ECN 190 Topics

ECN 190 Topics

What is a 190 course? An ECN 190 course is a newly-introduced course that has yet to receive an official course number. More than one ECN 190 course, on different topics, may be offered in any given quarter. 

Please note: our Economics department and Professors require all prerequisites to be completed before enrollment in any ECN 190 topic course. If you do not meet the prerequisites, you will be emailed during Pass 2 and asked to drop the course, or you will be dropped by the 12th day of instruction. 


2023-24 Academic Year

 

  • FALL 2023
  • ECN 190: Research with Economics Data
    Instructor:
    Colin Cameron
    Prerequisites: ECN 102 or ECN 140 or STA 108 with a grade of B- or better.
    Note: Enrollment is capped at 30 students, this is a new ECN 190 topics section being offered.
    Specialization Track: Data Analytics and Economic Analysis (Advanced)
     

    Description: The goal of this new course is for students to write a research paper based on analysis of economics data. As background the class will go through several published papers and several econometrics methods. The key component of this class is the research paper which will be a group project (2-4 students per paper depending on class size). For more details see https://cameron.econ.ucdavis.edu/e190/e190.html

    Colin Cameron is professor of economics at the University of California, Davis. He is also a member of the UCD Graduate Group in Statistics, a faculty member of the Center for Health Services Research in Primary Care at UC Davis, serves on several university committees, and is a Visiting Professor at the School of Economics at the University of Sydney. He is associate editor of The Stata Journal. Dr. Cameron is the co-author of three graduate-level books in microeconometrics methods (Microeconometrics: Methods and ApplicationsMicroeconometrics using Stata, and Regression Analysis of Count Data) and has presented many short courses around the world. He is also the author of the undergraduate text Analysis of Economics Data: An Introduction to Econometrics.

  • WINTER 2024

  • No ECN 190 is being offered in Winter Quarter 2024. 

  • SPRING 2024

  • ECN 190: Making Better Decisions
    Instructor: Anujit Chakraborty
    Prerequisites: A grade of C or better in one of the following courses: MAT 16B; MAT 17B; MAT 19B; or MAT 21B. If you have completed ECN 100A or ECN 100B, a grade of C or better is also required. We would use calculus in this course.
    Specialization Track: Behavior and Strategy (Advanced)

    ECN 190 with Anujit Chakraborty

    Description: If you are like most people, you think that the table on the left is longer and narrower than the one on the right. But if you used a ruler to measure each table (developed by cognitive scientist Roger Shepard), you would find that they have identical dimensions! Not only do a lot of people get this wrong, but they all also get it wrong the same way, which means there is something systematic in the errors. Just like our optical system, our decision-making system can make systematic errors too, and these are called behavioral biases. In this course, we will learn about systematic mistakes we make in intertemporal decisions, risky decisions, and strategic environments. We will see the empirical evidence about it, and learn the economic models developed to study behavioral biases. Prior knowledge of game theory (100B level) and statistics (ECN 102/STA 108) would come in handy during the course.

    Anujit Chakraborty is an Assistant Professor of Economics at UC Davis. He received his Ph.D. in Economics from the University of British Columbia, under Professor Yoram Halevy in 2017. He has previously received a B.E in Electronics Engineering from Jadavpur University and an M.S in Economics from the Indian Statistical Institute. Dr. Chakraborty works in the intersection of Economic Theory, Behavioral Economics, and Experimental Economics.

    ECN 190: The College Fed Challenge
    Instructor: Deborah Swenson
    Prerequisites: ECN 101 and must be an active student in Fall 2024
    Specialization Track: General (Advanced)

    Background: Entering 2024, the U.S. Federal Reserve faces just such a quandary. As posed in the New York Times, Why Cut Rates in an Economy This Strong? A Big Question Confronts the Fed.(January 30, 2024 https://www.nytimes.com/2024/01/30/business/economy/fed-interest-rates.html) “The central bank is widely expected to lower interest rates this year. But with growth and consumer spending chugging along, explaining it may take some work.” In this setting, the Federal Reserve would like to preserve the current soft landing, as it reduces inflation from its disruptive 2022 peak. To this end, it needs to decide both when, and how quickly, it should act during 2024.

    Course Description: This course will focus on macroeconomic forecasting and policy formation, in simulation of the U.S. Federal Reserve decision-making. The majority of the course work, which will involve group projects and presentations, will provide hands-on practice applying economic tools to specific questions. Although the course applications will generally center on Federal Reserve policy decisions, the practice of applied economic decision-making will be broadly applicable to other economic settings.

    Due to group projects and in-class presentations, class attendance is essential.

