2013-2014 2014-2015 2015-2016 2016-2017 2017-2018
Browse
by subject...
    Schedule
view...
 

121 - 130 of 156 results for: ECON

ECON 271: Intermediate Econometrics II

Linear regression model, relaxation of classical-regression assumptions, simultaneous equation models, linear time series analysis, nonlinear estimation. Limited enrollment. Prerequisite: 270.
Terms: Win | Units: 2-5 | Grading: Letter or Credit/No Credit

ECON 272: Intermediate Econometrics III

Continuation of 271. Analysis of randomized experiments, identification and estimation of treatment effects, instrumental variables, nonlinear models, generalized methods of moments. Prerequisites: Econ 271 or permission of instructor.
Terms: Spr | Units: 2-5 | Grading: Letter or Credit/No Credit
Instructors: Imbens, G. (PI)

ECON 273: Advanced Econometrics I

Possible topics: parametric asymptotic theory. M and Z estimators. General large sample results for maximum likelihood; nonlinear least squares; and nonlinear instrumental variables estimators including the generalized method of moments estimator under general conditions. Model selection test. Consistent model selection criteria. Nonnested hypothesis testing. Markov chain Monte Carlo methods. Nonparametric and semiparametric methods. Quantile Regression methods.
Terms: Aut | Units: 2-5 | Grading: Letter or Credit/No Credit
Instructors: Hong, H. (PI)

ECON 274: Advanced Econometrics II

(Formerly 273B); Possible topics: nonparametric density estimation and regression analysis; sieve approximation; contiguity; convergence of experiments; cross validation; indirect inference; resampling methods: bootstrap and subsampling; quantile regression; nonstandard asymptotic distribution theory; empirical processes; set identification and inference, large sample efficiency and optimality; multiple hypothesis testing.
Terms: Spr | Units: 2-5 | Grading: Letter or Credit/No Credit
Instructors: Romano, J. (PI)

ECON 275: Time Series Econometrics

Stochastic processes and concepts such as stationarity, ergodicity, and mixing. Inference with heteroskedastic and autocorrelated time series; autoregressive and moving average models; unit root processes and asymptotic analysis of such; tests for structural change; vector autoregressive models; cointegration; impulse response analysis; forecasting; ARCH and GARCH volatility models. Prerequisites: 270, 271.
Terms: not given this year | Units: 2-5 | Grading: Letter or Credit/No Credit

ECON 276: Computational Econometrics

Theory and computational methods necessary to implement state-of-the-art econometric methods used in theory-based empirical work. Topics covered include: computation of nonlinear M-estimators subject to equality and inequality constraints, simulation estimators, indirect inference, Markov Chain Monte Carlo methods, resampling (bootstrap and sub-sampling) methods for estimation and inference, dynamic discrete choice models, continuous and discrete mixture models and estimation and inference for partially identified models.
Terms: Win | Units: 2-5 | Grading: Letter (ABCD/NP)

ECON 277: Behavioral and Experimental Economics III

Economics 277 is a course for graduate students in the Economics department writing dissertations with behavioral or experimental components. Economics 277 is part of a three course sequence (along with Econ 278 & 279), which has two main objectives: 1) examining theories and evidence related to the psychology of economic decision making; 2) introducing methods of experimental economics, and exploring major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objectives of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. Prerequisites: 204 and 271, or consent of instructor.
Terms: Spr | Units: 2-5 | Grading: Letter or Credit/No Credit

ECON 278: Behavioral and Experimental Economics I

This is the first half of a three course sequence (along with Econ 277 & 279) on behavioral and experimental economics. The sequence has two main objectives: 1) examines theories and evidence related to the psychology of economic decision making, 2) Introduces methods of experimental economics, and explores major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objects of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. Prerequisites: 204 and 271, or consent of instructor.
Terms: Aut | Units: 2-5 | Grading: Letter or Credit/No Credit

ECON 279: Behavioral and Experimental Economics II

This is part of a three course sequence (along with Econ 277 & 278) on behavioral and experimental economics. The sequence has two main objectives: 1) examines theories and evidence related to the psychology of economic decision making, 2) Introduces methods of experimental economics, and explores major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objects of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. Prerequisites: 204 and 271, or consent of instructor.
Terms: Win | Units: 2-5 | Grading: Letter (ABCD/NP)

ECON 282: Contracts, Information, and Incentives

Basic theories and recent developments in mechanism design and the theory of contracts. Topics include: hidden characteristics and hidden action models with one and many agents, design of mechanisms and markets with limited communication, long-term relationships under commitment and under renegotiation, property rights and theories of the firm.
Terms: Win | Units: 2-5 | Grading: Letter or Credit/No Credit
Instructors: Segal, I. (PI)
Filter Results:
term offered
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints