Udemy - Applied Empirical Economics with R and Machine Learning

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Foundations of Linear Regression Analysis
• 1 - Overview.mp4 (43.9 MB)
• 10 - R-squared.mp4 (11.0 MB)
• 11 - Wine out-of-sample prediction.mp4 (30.5 MB)
• 2 - Linear Regression.mp4 (30.2 MB)
• 3 - Ordinary Least Squares Estimation.mp4 (14.5 MB)
• 4 - Estimating the Linear Regression in R.mp4 (36.6 MB)
• 5 - Regression Results and Adding Age as Explanatory Variable.mp4 (21.6 MB)
• 6 - Explaining effect of age on temperature coefficient.mp4 (43.7 MB)
• 7 - Channel Variables.mp4 (20.5 MB)
• 8 - Unobserved confounders.mp4 (47.0 MB)
• 9 - Log-level regression.mp4 (48.4 MB)
2 - Machine Learning for Prediction and Model Evaluation
• 1 - Machine Learning.mp4 (27.2 MB)
• 10 - Bagging in Random Forests.mp4 (20.9 MB)
• 11 - Hyperparameter Tuning.mp4 (27.1 MB)
• 12 - Hyperparameter tuning with a validation data set.mp4 (29.8 MB)
• 13 - k-fold cross validation.mp4 (31.8 MB)
• 2 - Predications for training data sets.mp4 (10.3 MB)
• 3 - Predications for test data sets.mp4 (9.4 MB)
• 4 - Mean absolute error and root mean squared error.mp4 (20.8 MB)
• 5 - Overfitting.mp4 (24.9 MB)
• 6 - Regression Trees.mp4 (17.8 MB)
• 7 - Estimating a regression tree.mp4 (25.7 MB)
• 8 - Optional Regression trees and dummy variable regression.mp4 (13.8 MB)
• 9 - Random forests.mp4 (8.0 MB)
3 - Deep Dive into Linear Regression and Causal Inference
• 1 - Linear regression.mp4 (44.5 MB)
• 10 - Example continued..(1).mp4 (6.4 MB)
• 11 - Example continued..(2).mp4 (21.9 MB)
• 12 - Example continued..(3).mp4 (31.9 MB)
• 13 - Indogeneity and Exogeneity.mp4 (55.6 MB)
• 14 - Causal graphs and endogeneity.mp4 (39.5 MB)
• 15 - Bias of OLS estimator in the homework example.mp4 (18.1 MB)
• 16 - Bias of OLS estimator in the homework example cont..(1).mp4 (17.5 MB)
• 17 - Bias of OLS estimator in the homework example cont...(2).mp4 (37.3 MB)
• 18 - Bias of OLS estimator in the homework example cont...(3).mp4 (15.9 MB)
• 19 - Bias of OLS estimator in the homework example cont...(4).mp4 (13.8 MB)
• 2 - Estimating sample linear regression example.mp4 (28.3 MB)
• 20 - Bias of OLS estimator in the homework example cont...(5).mp4 (16.6 MB)
• 21 - Bias of OLS estimator in the homework example cont...(6).mp4 (20.5 MB)
• 22 - Are there sources of exogenous variation in our homework example.mp4 (32.6 MB)
• 23 - The causal effects of education.mp4 (13.5 MB)
• 24 - Abstract of two empirical studies.mp4 (116.4 MB)
• 25 - Randomized Experiments.mp4 (29.5 MB)
• 26 - Interpreting Effect Sizes.mp4 (30.5 MB)
• 27 - Non-linear effects.mp4 (67.8 MB)
• 28 - Heterogeneous effects.mp4 (46.8 MB)
• 3 - Estimating sample linear regression continued...(1).mp4 (52.7 MB)
• 4 - Estimating sample linear regression continued...(2).mp4 (15.0 MB)
• 5 - Estimating sample linear regression continued...(3).mp4 (30.8 MB)
• 6 - Formula standard error in simple linear regression.mp4 (23.8 MB)
• 7 - Simulated emperical distribution, convergence of OLS estimator, coefficients.mp4 (29.7 MB)
• 8 - Confidence intervals, t-values, p-values and significance stars.mp4 (67.5 MB)
• 9 - Example homework.mp4 (11.5 MB)
4 - Experimental Design and Difference-in-Differences Analysis
• 1 - Experiment - Study the Impact of Search Engine Advertisement.mp4 (31.7 MB)
• 10 - The parallel trends assumption.mp4 (43.0 MB)
• 2 - Controlled Experiments to Study Revenue Impact of SEM.mp4 (38.6 MB)
• 3 - Experiment continued.mp4 (19.4 MB)
• 4 - Difference in Difference Estimator.mp4 (55.1 MB)
• 5 - DiD estimation via linear regression.mp4 (70.0 MB)
• 6 - DiD estimation via linear regression cont.mp4 (14.9 MB)
• 7 - Fixed Effects Estimator.mp4 (72.9 MB)
• 8 - Cluster-Robust Standard Errors.mp4 (43.9 MB)
• 9 - Discussion The Effects of Search Engine Marketing.mp4 (74.0 MB)
5 - Instrumental Variables and Advanced Causal Inference
• 1 - A large scale job counseling experiment.mp4 (28.5 MB)
• 10 - IV regression in our job counseling application.mp4 (26.3 MB)
• 11 - Excursion Should we worry about the small R-squared in the regressions.mp4 (41.7 MB)
• 12 - Which average treatment effect does our IV estimator estimate.mp4 (32.2 MB)
• 13 - The Rubin causal model and average treatment effects.mp4 (87.4 MB)
• 14 - IV estimator estimates local average treatment effect (LATE).mp4 (83.1 MB)
• 15 - Not perfectly randomized treatment allocation.mp4 (16.8 MB)
• 16 - Region fixed effects or inverse probability weighting.mp4 (47.9 MB)
• 17 - An example to motivate inverse probability weighting.mp4 (120.3 MB)
• 18 - 4 regressions for our inverse probability weighting example and discussion.mp4 (84.6 MB)
• 19 - Back to our job-counseling application.mp4 (44.4 MB)
• 2 - Experiment continued - the OLS Regression.mp4 (42.5 MB)
• 3 - Experiment continued - the endogeneity problem.mp4 (22.5 MB)
• 4 - Instrumental Variable Estimation.mp4 (24.1 MB)
• 5 - Instrumental Variable Estimation in a Simple Linear Regression.mp4 (13.3 MB)
• 6 - IV Estimation via Two-Stage Least Squares.mp4 (45.2 MB)
• 7 - Direct IV estimation.mp4 (19.6 MB)
• 8 - IV estimation with more than one instrument and with control variables.mp4 (62.9 MB)
• 9 - IV estimation in our job counseling application.mp4 (22.0 MB)
• Bonus Resources.txt (0.1 KB)