    Application: https://forms.gle/bL4AdGXtpoqLvbxE9

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2022-23 Academic Year

 

  • FALL 2022

  • ECN 190-A: INTERNATIONAL MACRO-FINANCE ***NOW ECN 164***

    Specialization Track: International Macro-Finance (Advanced)

    Prerequisites: ECN 100A

    This is an advanced course in international finance.  The goal is to understand how investors from different countries interact in global financial markets.  The course studies the decision-making processes of large firms (both financial and non-financial), institutional investors, and sovereign governments.  It further examines the role of governments and international institutions as intermediaries and regulators of global markets.  The course combines solving rigorous theoretical models, analyzing financial data, and presenting solutions to real-life case studies.  Instructional material includes a required textbook and case study materials, and evaluation is based on online quizzes, a country study, individual and group assignments, and a short case-study group presentation.

    Instructor: Professor Ina Simonovska

    Professor Simonovska specializes in international trade, international finance and macroeconomics.  She received her PhD in Economics at the University of Minnesota as well as her Master's in Economics. Their research interests focus on understanding the sources of welfare gains from international integration.


    ECN 190-B: ECONOMICS AND BUSINESS DATA ANALYTICS ***NOW ECN 142*** 

    Specialization Track: Data Analytics and Economic Analysis (Advanced)

    Prerequisites: ECN 100A, STA 13, and ECN 102 with a B grade or higher

    This course introduces state-of-the-art econometric methods to analyze economic and business data. Topics of this course include key concepts and tools which are essential for data analyses in economic and business environments. This course is designed as a stepping stone for graduate study. The students are required to implement the programming language R.

    Instructor: Professor Takuya Ura

    Takuya Ura is an assistant professor of economics at UC Davis. His research interest is econometrics, with emphases on microeconometrics and causal inference.


    ECN 190-1: ECONOMICS OF CRIME AND PUNISHMENT

    Specialization Track: Policy (Advanced)

    Prerequisites: ECN 100A and ECN 102; ECN 140 recommended (previous or concurrent)

    This course will provide an introduction to the economics of crime and punishment. We will apply economic thinking to gain insight into the behavior of the key actors (potential offenders, potential victims, and criminal justice agents), and key public policies that determine crime and justice outcomes. We will examine economic models of decision-making under uncertainty, the use of benefit-cost analysis to estimate the cost of crime and assess different crime reduction strategies, and econometric techniques for analyzing the causes of crime and the effects of crime-control measures. The course will consider contemporary issues in criminal justice policy including incarceration, policing, racial bias, drug policy, and gun regulations.

    Instructor: Professor Hannah Laqueur

    Hannah Laqueur is an assistant professor of emergency medicine at UC Davis. She earned her PhD from UC Berkeley Law's Jurisprudence and Social Policy program, an interdisciplinary social science program, where she specialized in Law and Economics. She also completed a Masters in Biostatistics at Berkeley, focusing on machine learning methods for causal inference and prediction.
     

  • WINTER 2023

  • ECN 190-A: ECONOMICS & MATHEMATICS

    Specialization Track: Data Analytics and Economic Analysis (Advanced)

    Prerequisites: You should drop this course if you are not willing to engage in hard work each week or if you are allergic to mathematics. You should also drop this course if you don’t satisfy the prerequisites in mathematics: 16A, 16B or 21A, 21B with a grade of a C- or better in each course.

    Students will become comfortable with the most important and foundational methods applied in mathematical economics: set theory, linear algebra, differential and integral calculus, unconstrained and constrained optimization, methods of comparative statics, and basic applications of mathematics to financial economics, consumer behavior, the behavior of firms, and market exchange.

    Instructor: Professor Carvajal Escobar

    Andrés Carvajal Escobar is a Professor at UC Davis. He is an economic theorist with an emphasis in microeconomics and mathematic economics. He is the Editor-in-Chief of the Journal of Mathematical Economics and served as a co-chair of the 2018 North America Summer Meeting of the Econometric Society.

  • SPRING 2023

  • ECN 190-A: MAKING BETTER DECISIONS

    Specialization Track: Behavior and Strategy (Advanced)

    Prerequisites: A grade of C or better in the courses: ECN 100A and ECN 100B. We would use calculus in this course.

    ECN 190 with Anujit Chakraborty

    If you are like most people, you think that the table on the left is longer and narrower than the one on the right. But if you used a ruler to measure each table (developed by cognitive scientist Roger Shepard), you would find that they have identical dimensions! Not only do a lot of people get this wrong, but they all also get it wrong the same way, which means there is something systematic in the errors. Just like our optical system, our decision-making system can make systematic errors too, and these are called behavioral biases. In this course, we will learn about systematic mistakes we make in intertemporal decisions, risky decisions, and strategic environments. We will see the empirical evidence about it, and learn the economic models developed to study behavioral biases. Prior knowledge of game theory (100B level) and statistics (ECN 102/STA 108) would come in handy during the course.

