of the war on drugs that captures the essence of our identification strategy: aggregate supply shocks affect the size of illegal drug markets, which then increases or decreases violence. We estimate the effect of the interaction of cocaine seizures in Colombia with simple geographic features of Mexican municipalities. Our results indicate that aggregate supply shocks originated in drug seizures in Colombia affect homicides in Mexico. The effects are especially large for violence generated by clashes between drug cartels. Our estimates also show that government crackdowns on drug cartels might not be the only explanation behind the rise of illegal drug trafficking and violence observed in the last six years in Mexico: successful interdiction policies implemented in Colombia since 2006 have also played a major role in the worsening of the Mexican situationduring Calderon's sexennium.

 

Speaker Bio:

Daniel Mejia is Associate Professor in the Department of Economics and Director of the Research Center on Drugs and Security (CESED) at Universidad de los Andes in Bogota, Colombia, where he has taught since 2006. He received a BA and MA in Economics from Universidad de los Andes and a MA and PhD in economics from Brown University. Prior to joining Universidad de los Andes he worked as a researcher at the Central Bank of Colombia and Fedesarrollo. Daniel he has been actively involved in a research agenda whose main objective is to provide an independent, economic evaluation of anti-drug policies implemented under Plan Colombia. His academic work has been published at the Journal of Development Economics, the European Journal of Political Economy, Economics of Governance and Economia: Journal of the Latin America Economic Association. In 2008 he was awarded Fedesarrollos´s German Botero de los Ríos prize for economic research. Also, in 2008, 2010 and 2012 he was awarded with research grants from the Open Society Institute for the study of anti-drug policies in Colombia. Daniel, together with Alejandro Gaviria, recently published the book “Políticas antidroga en Colombia: éxitos, fracasos y extravíos” (Anti-drug policies in Colombia: successes, failures and lost opportunities) at Universidad de los Andes, in Bogota. Between 2011 and 2012, Daniel was a member of the Advisory Commission on Criminal Policy and more recently he is the Chair of the Colombian Government´s Advisory Commission on Drugs Policy.

 

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Daniel Mejia Londoño Associate Professor in the Department of Economics and Director of the Research Center on Drugs and Security (CESED) Speaker Universidad de los Andes in Bogota, Colombia
Seminars
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Abstract:

The levels of violence in Mexico have dramatically increased in the last few years due to structural changes in the drug trafficking business. The increase in the number of drug trafficking organizations (DTOs) fighting over the control of territory and trafficking routes has resulted in a substantial increase in the rates of homicides and other crimes. This study evaluates the economic costs of drug-related violence. We propose electricity consumption as an indicator of the level of municipal economic activity and use two different empirical strategies to test this. To estimate the marginal effect of violence in the rate of homicides (per 100,000 inhabitants) we use an instrumental variable regression created by Mejía, Castillo and Restrepo (2012). For the average municipality, the marginal negative effect of the increase in homicides rates is substantive for earned income and the proportion of business owners, but not for energy consumption. Although negative and statistically significant, the effects are mild for labor participation. We also employ the methodology of synthetic controls to evaluate the effect that inter-narco wars have on local economies. The analysis indicates that the drug wars in those municipalities that saw dramatic increases in violence between 2006 and 2010 significantly reduced their energy consumption in the years after the change occurred, which is interpreted as a significant reduction in GDP per capita for these municipalities.

Speaker Bio:

Gabriela Calderon holds a Ph.D. in Economics from Stanford University. Her research interests include policies that affect gender differences in developing countries, policy evaluation, violence in Latin America and the effect of institutions and governance on the provision of public goods and health/education outcomes. She did her master's degree in economic theory and bachelor's degree in economics at the Instituto Tecnológico Autónomo de México. Currently, in the Program on Poverty and Governance, her research analyzes the way institutions and democracy affect the provision of public goods, and the impact they have on health outcomes like infant mortality trends. She is also studying the effects of government interventions that combat drug-trafficking organizations over violence in Mexico.

Her research has focused on the topics of development, public finance, and the evaluation of public policy programs in Mexico. For example, during the summers of 2009/2010, she conducted a field experiment in Zacatecas, Mexico with Giacomo de Giorgi, an assistant professor from Stanford University, and Jesse Cuhna, a former Stanford student. The main task was to evaluate the impact of financial literacy classes on underprivileged women entrepreneurs in the region. To successfully complete an evaluation in an untreated region, they proposed collaborating with the Mexican NGO CREA on a joint project. They contacted local interviewers, trained them, and identified all women entrepreneurs in the 17 communities, in which we conducted the experiment. Preliminary results suggest that the female entrepreneurs who were randomly assigned to treatment earned higher profits, had larger revenues, and served a greater number of clients. They also found that they were more likely to implement formal accounting techniques.

