##ex1
- R introduction
- function and loops
- basic plotting
##twitterapi
- example on how to extract twitter data
##hoteldata
- hotel data example
- descriptive statistics
- ggplot
- heterosc robust standard errors, bootstrapping
- univariate linear regression
- log log, log level, level log
##cps71
- polynomials linear regression models with visualisation and confidence models
- non parametric regressions and visualisation (local constant, local linear)
##morg2014emp
- kernel density regression
- creating dummy/binary variables
- prediction from regression
- interactions and interpretation
- heterosc. robust regressions and prediction
- hypothesis testing/joint testing
##mroz: Female labor force participation
- LPM vs logit/probit models
- marginal effects
- prediction for a profile
- goodness of fit: pseudo R2
- sensitivity, specificity
- ROC
##elecequip: time series analysis part 1
- time series decomposition
- philipp perron test
- autocorrelation, partial autocorrelation
- AR, MA, ARMA, ARIMA
- forecasting
##tsstationarity: time series part 2
- spurious regression
- stationarity testing: Elliott Rothenburg Test, KPSS
- Granger causality
##immunizationpanel - panel data
- fixed effects
- robust se
- clustering
- first diff regression
- coef interpret
##panel 2
- fixed effects vs random effects
- Hausman testing
- first difference regression
- dynamic panel: GMM
merge conflict nicht gut diese, deswegen erst git pull mashallah