    Instructor: Professor Anujit Chakraborty

    Anujit Chakraborty is an Assistant Professor of Economics at UC Davis. He received his Ph.D. in Economics from the University of British Columbia, under Professor Yoram Halevy in 2017. He has previously received a B.E in Electronics Engineering from Jadavpur University and an M.S in Economics from the Indian Statistical Institute. Dr. Chakraborty works in the intersection of Economic Theory, Behavioral Economics, and Experimental Economics.


Historic ECN 190 Topic Course Information

Spring 2022

ECN 190: ECONOMICS AND BUSINESS DATA ANALYTICS

Advanced Economics Course

Specialization: Data Analytics and Economic Analysis 

Prerequisites: ECN 100A, STA 13, and ECN 102 with a B grade or higher

This course introduces state-of-the-art econometric methods to analyze economic and business data. Topics of this course include key concepts and tools which are essential for data analyses in economic and business environments. This course is designed as a stepping stone for graduate study. The students are required to implement the programming language R.

Instructor: Professor Takuya Ura

Takuya Ura is an assistant professor of economics at UC Davis. His research interest is econometrics, with emphases on microeconometrics and causal inference.


ECN 190: MAKING BETTER DECISIONS

Advanced Economics Course

Specialization: Behavior and Strategy

Prerequisites: A grade of C- or better in the courses: 100A, 100B and ECN 102/STA 108. We would use calculus in this course.

Two Tables

If you are like most people, you think that the table on the left is longer and narrower than the one on the right. But if you used a ruler to measure each table (developed by cognitive scientist Roger Shepard), you would find that they have identical dimensions! Not only do a lot of people get this wrong, but they all also get it wrong the same way, which means there is something systematic in the errors. Just like our optical system, our decision-making system can make systematic errors too, and these are called behavioral biases. In this course, we will learn about systematic mistakes we make in intertemporal decisions, risky decisions, and strategic environments. We will see the empirical evidence about it, and learn the economic models developed to study behavioral biases.

Prior knowledge of game theory (100B level) and statistics (ECN 102/STA 108) would come in handy during the course.

Instructor: Professor Anujit Chakraborty

Anujit Chakraborty is an Assistant Professor of Economics at UC Davis. He received his Ph.D. in Economics from the University of British Columbia, under Professor Yoram Halevy in 2017. He has previously received a B.E in Electronics Engineering from Jadavpur University and an M.S in Economics from the Indian Statistical Institute. Dr. Chakraborty works in the intersection of Economic Theory, Behavioral Economics, and Experimental Economics.


ECN 190: ECONOMICS OF CRIME AND PUNISHMENT

Advanced Economics Course

Specialization: Policy

Prerequisites: ECN 100A and ECN 102; ECN 140 recommended (previous or concurrent)

This course will provide an introduction to the economics of crime and punishment. We will apply economic thinking to gain insight into the behavior of the key actors (potential offenders, potential victims, and criminal justice agents), and key public policies that determine crime and justice outcomes. We will examine economic models of decision-making under uncertainty, the use of benefit-cost analysis to estimate the cost of crime and assess different crime reduction strategies, and econometric techniques for analyzing the causes of crime and the effects of crime-control measures. The course will consider contemporary issues in criminal justice policy including incarceration, policing, racial bias, drug policy, and gun regulations.

Instructor: Professor Hannah Laqueur

Hannah Laqueur is an assistant professor of emergency medicine at UC Davis. She earned her PhD from UC Berkeley Law's Jurisprudence and Social Policy program, an interdisciplinary social science program, where she specialized in Law and Economics. She also completed a Masters in Biostatistics at Berkeley, focusing on machine learning methods for causal inference and prediction.

Winter 2022

ECN 190: INTERNATIONAL MACRO-FINANCE

Advanced Economics Course

Specialization: International Macro-Finance 

Prerequisites: ECN 100A and ECN 101

This is an advanced course in international finance.  The goal is to understand how investors from different countries interact in global financial markets.  The course studies the decision-making processes of large firms (both financial and non-financial), institutional investors, and sovereign governments.  It further examines the role of governments and international institutions as intermediaries and regulators of global markets.  The course combines solving rigorous theoretical models, analyzing financial data, and presenting solutions to real-life case studies.  Instructional material includes a required textbook and case study materials, and evaluation is based on exam, assignments, and a short case-study group presentation.

