31 - 40 of 173 results for: ECON

The objective of the course is to introduce you to time series analysis and forecasting methods. Students will master a mix of theoretical and applied econometrics techniques used in macroeconomic and financial applications. Topics to be covered potentially include but are not limited to: regression from a predictive viewpoint; forecasting trends and seasonality; exponential smoothing models; ARMA models; stochastic trends, unit roots, and cointegration; structural breaks; point, interval and density forecasts; forecast evaluation and combination; vector autoregression including impulse-response estimation and analysis; dynamic factor models; volatility forecasting using GARCH models; conditional forecasting models and scenario analysis. The course emphasizes hands-on experience, and all students will acquire knowledge of the programming language R in the context of time series models and forecasting. Prerequisites: ECON 102B. Students with a strong background in Statistics may reach out to the Economics Undergraduate office for permission to enroll.

This course introduces students to the world food economy and its economic, political, and environmental drivers - past, present, and future. It is comprised of three major sections: (a) structural features (agronomic, technological, economic, and political) that determine the nature of domestic food systems; (b) the role of domestic food and agricultural policies in international markets and the integrating forces of international research, trade, and food aid in the world food economy; and (c) future constraints to food security, with an emphasis on the environment. The course centers on food markets and food policy within a global context, with slightly more emphasis on U.S. food and agricultural policy, and regions with historically high prevalence of food insecurity. The course can be taken for 3 units without the modeling exercise, and for 5 units with the modeling exercise. Students will be expected to complete a significant amount of reading in advance of each meeting, to conduct both theoretical and empirical analysis throughout the quarter, and to undertake a large group modeling project focused on forecasting food prices, trade, and food security across regions (if taking the course for 5 units).

This course introduces students to machine learning (ML) methods with a focus on applications in economics. Topics include supervised and unsupervised learning, causal inference, text analysis and forecasting using modern ML tools. Students will gain hands-on experience working with economic data in Python/R and learn how to apply ML techniques for both prediction and policy analysis. Prior knowledge of econometrics is required; no machine learning background is assumed.

This course will teach from a textbook written by a prominent economist with leading expertise in data science and machine learning. Students will be presented with statistical techniques to process big data for making business and economics decisions. Topics may include statistical uncertainty, regression, classification and factor analysis, experimentations and controls, frameworks for causal inference. We will also explore the relations between nonparametric econometrics, machine learning and artificial intelligence. The statistical package R will be used to illustrate concepts and theory.

The possibilities for economic measurement have been transformed through observation of the earth from satellites. In this course, we will study the array of possibilities in free and commercial imagery, and link up to applications in economic research and industry. The course will start from the physics foundations of how satellites see the earth, examine measurement opportunities at all frequencies, show research and business applications, and carry the student to the point of writing code in Julia for one small problem. Pre-requisites: ECON 1

This course teaches the standard tools and techniques of corporate finance, with an emphasis on valuing firms and projects. It is designed for undergraduates who have already taken an introductory finance class, and familiarity with spreadsheets is required. The course will begin with financial statement analysis, then introduce fundamental valuation concepts, and conclude by covering topics such as agency theory and leverage choice. The course will feature group homework assignments and a final exam. This course qualifies for the major in Economics.

The primary course goal is for students to master the logic, intuition and operation of a financial system - money, financial markets (money and capital markets, debt and equity markets, derivatives markets), and financial institutions and intermediaries (the Central Bank, depository institutions, credit unions, pension funds, insurance companies, venture capital firms, investment banks, mutual funds, etc.). In other words, how money/capital change hands between agents over time, directly and through institutions. Material will be both quantitative and qualitative, yet always highly analytical with a focus on active learning - there will be an approximately equal emphasis on solving mathematical finance problems (e.g. bond or option pricing) and on policy analysis (e.g. monetary policy and financial regulation.) Students will not be rewarded for memorizing and regurgitating facts, but rather for demonstrating the ability to reason with difficult problems and situations with which they might not previously be familiar. Prerequisite: Econ 50, 52. Strongly recommended but not required: some familiarity with finance and statistics. Summer session students wishing to enroll who feel they have the appropriate prerequisites from another institution may submit that information, transcript or syllabus that is similar to Econ 52, to econ-undergrad@stanford.edu.

A thematic discussion of the economic history of the United States, with emphasis on the perspective it gives on modern-day economic and social issues. Topics will include economic growth, government intervention in the economy, economic causes and consequences of slavery, immigration, women's changing role in the economy, income inequality, and economic mobility. Prerequisite: Econ 1

This course seeks to hand students an analytical and institutional framework to think about government debt sustainability in mature economies like the U.S. These economies are currently facing unprecedented fiscal headwinds. We introduce the basics of textbook finance as we build the foundations to price the government debt portfolio and determine its riskiness. We emphasize that the government's cost of funding will depend on its policy choices. We also analyze the proper functioning of government debt markets both from a micro and a macro perspective. We discuss the role of central banks and financial regulators in ensuring that bond markets function properly. Finally, we consider the interaction between central banks and their governments in setting monetary and fiscal policy. Students will be able to address questions like "Are US Treasurys Risky or Safe?", "Is the US on a fiscally sustainable path?" and "Can we run a Sovereign Wealth Fund with borrowed money?" (Same as BUSGEN 113)