Publications by Aritra
HW_3_AR
1 Setup 1.0.1 Setup - empty variables and functions in the environment tab/window # Clear the workspace rm(list = ls()) # Clear environment gc() # Clear unused memory ## used (Mb) gc trigger (Mb) limit (Mb) max used (Mb) ## Ncells 534753 28.6 1193162 63.8 NA 669405 35.8 ## Vcells 992663 7.6 8388608 64.0 1...
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HW-3_revised
1 Introduction The objective is to analyze and model a data set containing information on approximately 12,000 commercially available wines. The variables are mostly related to the chemical properties of the wine being sold. The response variable is the number of sample cases of wine that were purchased by wine distribution companies after sampling...
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Discussion
#Clearing up the environment rm(list = ls()) 1 1. Issue Heteroskedasticity occurs when the variance of the error term in a regression model is not constant across all obvservations. This makes the standard errors unreliable, leading to incorrect conclusions about statistical significance. In the Breusch-Pagan or White test, the null hypothesis is ...
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IV Discussion
1. Research Question The authors aim to estimate the causal effect of changes in prison population size on crime rates. Specifically, they investigate whether increasing the number of incarcerated individuals reduces crime, and if so, by how much. 2. Naive OLS Regression Specification A novice econometrician might run the following OLS regression:...
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Homework_2
Setting up environment # Clear the workspace rm(list = ls()) # Clear environment gc() # Clear unused memory ## used (Mb) gc trigger (Mb) limit (Mb) max used (Mb) ## Ncells 530404 28.4 1180741 63.1 NA 669397 35.8 ## Vcells 989609 7.6 8388608 64.0 16384 1851879 14.2 cat("\f") # Clear the console graph...
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Discussion_AR
# Clear the workspace rm(list = ls()) # Clear environment - remove all files from your workspace invisible(gc()) # Clear unused memory cat("\f") # Clear the console graphics.off() # clear all graphs #Importing necessary libraries library(MASS) library(stargazer) ## ## Please cite as: ## Hlavac, Marek (2022). stargazer: Well-Format...
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Document 8
Environment Setup # Clear the workspace rm(list = ls()) # Clear environment gc() # Clear unused memory cat("\f") # Clear the console dev.off # Clear the charts #List all required packages packages <- c("plm", "tidyverse", "dplyr", "ggplot2", "kableExtra", ...
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DID
Setting up the environment #Clearing the environment rm(list = ls()) ## ## 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 ## ── Attaching core tidyverse packages ───────────────�...
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Discussion-5
#Clearing environment rm(list = ls()) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(psych) library(stargazer) ## ## Please cite as: ## Hlavac, Marek (20...
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Discussion-4
#Clear the environment rm(list = ls()) #Installing necessary libraries invisible(library(AER)) library("psych") I. The Gauss-Markov assumptions are crucial for linear regression analysis: Linearity: 2.Linearity means we assume that when we change one thing, the outcome changes in a straightforward, predictable way. Imagine you're selling lemonade;...
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