Instructor: Professor Ina Siminovska

Professor Simonovska specializes in international trade, international finance and macroeconomics.  She received her PhD in Economics at the University of Minnesota as well as her Master's in Economics. Their research interests focus on understanding the sources of welfare gains from international integration.

Spring 2021

ECN 190-A01/A02: ECONOMICS AND BUSINESS DATA ANALYTICS (CRNs: 40129 and 40130)

Advanced Economics Course

Specialization: Data Analytics and Economic Analysis 

Prerequisites: ECN 100 or 100A, STA 13, and ECN 102 with a B grade or higher

This course introduces state-of-the-art econometric methods to analyze economic and business data. Topics of this course include key concepts and tools which are essential for data analyses in economic and business environments. This course is designed as a stepping stone for graduate study. The students are required to implement the programming language R.

Instructor: Professor Takuya Ura

Takuya Ura is an assistant professor of economics at UC Davis. His research interest is econometrics, with emphases on microeconometrics and causal inference.


ECN 190-B01/B02: MAKING BETTER DECISIONS (CRNs: 40131 and 40132)

Advanced Economics Course

Specialization: Behavior and Strategy

Prerequisites: A grade of C- or better in the courses: 100A, 100B and ECN 102/STA 108. We would use calculus in this course.

Two Tables

If you are like most people, you think that the table on the left is longer and narrower than the one on the right. But if you used a ruler to measure each table (developed by cognitive scientist Roger Shepard), you would find that they have identical dimensions! Not only do a lot of people get this wrong, but they all also get it wrong the same way, which means there is something systematic in the errors. Just like our optical system, our decision-making system can make systematic errors too, and these are called behavioral biases. In this course, we will learn about systematic mistakes we make in intertemporal decisions, risky decisions, and strategic environments. We will see the empirical evidence about it, and learn the economic models developed to study behavioral biases.

Prior knowledge of game theory (100B level) and statistics (ECN 102/STA 108) would come in handy during the course.

Instructor: Professor Anujit Chakraborty

Anujit Chakraborty is an Assistant Professor of Economics at UC Davis. He received his Ph.D. in Economics from the University of British Columbia, under Professor Yoram Halevy in 2017. He has previously received a B.E in Electronics Engineering from Jadavpur University and an M.S in Economics from the Indian Statistical Institute. Dr. Chakraborty works in the intersection of Economic Theory, Behavioral Economics, and Experimental Economics.


ECN 190-001: Economics of Crime (CRN: 62638)

Advanced Economics course 

Specialization: Behavior and Strategy

Prerequisites:  ECN 100/100A or ARE 100A and ECN 102 (or the equivalent). Recommended: ECN 140

This course will provide an overview of the economics of crime. We will examine economic models of choice and rationality, statistical techniques for analyzing the causes of crime and the effects of crime-control measures, frameworks for understanding the aggregation of individual choices into crime rates and patterns, and contemporary issues and policies in the criminal justice system including drug policy, gun regulation, and race and racial profiling. The central aim of the course is to develop economic thinking to gain insight into the behavior of the key actors (potential offenders, potential victims, and criminal justice agents) and the multiple elements of the justice system that determine crime and justice outcomes.

Instructor: Professor Hannah S. Laqueur

Professor Laqueur is an Assistant Professor at UC Davis in the Department of Emergency Medicine. She earned her PhD from UC Berkeley Law's Jurisprudence and Social Policy program, an interdisciplinary social science program, where she specialized in Law and Economics. She also completed a Masters in Biostatistics at Berkeley, focusing on machine learning methods for causal inference and prediction.


ECN 190-002: GUN VIOLENCE: AN INTERDISCIPLINARY APPROACH (CRN: 62881)

Elective Economics course 

Specialization: Policy

Prerequisites:  ECN 102 or PHS 102

The course will examine existing research and innovative approaches and policies aimed at reducing gun-related harms. Course topics will include an economic analysis of the social costs of gun violence, the harm reduction approach provided by the public health model, an investigation of the empirical evidence on gun policies including background checks and extreme risk laws, the role of law in regulating guns and the gun industry, and a review of community-based approaches to violence prevention, among other topics. The course will cover all major forms of gun violence, including homicides, suicides, gang violence, intimate partner violence, mass shootings, nonfatal shootings, and law enforcement killings.

Instructor: Professor Hannah S. Laqueur and Professor Rose M.C. Kagawa 

Hannah S. Laqueur, PhD is an Assistant Professor at UC Davis in the Department of Emergency Medicine. She earned her PhD from UC Berkeley Law's Jurisprudence and Social Policy program, an interdisciplinary social science program, where she specialized in Law and Economics. She also completed a Masters in Biostatistics at Berkeley, focusing on machine learning methods for causal inference and prediction.

