Publications by Daniel Schick
Discussion_Week6_Diff-in-diff
library(knitr) library(rsconnect) library(readxl) library(tinytex) ## Warning: package 'tinytex' was built under R version 4.2.3 library(stargazer) ## ## Please cite as: ## Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables. ## R package version 5.2.3. https://CRAN.R-project.org/package=stargazer 1. Rea...
2430 sym R (1996 sym/11 pcs) 1 tbl
Discussion: OVB
rm(list=ls()) library(ggplot2) library(stargazer) ## ## Please cite as: ## Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables. ## R package version 5.2.3. https://CRAN.R-project.org/package=stargazer library(corrplot) ## Warning: package 'corrplot' was built under R version 4.2.3 ## corrplot 0.92 loaded ...
6544 sym R (34382 sym/42 pcs)
Weekly Discussion: Gauss Markov Assumptions and Residual Analysis
Gauss Markov Assumptions 1. State Assumptions: The first Guass Markov assumption is that the relationship between x and y is linear. The second Gauss Markov assumption is that there is no perfect multicollinearity between column vectors. This means that the columns of X are linearly independent. The third assumption is that the disturbances av...
8838 sym R (3021 sym/30 pcs) 32 img
Discussion: Presenting OLS point estimates in R Markdown
1. Data Set: MurderRates The selected data set, MurderRates, contains data on 44 states (states are not named) in 1950 analyzing the determinants of murder rates in the United States. The data frame consists of 44 observations on 8 variables. This data is cross-sectional in nature. Variables: rate: murder rate per 100,000 (FBI estimate, 1950) ...
1699 sym R (3269 sym/23 pcs)
Econometrics Discussion 3: Presenting OLS point estimates in R Markdown
1. Data Set: MurderRates The selected data set, MurderRates, contains data on 44 states (states are not named) in 1950 analyzing the determinants of murder rates in the United States. The data frame consists of 44 observations on 8 variables. This data is cross-sectional in nature. Variables: rate: murder rate per 100,000 (FBI estimate, 1950) ...
1538 sym R (3269 sym/23 pcs)
Discussion 3:Presenting OLS point estimates in R Markdown
1. Data Set: MurderRates The selected data set, MurderRates, contains data on 44 states (states are not named) in 1950 analyzing the determinants of murder rates in the United States. The data frame consists of 44 observations on 8 variables. This data is cross-sectional in nature. Variables: rate: murder rate per 100,000 (FBI estimate, 1950) ...
1699 sym R (3269 sym/23 pcs)
Document 9_18_23
1. Data Set: MurderRates The selected data set, MurderRates, contains data on 44 states (states are not named) in 1950 analyzing the determinants of murder rates in the United States. The data frame consists of 44 observations on 8 variables. This data is cross-sectional in nature. Variables: rate: murder rate per 100,000 (FBI estimate, 1950) ...
1697 sym R (3269 sym/23 pcs)
Econometric_Discussion_3
library("AER") ## Warning: package 'AER' was built under R version 4.2.3 ## Loading required package: car ## Loading required package: carData ## Loading required package: lmtest ## Warning: package 'lmtest' was built under R version 4.2.3 ## Loading required package: zoo ## Warning: package 'zoo' was built under R version 4.2.3 ## ## Attaching p...
2062 sym R (78144 sym/80 pcs) 2 img
Publish Document
library("AER") ## Warning: package 'AER' was built under R version 4.2.3 ## Loading required package: car ## Loading required package: carData ## Loading required package: lmtest ## Warning: package 'lmtest' was built under R version 4.2.3 ## Loading required package: zoo ## Warning: package 'zoo' was built under R version 4.2.3 ## ## Attaching p...
2060 sym R (76510 sym/78 pcs) 2 img