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Archive Replays |
Introduction
(Ch. 1)
Time 0-41:33 |
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Ways to Draw from a Density
(Sec. 9.1-9.2)
Time 0-58:37
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Properties of Discrete Choice Models; Logit (Chs. 2-3)
Time 0-33:40, Properties of discrete choice models Time 33:40-55:00, Logit
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Advantages and Limitations of Logit (Ch. 3)
Time 0-24:52, Logit Time 24:52-36:35, Setup for problem set 1 on logit
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Numerical Maximization
(Ch. 8)
Time 0-18.28, Discussion of results for problem set 1 Time 18:28-35:30, Numerical maximization
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Continuation of Numerical Maximization (Ch. 8)
Time 0-38:51, Numerical maximization Time 38:51-1:06:48, Setup for problem set 2 on num. max.
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Nested Logit
(Ch. 4)
Time 0-10:40 Corrections to lecture on num. max. Time 10:40-1:00:50, Discussion of results for problem set 2 Time 1:00:50-1:46:58, Nested logit
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Probit
(Ch. 5)
Time 0-11:35, Discussion of results for problem set 3 on nested logit Time 11:35-1:44:10, Probit
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Probit, Part 2
(Ch. 5)
Time 0-1:17:45, Probit Time 1:17:45-1:37:25, Setup for problem set 4 on probit
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Mixed Logit
(Ch. 6)
Time 0-36:45, Review of
probit
problem set Time 36:45-end, Mixed logit
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Estimation with Simulation
(Ch. 10)
Time 0-1:34:38
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Halton Sequences, Preceded By a Continuation of Estimation With Simulation(Sec. 9.3)
Time 0-55:51, Estimation with simulation Time 55:51-1:42:49, Antithetics and Halton draws
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Individual Specific Parameters
(Ch. 11)
Time 0-1:20:22
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Hierarchical Bayes
(Ch. 12)
Time 0-1:38:55
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Hierarchical Bayes, Part 2; Other Models (Chs. 12, 7)
Time 0-8:47, Discussion of results for problem set 6 on HB Time 8:47-38:08, Comparison of HB and MSL Time 38:08-1:34:56 Other models: variations on our themes
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