Rose M. C. Kagawa, PhD, MPH is an Assistant Professor in the Department of Emergency Medicine at the University of California, Davis. Dr. Kagawa received her Ph.D. in Epidemiology and her M.P.H. from the University of California, Berkeley. She conducts research on violence prevention and firearm policy and has particular interest in understanding how social and environmental contexts influence violence perpetration and victimization through the life course. Current projects include estimating the effects of changes to the built environment, including the demolition of vacant and dilapidated buildings, exploring ways of improving the effectiveness of background checks as a violence prevention measure, and jointly estimating multiple neighborhood-level exposures on the incidence of violence.

 

Winter 2021

ECN 190-C: INTERNATIONAL MACRO-FINANCE 

Advanced Economics Course

Specialization: International Macro-Finance 

Prerequisites: ECN 100 or 100A AND ECN 101

This is an advanced course in international finance.  The goal is to understand how investors from different countries interact in global financial markets.  The course studies the decision-making processes of large firms (both financial and non-financial), institutional investors, and sovereign governments.  It further examines the role of governments and international institutions as intermediaries and regulators of global markets.  The course combines solving rigorous theoretical models, analyzing financial data, and presenting solutions to real-life case studies.  Instructional material includes a required textbook and case study materials, and evaluation is based on exam, assignments, and a short case-study group presentation.

Instructor: Professor Ina Siminovska

Professor Simonovska specializes in international trade, international finance and macroeconomics.  She received her PhD in Economics at the University of Minnesota as well as her Master's in Economics. Their research interests focus on understanding the sources of welfare gains from international integration.

Fall 2021

ECN 190: INTERNATIONAL MACRO-FINANCE

Advanced Economics Course

Specialization: International Macro-Finance 

Prerequisites: ECN 100A and ECN 101

This is an advanced course in international finance.  The goal is to understand how investors from different countries interact in global financial markets.  The course studies the decision-making processes of large firms (both financial and non-financial), institutional investors, and sovereign governments.  It further examines the role of governments and international institutions as intermediaries and regulators of global markets.  The course combines solving rigorous theoretical models, analyzing financial data, and presenting solutions to real-life case studies.  Instructional material includes a required textbook and case study materials, and evaluation is based on exam, assignments, and a short case-study group presentation.

Instructor: Professor Ina Siminovska

Professor Simonovska specializes in international trade, international finance and macroeconomics.  She received her PhD in Economics at the University of Minnesota as well as her Master's in Economics. Their research interests focus on understanding the sources of welfare gains from international integration.

Spring 2020

ECN 190-1: ECONOMICS OF CRIME (CRN: 84822)

Advanced Economics Course

Specialization: Behavior and Strategy

Prerequisites:  ECN 100/100A or ARE 100A and a previous or concurrent course in Econ 140

This course will provide an overview of the economics of crime. We will examine economic models of choice and rationality, statistical techniques for analyzing the causes of crime and the effects of crime-control measures, frameworks for understanding the aggregation of individual choices into crime rates and patterns, and contemporary issues and policies in the criminal justice system including drug policy, gun regulation, and race and racial profiling. The central aim of the course is to develop economic thinking to gain insight into the behavior of the key actors (potential offenders, potential victims, and criminal justice agents) and the multiple elements of the justice system that determine crime and justice outcomes.

Instructor: Professor Hannah S. Laqueur

Professor Laqueur is an Assistant Professor at UC Davis in the Department of Emergency Medicine. She earned her PhD from UC Berkeley Law's Jurisprudence and Social Policy program, an interdisciplinary social science program, where she specialized in Law and Economics. She also completed a Masters in Biostatistics at Berkeley, focusing on machine learning methods for causal inference and prediction.


ECN 190-A: MAKING BETTER DECISIONS

Advanced Economics Course

Specialization: Behavior and Strategy

Prerequisites: A grade of C- or better in the courses (ECN 100 or 100A+100B) and (ECN 102 or STA 108). We would use calculus in this course.

This course would introduce you to the technical tools and the experimental evidence which are being used to bridge modern economics with psychology and cognitive sciences. We are going to learn about the following topics: present bias, prospect theory, ambiguity aversion, boundedly rational choices, behavioral game theory, random choice, and, other-regarding preferences.