She has also studied programs that are not randomly assigned as an experiment. For example, she has analyzed the effects of a national policy in Mexico of child care services, called Estancias Infantiles para apoyar a Madres Trabajadoras (EI), using administrative, census and household data. Her empirical research strategy identifies the effects of the program on both the men and women who were eligible for the program. She used time, location and eligibility variation, and considered a major threat to identification of the actual effects: for example, a manufacturer who moves into a municipality at approximately the same time as the EI program and who happens to disproportionately demand the skills of women who were eligible to the program happened to have. To ensure that such scenarios do not affect her results, she chose not triple difference strategy, in which all ineligible people are treated as “controls” for the EI-eligible families. Instead, she employs Synthetic Control Methods, using the same methodology as Abadie and Gardeazabal (2003) and Abadie, Diamond and Hainmueller (2010) to ensure that her control group has the same mix of skills and preferences as the EI-eligible group. She adapted the Synthetic Control Method to analyze repeated cross-sectional household data, which are data that are typically available in developing countries

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CDDRL Postdoctoral Fellow 2012-13
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Gabriela Calderon holds a Ph.D. in Economics from Stanford University. Her research interests include policies that affect gender differences in developing countries, policy evaluation, violence in Latin America and the effect of institutions and governance on the provision of public goods and health/education outcomes. She did her master's degree in economic theory and bachelor's degree in economics at the Instituto Tecnológico Autónomo de México. Currently, in the Program on Poverty and Governance, her research analyzes the way institutions and democracy affect the provision of public goods, and the impact they have on health outcomes like infant mortality trends. She is also studying the effects of government interventions that combat  drug-trafficking organizations over violence in Mexico. 

Her research has focused on the topics of development, public finance, and the evaluation of public policy programs in Mexico. For example, during the summers of 2009/2010, she conducted a field experiment in Zacatecas, Mexico with Giacomo de Giorgi, an assistant professor from Stanford University, and Jesse Cuhna, a former Stanford student. The main task was to evaluate the impact of financial literacy classes on underprivileged women entrepreneurs in the region. To successfully complete an evaluation in an untreated region, they proposed collaborating with the Mexican NGO CREA on a joint project. They contacted local interviewers, trained them, and identified all women entrepreneurs in the 17 communities, in which we conducted the experiment.  Preliminary results suggest that the female entrepreneurs who were randomly assigned to treatment earned higher profits, had larger revenues, and served a greater number of clients. They also found that they were more likely to implement formal accounting techniques.

She has also studied  programs that are not randomly assigned as an experiment. For example, she has analyzed the effects of a national policy in Mexico of child care services, called Estancias Infantiles para apoyar a Madres Trabajadoras (EI), using administrative, census and household data.  Her empirical research strategy identifies the effects of the program on both the men and women who were eligible for the program. She used time, location and eligibility variation, and considered a major threat to identification of the actual effects: for example, a manufacturer who moves into a municipality at approximately the same time as the EI program and who happens to disproportionately demand the skills of women who were eligible to the program happened to have. To ensure that such scenarios do not affect her results, she chose not triple difference strategy, in which all ineligible people are treated as “controls” for the EI-eligible families. Instead, she employs Synthetic Control Methods, using the same methodology as Abadie and Gardeazabal (2003) and Abadie, Diamond and Hainmueller (2010) to ensure that her control group has the same mix of skills and preferences as the EI-eligible group. She adapted the Synthetic Control Method to analyze repeated cross-sectional household data, which are data that are typically available in developing countries

Gabriela Calderón CDDRL Postdoctoral Fellow 2012-13 Speaker
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Elena Cryst
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Program on Poverty and Governance director Beatriz Magaloni, associate professor of political science and FSI senior fellow, post-doctoral fellow Gabriela Calderón and graduate student Gustavo Robles were recently featured in an Inter-American Development Bank (IDB) report for their participation in a research group for the IDB's Citizen Security Research Platform. Their project, entitled "The Economic Consequences of Drug-Trafficking Violence in Mexico," seeks to quantify the local economic impact of Mexico's drug war across the country.

The study uses electricity consumption as a proxy for per-capita gross domestic product to calculate the impact of violence on economic output in Mexico. The research team found that when municipalities become embroiled in high levels of drug violence, local electrical consumption drops. They also examined census employment statistics to measure the impact of violence on the number of people employed or actively seeking employment. Their research has suggested that citizens are increasingly hesitant to launch businesses, and may even choose unemployment over risking the daily walk to work in a highly insecure environment.

The team presented their work for a seminar at the IDB's Washington, D.C., headquarters as part of the project "The Cost of Crime and Violence in Latin America and the Caribbean" on Jan. 23-24, 2013.

Click below for a working draft of the paper available in both Spanish and English. 

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Following the highly successful conference "Violence, Drugs and Governance: Mexican Security in Comparative Perspective", the Program on Poverty and Governance is partnering with the Instituto Tecnológico Autónomo de México (ITAM) and the United Nations Development Programme (UNDP) to host a new conference on violence, crime and citizen insecurity in Latin America. The greater objectives of this two day conference are to:

  • Deepen the critical analysis of insecurity in Latin America through an interdisciplinary dialogue and the creation of methodological tools
  • Create an interdisciplinary network of academics focused on the study and comprehension of insecurity in the Western Hemisphere
  • Share the findings and recommendations from this network with key actors and decision makers of the region
  • Develop a program of annual Forum-Conferences on citizen security in Latin America, with a high degree of academic analysis, and open to dialogue with government officials and authorities

  • Launch a new collaborative database for crime and violence research among the networks of scholars

Presenters will speak on four thematic areas:

  1. Citizen Insecurity Tipping Points
  2. Costs and Impacts of Insecurity
  3. Drug Trafficking and Drug Regimes
  4. Interventions and Best Practices to Decrease Violence

The conference will be held at ITAM's Santa Teresa campus in Mexico City on March 11-12.

Anuncio del evento en español via ITAM: haz click aquí.

Instituto Tecnológico Autónomo de México
Mexico City, Mexico

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