Yoto Valentinov Yotov
Inglés
5 al 15 de julio de 2022 2:00 a 6:00 p.m. Lunes a viernes
4
Para el pregrado Microeconomía 2 Macroeconomía 2 Econometría básica
The objective of this course is to serve as a practical guide for analysis of trade flows and trade policy with the structural gravity model, i.e., the workhorse model in international trade and recently referred to as ‘new quantitative trade model’. To this end, the course combines cutting edge academic research and extensive policy experience, and it offers a comprehensive and balanced approach between theory and empirics. The course traces the evolution of the structural gravity model from its initial a-theoretical applications to the most recent structural estimation gravity frameworks, e.g. dynamic gravity. After deriving the original gravity equation, it is shown that the same model can also be derived from many different theoretical micro-foundations. Guided by theory, a set of best practices and recommendations are established for partial equilibrium gravity estimations, and their importance is demonstrated with a series of trade policy applications including bilateral policies (e.g., evaluating the impact of FTAs, sanctions, etc.) as well as non-discriminatory policies and country-specific characteristics (e.g., export support, institutional quality etc.). The same gravity framework is then used to translate the partial equilibrium policy estimates into full general equilibrium effects on various economic outcomes, e.g., trade, prices, welfare. The course concludes with a demonstration of how the gravity model of trade can be nested into a wide range of production models with a focus on dynamic capital accumulation and FDI.
Acceso remoto
Datos personales en la Unidad Académica que podrá asesorar a los estudiantes a lo largo del primer semestre para su toma de decisión acerca de los intersemestrales
Angélica Velandia
Danila Serra
6 al 10 de junio de 2022 Lunes y viernes 9:00 a.m. a 12:00 m. Martes, miércoles y jueves 9:00 a.m. a 1:00 p.m.
2
A chronic problem affecting many developing countries is the poor performance of government organizations in the delivery of public services. Understanding factors that allow the public sector to motivate employees and function efficiently is of crucial importance within the context of economic development and poverty reduction. This short course will introduce students to the use of experimental methods for the study of topics related to the personnel economics of the state. The course will start with an overview of methodological issues relating to lab and field experiments. We will then critically discuss recent research employing experimental methods to examine a variety of topics, ranging from the motivations of public sector providers, to incentive systems that could help in the fight against unethical behavior and corruption, to interventions aimed at improving the quality of public sector delivery.
Mixta (presencial-remoto)
Matías Damián Cattaneo Rocio Titiunik
Junio 13, 14*, 15, 16, 17, 21, 22, 23, 24 de 8:00 a.m. a 11:00 a.m. Adicionalmente, Junio 24 de 11:00 m. a 2:00 p.m. ** * La clase de este día comenzará a las 7:00 a.m. ** Esta franja corresponde a horas de oficina
"The summer school offers an in-depth introduction to modern methods for analysis and interpretation of regression discontinuity (RD) designs. See Cattaneo and Titiunik (2022) for a comprehensive review of the literature. The summer school will focus mostly on methodology and empirical practice, and but it will also discuss some of the underlying statistical and econometric theory when appropriate. It will be assumed that participants have elementary working knowledge of statistics, econometrics, and program evaluation. In particular, it would be useful if participants were familiar with basic results from the treatment effects literature (Abadie and Cattaneo, 2018), but the short course will be self-contained. The material in this course builds on the following reviews and practical introductions to RD designs: Cattaneo, Titiunik and Vazquez-Bare (2017), Cattaneo, Titiunik and Vazquez-Bare (2020b), and Cattaneo, Idrobo and Titiunik (2020a, 2021). Companion software packages and replication files are available at: https://rdpackages.github.io/"
Felipe Barrera Osorio
Español
13 al 25 de junio de 2022 5:00 p.m. a 8:00 p.m. Lunes a viernes (lunes 20 de junio no hay clase y se reemplaza por el sábado 25 de junio)
Durante las últimas tres décadas, diversos investigadores han profundizado en técnicas para medir los efectos causales de programas e intervenciones en diversas partes del mundo. Esta agenda de investigación—denominada “evaluación de impacto” desde el punto de vista metodológico—es particularmente activa en educación. La pregunta esencial que intenta responder una evaluación de impacto es qué hubiera sucedido a los individuos beneficiados por un programa, intervención o política en ausencia de la política. Para responder esta pregunta, la evaluación de impacto utiliza diversas técnicas que buscan construir un grupo de comparación válido para el grupo de individuos beneficiarios del programa. El curso tiene dos objetivos: primero, introducir al estudiante a las técnicas econométricas de estimación causal de efectos; segundo, presentar algunos temas críticos en educación que han sido objeto de evaluaciones causales recientes.
Ralph Luetticke
5 al 9 de julio de 2022 8:00 a.m. a 11:00 a.m. martes a sábado
The course provides students with the tools to develop and analyze business cycle models with heterogenous agents. This class of models has become the new standard in the business cycle literature and allows to analyze the interaction of the business cycle and the distribution of consumption, income, wealth, etc. The focus of the course is on numerical methods. Coding exercises in class are an important element of the course, such that students should be able to apply the methods straight out of the class.
Presencial
Rodolfo Manuelli Francisco Buera Yongseok Shin
Inglés / español
6, 7, 9, 10, 16 y 17 de junio horario de 2:00 a 5:00 p.m.