Instructor: Professor Anujit Chakraborty

Anujit Chakraborty is an Assistant Professor of Economics at UC Davis. He received his Ph.D. in Economics from the University of British Columbia, under Professor Yoram Halevy in 2017. He has previously received a B.E in Electronics Engineering from Jadavpur University and an M.S in Economics from the Indian Statistical Institute. Dr. Chakraborty works in the intersection of Economic Theory, Behavioral Economics, and Experimental Economics.


ECN 190-B: TIME SERIES AND FINANCIAL ECONOMETRICS

Advanced Economics Course

Specialization: Data Analytics and Economic Analysis 

Prerequisites: (ECN 100 or 100A); ECN 101; (ECN 102 or STA 108); or Consent of instructor. Algebra and calculus are extensively used. Problem sets will require use of the computer, in particular the software R.

This course covers the basics of time series and financial econometrics tools as used in economics, business, and especially finance. Time series topics will include linear time-series models, trend modeling, seasonal adjustments, and forecasting. Financial econometrics topics will include term structure modelling of interest rates, CAPM, multifactor pricing, and volatility modeling.

Instructor: Professor Shu Shen

Professor Shen is an Assistant Professor at UC Davis in the Department of Economics. She received her PhD in Economics at the University of Texas as well as her Master's in Economics.  Professor Shen has expertise in econometric theory, applied econometrics and applied microeconometrics. Her research focuses on econometric methods in the following topics: regression discontinuity, Nonparametric/Semiparametric Distributional/Quantile Analysis, multiple testing, and Treatment Effect Heterogeneity  analysis. https://sites.google.com/site/innoshu/

Winter 2020

ECN 190-A: ECONOMICS & MATHEMATICS

Advanced Economics Course

Specialization: Data Analytics and Economic Analysis 

Prerequisites: You should drop this course if you are not willing to engage in hard work each week or if you are allergic to mathematics. You should also drop this course if you don’t satisfy the prerequisites in mathematics: 16A, 16B or 21A, 21B with a grade of a C- or better in each course.

Students will become comfortable with the most important and foundational methods applied in mathematical economics: differential and integral calculus, unconstrained and constrained optimization, methods of comparative statics, and basic applications of mathematics to financial economics. consumer behavior, the behavior of firms, and market exchange.

Instructor: Professor Carvajal Escobar

Andres Carvajal Escobar is an Associate Professor at UC Davis. He is an economic theorist with an emphasis in microeconomics and mathematic economics. He serves as a co-chair of the 2018 North America Summer Meeting of the Econometric Society.


ECN 190-D: ECONOMICS AND BUSINESS DATA ANALYTICS

Advanced Economics Course

Specialization: Data Analytics and Economic Analysis 

Prerequisites: ECN 100 or 100A, STA 13, and ECN 102 with a B grade or higher

This course introduces state-of-the-art econometric methods to analyze economic and business data. Topics of this course include key concepts and tools which are essential for data analyses in economic and business environments. This course is designed as a stepping stone for graduate study. The students are required to implement the programming language R.

Instructor: Professor Takuya Ura

Takuya Ura is an assistant professor of economics at UC Davis. His research interest is econometrics, with emphases on microeconometrics and causal inference.

Fall 2020

ECN 190-B: INTERNATIONAL MACRO-FINANCE 

Advanced Economics Course

Specialization: International Macro-Finance 

Prerequisites: ECN 100 or 100A AND ECN 101

This is an advanced course in international finance.  The goal is to understand how investors from different countries interact in global financial markets.  The course studies the decision-making processes of large firms (both financial and non-financial), institutional investors, and sovereign governments.  It further examines the role of governments and international institutions as intermediaries and regulators of global markets.  The course combines solving rigorous theoretical models, analyzing financial data, and presenting solutions to real-life case studies.  Instructional material includes a required textbook and case study materials, and evaluation is based on exam, assignments, and a short case-study group presentation.

Instructor: Professor Ina Siminovska

Professor Simonovska specializes in international trade, international finance and macroeconomics.  She received her PhD in Economics at the University of Minnesota as well as her Master's in Economics. Their research interests focus on understanding the sources of welfare gains from international integration.

Spring 2019

ECN 190-A01/A02: TIME SERIES AND FINANCIAL ECONOMETRICS (CRN: 69870 and 69871)

Advanced Economics Course

Specialization: Data Analytics and Economic Analysis 

Prerequisites: (ECN 100 or 100A); ECN 101; (ECN 102 or STA 108); or Consent of instructor.

This course covers the basics of time series and financial econometrics tools as used in economics, business, and especially finance. Time series topics will include dynamic linear time-series models, trend modeling, seasonal adjustments, and forecasting. Financial econometrics topics will include term structure modeling of interest rates, CAPM, multifactor pricing, and volatility modeling.

