Jump to content

SpL708

From IITD Wiki
SpL708
Statistics for public policy
Credits 3
Structure 3-0-0
Pre-requisites
Overlaps MSL721, HUL315/HSL719

SpL708 : Statistics for public policy

[edit]

Probability and statistics Basics (Random variables, Population and sample, Parameters and Estimates, Normal distribution, Sampling distributions of estimates, Confidence intervals); Hypothesis testing (z-test, t-tests, chi square tests, p-values, comparison of means tests); Bivariate linear regression model; Multivariate regression model (Gauss Markov Theorem, Inference and Prediction, ANOVA); Model Specification Errors (Omitted Variables, Irrelevant Variables); Dealing with real-world issues (Multicollinearity, Heteroskedasticity, Outliers); Categorical variables in linear regression (Dummy Variables, Logit/ Probit models); Introduction to Time Series Analysis; Introduction to Panel Data Analysis; Correlation vs Causation.