Teaches mathematical skills and logical thinking for use in economics. Topics include algebra, graphs, functions, and probability. The class includes many "Real world" examples and some illustrative computer assignments. Approved for arts and sciences core curriculum: quantitative reasoning and mathematical skills. Requisites: Requires prerequisite course of MATH 1011 (minimum grade C-) or an ALEKS math score of 46% or greater.
Continuation of ECON 1078. Teaches mathematical skills for use in economics. Topics include derivatives, optimization, and integration. These skills are used on "real world" problems, and illustrated with computer assignments. Credit not granted for this course and MATH 1080, 1081, 1090, 1100,1300, 1310, and APPM 1350. Approved for arts and sciences core curriculum: quantitative reasoning and mathematical skills. Requisites: Requires prerequisite course of ECON 1078 or MATH 1071 (minimum grade C-) or an ALEKS math score of 61% or greater.
Introduces statistical methods and their applications in quantitative economic analysis. Requisites: Requires prerequisite courses of ECON 2010 & 2020 and either ECON 1088 or MATH 1081 or MATH 1300 or MATH 1310 or APPM 1350 (all minimum grade C-). Restricted to students with 22-180 units completed.
Introduces the use of mathematics in economics. Topics include vectors and matrices, differential calculus, and optimization theory, with economic applications. Requisites: Requires prerequisite courses of ECON 3070 and ECON 3818 or APPM 4520 or APPM 4570 or CHEN 3010 or CVEN 3227 or MATH 4520 (all minimum grade C-).
Provides undergraduate economics majors with an introduction to econometric theory and practice. Develops the multiple regression model and problems encountered in its application in lecture and individual applied projects. Requisites: Requires prerequisite courses of ECON 3070 and ECON 3818 or APPM 4520 or APPM 4570 or CHEN 3010 or CVEN 3227 or MATH 4520 (all minimum grade C-).
Teaches basic concepts in Java programming applied to economic models. Development of Web pages and dynamic modeling will be introduced. Students will gain a foundation that can be applied to creating advanced applications relating to analysis of statistical data and custom projects. Requisites: Requires prerequisite courses of ECON 3070 and ECON 3818 or APPM 4520 or APPM 4570 or CHEN 3010 or CVEN 3227 or MATH 4520 (all minimum grade C-).
Introduces students to the practice of applied regression analysis. Summarizes and reviews the regression technique, explores U.S. census data sources, introduces an advanced statistical software package and provides structured exercises in regression analysis of census data. Concludes with independent research projects analyzing social and economic issues using regression analysis and census data. Requisites: Requires prerequisite courses of ECON 3070 and ECON 3818 or APPM 4520 or APPM 4570 or CHEN 3010 or CVEN 3227 or MATH 4520 (all minimum grade C-).
Introduces statistical models, estimation and testing procedures used in analyzing financial data for advanced undergraduates. Topics include the modeling of returns, portfolio theory, the capital asset pricing model, options pricing and fixed income securities. Recommended prereq., ECON 4818. Requisites: Requires prerequisite course of ECON 3818 or APPM 4520 or APPM 4570 or CHEN 3010 or CVEN 3227 or MATH 4520 (minimum grade C-).
Computer simulation modeling translates theory into computer code to examine questions numerically; for example, the effects of taxes or emissions permits on welfare and income distribution. We use GAMS (general algebraic modeling system); a version may be downloaded for free. Students must have access to a computer (not needed in the classroom). Requisites: Requires prerequisite course of ECON 3070 (minimum grade C-).
Provides the mathematical foundation for Ph.D. level statistical inference in economic research. The primary topics of the course are probability theoryand mathematical statistics including hypothesis testing and classical estimation with an emphasison the method of maximum likelihood. Requisites: Restricted to graduate students only.
Continuation of ECON 7818. Topics include regression analysis and extensions of the linear regression model to generalized least squares, time series data, and systems of equations. Department enforced prereq., ECON 7818.
First semester of two-semester sequence in econometrics for PhD students. Studies least squares and generalized least squares estimation of linear econometric models. Asymptotic (large sample) theory of inference. Some topics in the estimation of microdata. Department enforced prereq., ECON 7818. Requisites: Restricted to graduate students only.
Teaches the advanced level of econometrics theory. Topics include asymptotic theory, maximum likelihood estimation, limited dependent variables analysis and other frontier areas of econometrics such as the method of moment estimation, semiparametric and nonparametric estimation procedure. Department enforced prereq., ECON 7828.
Presents a "User's guide" to conducting empirical research in applied microeconomics. Begins with a primer on an industry-standard econometric software package including programming techniques and data management. Introduces advanced econometric techniques including panel data methods, IV, matching models, regression discontinuity, and limited dependent variables models. Concludes with a research project requiring a replication and/or extension of an existing published paper. Department enforced prereqs., ECON 7818 and ECON 7828. Requisites: Restricted to graduate students only.
Teaches students to construct a variety of applied economic models, obtain parameter values through calibration or estimation techniques, and uses the resulting models to conduct policy simulations. Department enforced prereqs., ECON 7010 and ECON 7818. Requisites: Restricted to graduate students only.