Instructor: Professor Shu Shen

Professor Shen is an Assistant Professor at UC Davis in the Department of Economics. She received her PhD in Economics at the University of Texas as well as her Master's in Economics.  Professor Shen has expertise in econometric theory, applied econometrics and applied microeconometrics. Her research focuses on econometric methods in the following topics: regression discontinuity, Nonparametric/Semiparametric Distributional/Quantile Analysis, multiple testing, and Treatment Effect Heterogeneity  analysis. https://sites.google.com/site/innoshu/


 

ECN 190-001: ECONOMICS OF CRIME (CRN: 92912)

Advanced Economics Course

Specialization: Behavior and Strategy

Prerequisites:  ECN 100/100A or ARE 100A and a previous or concurrent course in Econ 140

This course will provide an overview of the economics of crime. We will examine economic models of choice and rationality, statistical techniques for analyzing the causes of crime and the effects of crime-control measures, frameworks for understanding the aggregation of individual choices into crime rates and patterns, and contemporary issues and policies in the criminal justice system including drug policy, gun regulation, and race and racial profiling. The central aim of the course is to develop economic thinking to gain insight into the behavior of the key actors (potential offenders, potential victims, and criminal justice agents) and the multiple elements of the justice system that determine crime and justice outcomes.

Instructor: Professor Hannah S. Laqueur

Professor Laqueur is an Assistant Professor at UC Davis in the Department of Emergency Medicine. She earned her PhD from UC Berkeley Law's Jurisprudence and Social Policy program, an interdisciplinary social science program, where she specialized in Law and Economics. She also completed a Masters in Biostatistics at Berkeley, focusing on machine learning methods for causal inference and prediction.

 

Winter 2019

ECN 190-A01 & A02: Economics of International Migration

Elective Economics Course

Specialization: Economic History

Prerequisites: ECN 1A & 1B

Specific topics include the study of how immigrants are selected from the population of the countries of origin, how immigrants assimilate into their countries of destination, how immigration influence the economy of the destination country, how immigration influences those left behind and how migration policy is conducted around the world. The course will discuss evidence both from contemporary and historical migration episodes.

Instructor: Professor Santiago Perez

Santiago Pérez specializes in economic history and applied microeconomics. He joined the faculty at UC Davis in 2017 after earning a PhD in Economics from Stanford University.


ECN 190: Sections B01 & B02: Economics & Mathematics

Advanced Economics Course

Specialization: Data Analytics and Economic Analysis 

Prerequisites: You should drop this course if you are not willing to engage in hard work each week or if you are allergic to mathematics. You should also drop this course if you don’t satisfy the prerequisites in mathematics: 16A, 16B or 21A, 21B with a grade of a C- or better in each course.

Students will become comfortable with the most important and foundational methods applied in mathematical economics: differential and integral calculus, unconstrained and constrained optimization, methods of comparative statics, and basic applications of mathematics to financial economics. consumer behavior, the behavior of firms, and market exchange.

Instructor: Professor Carvajal Escobar

Andres Carvajal Escobar is an Associate Professor at UC Davis. He is an economic theorist with an emphasis in microeconomics and mathematic economics. He serves as a co-chair of the 2018 North America Summer Meeting of the Econometric Society.


ECN 190: Sections C01 through C04: Public Economics in International Perspective

Advanced Economics Course

Specialization: Policy, Poverty & Inequality

Prerequisites: ECN 100 or 100A, ECN 102

Public Economics in International Perspective

This course examines a range of social problems and government responses around the world, including in developing countries. Policy areas include health, unemployment, informal insurance, poverty, corruption, and public service delivery. A key goal of the course is to develop quantitative and data analysis toolkits through application to real world policy problems.

The course builds on ECN 102 and focuses on empirical methods for identifying the causal effects of policies on household outcomes. Over the quarter, the course builds toward being able to read and critically assess academic journal articles in economics, performing data analysis, and defining and testing original research hypotheses.

Instructor: Professor Monica Singhal

Monica Singhal is an Associate Professor of Economics at UC Davis. She is also a Research Associate at the National Bureau of Economic Research and a Faculty Affiliate of the International Growth Center. She serves on the Board of Directors of the National Tax Association, as an Associate Editor for the Journal of Development Economics, and as a Co-Editor for the Journal of Public Economics (beginning Fall 2016).

