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14.384 Time Series Analysis, Fall 2007

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Title: 14.384 Time Series Analysis, Fall 2007
Author: Mikusheva, Anna, 1976-; Schrimpf, Paul
Issue Date: 2007-12
Abstract: The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.
URI: http://hdl.handle.net/1721.1/46343
Other Identifiers: 14.384-Fall2007
Other Identifiers: 14.384
IMSCP-MD5-397319be5b26548558c75500e7efd013
Keywords: univariate stationary, univariate non-stationary, vector autoregressions, frequency domain analysis, persistent time series, structural breaks, dynamic stochastic general equilibrium, DSGE, Bayesian, econometrics, VAR, unit root, prediction regression, GMM, MCMC, 270502, Mathematical Statistics and Probability, 450603, Econometrics and Quantitative Economics

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