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	<title>HSL719 - Revision history</title>
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	<updated>2026-04-09T09:36:34Z</updated>
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		<title>Prashantt492: Creating course page via bot</title>
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		<updated>2026-03-04T10:09:57Z</updated>

		<summary type="html">&lt;p&gt;Creating course page via bot&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Infobox Course&lt;br /&gt;
| code = HSL719&lt;br /&gt;
| name = Advanced Econometrics&lt;br /&gt;
| credits = 3&lt;br /&gt;
| credit_structure = 3-0-0&lt;br /&gt;
| pre_requisites = For UG students: HUL315 / HUL215&lt;br /&gt;
| overlaps = &lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
== HSL719 : Advanced Econometrics ==&lt;br /&gt;
Course contents (about 100 words) (Include laboratory/design activities): 1. Review of Classical Linear Regression Model: Gauss-Markov assumptions, finite sample properties, large sample properties. 2. Instrumental Variable Estimation: Motivation for instrumentation, Simultaneity Bias, Endogeneity and Measurement Error; IV Estimation; 2SLS Estimation. 3. Generalized Method of Moments: Single equation linear GMM. 4. Systems of Equations: Seemingly Unrelated Regressions (SUR) model; Simultaneous Equations Models: Identification. 5. Panel Data models: Pooled Estimation; Unobserved Heterogeneity: Fixed vs. Random Effects; ML vs. GMM estimation. 6. Discrete Choice Models: Binary response models, Multinomial Response Models, Ordered Response Models. 7. Censored Regression Models: Estimation and Inference with Censored Tobit. 8. Estimating Average Treatment Effects: Regression Methods, Methods Based on the Propensity Score, Estimating the ATE Using IV.&lt;/div&gt;</summary>
		<author><name>Prashantt492</name></author>
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