The course will cover both the macroeconomics of complete markets as well some important results in economies with frictions. In the case of complete markets, emphasis will be put on long run results of monetary and fiscal policies, as well as the role of technology shocks. The impact of incomplete markets on wages and unemployment will be analyzed using the search and matching framework. Optimal consumption/saving decisions with incomplete markets will also be considered. The impact of market power and markups on economic growth will be covered. The role of rigidities associated with price changes and of constraints on interest rates (zero lower bound) on the impact of monetary policies will be also analyzed. Finally, the course will present a benchmark framework to analyze the effect of policies and frictions on the size distribution and the dynamic of firms and aggregate productivity.
James Alan Robinson Pablo Querubín Borrero Leopoldo Fergusson Talero
11 al 23 de julio de 2022 2:00 pm a 5:00 pm Lunes a sábado (excepto miércoles 20 de julio)
This course asks why we take the view that institutions are collective choices and therefore the outcome of political processes. Thus the study of comparative economic development reduces to a series of questions about comparative politics. The course introduces the puzzles, some basic theoretical models which can help us think about many questions, and the relevant social science evidence. Though there are many things we don’t really understand. This course asks why we take the view that institutions are collective choices and therefore the outcome of political processes. Thus the study of comparative economic development reduces to a series of questions about comparative politics. The course introduces the puzzles, some basic theoretical models which can help us think about many questions, and the relevant social science evidence. Though there are many things we don’t really understand.
José Antonio Ocampo Gaviria
28 de junio al 9 de julio de 2022 9:00 am a 12:00 pm Lunes a viernes
Álvaro José Riascos Villegas Stefan Feurriegel
13 al 25 de junio de 2022 11:00 a 2:00 pm Lunes a viernes (incluido el sábado 25 de junio)
Artificial intelligence (AI) for social sciences allows the study of social phenomena using data-driven methods to generate insight from large-scale, digital trace data. Data of human traces has become abundant in the digital age, as human and machine agents interact to build increasingly complex, diverse, and interdependent systems. For example, people connect and interact through online social networks, allowing them to participate in various social activities. In this course, we will attend to these prospects and challenges of AI for social sciences, as well as to innovative use cases. Key aspects include the use of novel (often unstructured) datasets, scaling analyses to large-scale datasets with large population sizes, and using AI to improve decision-making for the better of society. Among others, we will answer specific questions of immediate impact in our course: How can AI help reaching the United Nations' Sustainable Development Goals? How can AI foster equality? How can AI improve development aid?
Fabio Andrés Gómez de los Ríos
31 de mayo al 5 de julio de 2022 martes a jueves 18:00 a 21:00 monitoria lunes y viernes de 18:00 a 20:30
Zhiyu Quan
21 de junio al 6 de julio de 2022 martes a viernes de 6:00 p.m. a 8:00 p.m. y sábados de 9:00 a.m. a 11:00 a.m.
Métodos Cuantitativos en Finanzas (pregrado) Programación y modelación estocástica (posgrado)
Emphasizes data science techniques and introductory applications to actuarial science, finance, and economics. This course will give an overview of the different data science methods and algorithms that can be employed to discover useful information from real-life datasets, to explain how to build a data science model using computational software packages (R and Python), and to effectively communicate the results in a scientific report. Topics include identifying the business problem, basic database calculations and manipulations, data and model ethics, data preparation, data visualization, model building processes, advanced predictive analytics models, model selection, refinement, and validation, model explainability. We will cover case studies in different fields in finance and insurance. For instance, auto/home insurance claims, stock and option price prediction, mortality trends, health data analytics, etc.
Andrés Mauricio Carvajal Escobar
28 de junio al 9 de julio de 2022 Lunes a sábado 7:30 a 9:00 a.m.; 9:30 a 11:00 a.m. y 12:00 m a 1:00 p.m. Monitoria con el Profesor Asistente
Para el pregrado Economía Matemática
El curso familiarizará a los estudiantes con los métodos matemáticos que son más habituales en la investigación moderna en teoría económica. Su énfasis es análisis real y de espacios métricos generales, teoría de la optimización, tanto estática como dinámica, y teoría de la medida y probabilidad. El curso también presenta aplicaciones canónicas de algunos de los resultados más importantes, como la existencia de equilibrio de Nash en juegos finitos y el teorema fundamental de valoración de activos financieros.
María Libertad González Luna
11 al 15 de julio de 2022 Lunes a viernes 8:00 a 11:30 a.m.
This course uses economic analysis to explore gender differences in economic outcomes, in both the labor market and the household. Men earn on average higher wages than women. Men and women concentrate in different occupations, and women are under-represented in the political sphere and high-powered occupations. Women attain on average higher levels of schooling than men, and they take on a higher share of household chores and childcare. Why these differences? Do they represent a problem? Should families, schools, firms, or governments do something about it? This course will provide you with an overview of a recent literature in economics that documents gender gaps in a range of domains, tries to uncover the factors that drive them, and evaluates the effectiveness of different policies in mitigating them. Some of the main topics that we will cover include: gender gaps in wages and employment, gender and education, gender differences in psychological traits, family (fertility, marriage and divorce, household specialization), and gender and public policy.