Fall 2019

ECN 190-B: INTERNATIONAL MACRO-FINANCE 

Advanced Economics Course

Specialization: International Macro-Finance 

Prerequisites: ECN 100 or 100A AND ECN 101

This is an advanced course in international finance.  The goal is to understand how investors from different countries interact in global financial markets.  The course studies the decision-making processes of large firms (both financial and non-financial), institutional investors, and sovereign governments.  It further examines the role of governments and international institutions as intermediaries and regulators of global markets.  The course combines solving rigorous theoretical models, analyzing financial data, and presenting solutions to real-life case studies.  Instructional material includes a required textbook and case study materials, and evaluation is based on exam, assignments, and a short case-study group presentation.

Instructor: Professor Ina Siminovska

Professor Simonovska specializes in international trade, international finance and macroeconomics.  She received her PhD in Economics at the University of Minnesota as well as her Master's in Economics. Their research interests focus on understanding the sources of welfare gains from international integration.


ECN 190-D: PUBLIC ECONOMICS IN INTERNATIONAL PERSPECTIVE

Advanced Economics Course

Specialization: Policy, Poverty & Inequality

Prerequisites: ECN 100 or 100A AND ECN 102

This course examines a range of social problems and government responses around the world, including in developing countries. Policy areas include health, unemployment, informal insurance, poverty, corruption, and public service delivery. A key goal of the course is to develop quantitative and data analysis toolkits through application to real world policy problems.

The course builds on ECN 102 and focuses on empirical methods for identifying the causal effects of policies on household outcomes. Over the quarter, the course builds toward being able to read and critically assess academic journal articles in economics, performing data analysis, and defining and testing original research hypotheses.

Instructor: Professor Monica Singhal

Monica Singhal is an Associate Professor of Economics at UC Davis. She is also a Research Associate at the National Bureau of Economic Research and a Faculty Affiliate of the International Growth Center. She serves on the Board of Directors of the National Tax Association, as an Associate Editor for the Journal of Development Economics, and as a Co-Editor for the Journal of Public Economics (beginning Fall 2016).

Fall 2018

ECN 190-A & ECN 190-B: Economics of International Migration

Elective Economics Course

Specialization: Economic History

Prerequisites: ECN 1A & 1B

Specific topics include the study of how immigrants are selected from the population of the countries of origin, how immigrants assimilate into their countries of destination, how immigration influence the economy of the destination country, how immigration influences those left behind and how migration policy is conducted around the world. The course will discuss evidence both from contemporary and historical migration episodes.

Instructor: Professor Santiago Perez

Santiago Pérez specializes in economic history and applied microeconomics. He joined the faculty at UC Davis in 2017 after earning a PhD in Economics from Stanford University.


ECN 190-C: Economic Development in Weak States

Advanced Economics Course

Specialization: Poverty and Inequality

Prerequisites: ECN 100 or ECN 100A or ARE 100A

Weak states face many challenges to economic development, including market failures, poor service delivery, and limited rights and institutions. Many well-understood economic and policy tools exist to address these challenges. But these tools often require a functioning, well-intentioned government (or other legitimate actors) to implement them. This course will examine attempts to improve economic development in cases when governments are not functioning and/or well-intentioned; in cases when corruption, leakage, or more generally poor political accountability and incentives make addressing economic development hard.

Instructor: Professor Arman Rezaee

Professor Rezaee joined the faculty at UC Davis in 2016 after earning a Masters in Public Policy from Harvard's Kennedy School and a PhD in Economics from the University of California, San Diego.


ECN 190-D: Public Economics in International Perspective

Advanced Economics Course

Specialization: Policy, Poverty & Inequality

Prerequisites: ECN 100 or 100A, ECN 102

This course will focus on key public policy problems faced by governments around the world, particularly in developing countries. The course will build on 102 to develop students' quantitative and data analysis toolkits and focus on applying concepts learned to current real world policy debates.

Instructor: Professor Monica Singhal

Monica Singhal is an Associate Professor of Economics at UC Davis. She is also a Research Associate at the National Bureau of Economic Research and a Faculty Affiliate of the International Growth Center. She serves on the Board of Directors of the National Tax Association, as an Associate Editor for the Journal of Development Economics, and as a Co-Editor for the Journal of Public Economics (beginning Fall 2016).


ECN 190-E: Big Data Analysis

Advanced Economics Course

Specialization: Data Analytics & Economic Analysis

Prerequisites: ECN 100 or 100A, STA 13, and ECN 102 with a B grade or higher

This course introduces state-of-the-art econometric methods to analyze big data. Topics include statistical learning, linear regression, classification, resampling methods, and linear model selection and regularization. The objective of this course is to acquire the necessary knowledge in statistical learning and to implement its procedures on the programming language R.

Instructor: Professor Takuya Ura

Takuya Ura is an assistant professor of economics at UC Davis. His research interest is econometrics, with emphases on microeconometrics and causal inference.