Publications by Arvind Sharma
OVB_and_Modelling_Nonlinear_Rel
Table of contents OVB EXAMPLE: Gender Discrimination in Wages Data Full Regression Short Regression Check for OVB Condition I. X is correlated with the omitted variable. Condition II. The omitted variable is a determinant of the dependent variable Y. Predicting Biased Coefficient Value EXAMPLE: Test Scores and Student Teacher Ratio English La...
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Diff_in_Diff_Discussion
Difference in Difference Dr. Arvind Sharma Introduction Difference-in-differences (DiD) is a statistical technique commonly used in Econometrics and social sciences to estimate the causal effect of an intervention or policy change (aka “treatment”) on an outcome of interest Origins of Diff-in-Diff: John Snow’s Cholera1 Hypothesis (water ...
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MathReview
Math Review Table of contents 1 Theory 2 Implementation in R 2.1 Matrix A 2.1.1 Alternative ways to create a matrix 2.2 RConics for adjugate of a matrix 2.3 Matrix B 2.4 Matrix C 2.5 Matrix D 2.6 Matrix E 2.6.1 NA values 3 APPENDIX # Clear the work space rm(list = ls()) # Clear environment gc() # Clear unused memory ...
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test
1 Intro 1.1 Description Contains the daily closing prices of major European stock indices: Germany DAX (Ibis), Switzerland SMI, France CAC, and UK FTSE. The data are sampled in business time, i.e., weekends and holidays are omitted. \[ y_i = \beta_0^t + \Sigma_0^n x_i + \sigma + \epsilon_i \] the asjhbjahs c. asjhbas BK ASNKJasdbas 2+2 # BASIC A...
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HW1_template_hints
Table of contents 1 INSTRUCTIONS 2 Setup 2.1 Empty variables and functions in the environment tab/window 2.2 Load packages 2.3 Load raw data 3 Data Analysis 3.1 Data Visualization 3.1.1 Missing Observations 3.1.2 Imputing Missing Observations 3.1.3 Correlation Plot 3.2 Graphs 3.3 Summary Statistics 4 Regression 4.1 Multicollinearity 4.2 Res...
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setup
Table of contents 1 Introduction 1.1 Quarto 1.2 Running Code 1.3 Reproducible Reports with Quarto and R Markdown Setup 1 Introduction 1.1 Quarto Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org. 1.2 Running Code When you click the Render button a docum...
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hello
Table of contents 1 Meet Quarto 2 Meet the penguins 3 ggplot Hello, Quarto library(tidyverse) library(palmerpenguins) 1 Meet Quarto Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org. 2 Meet the penguins The penguins data from the palmerpenguins package ...
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computations
Quarto Computations This dataset contains a subset of the fuel economy data from the EPA. Specifically, we use the mpg dataset from the ggplot2 package. library(ggplot2) The visualization below shows a positive, strong, and linear relationship between the city and highway mileage of these cars. Additionally, mileage is higher for cars with fewer...
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beta_coefficient_cov_var
Table of contents Load Data Variable Definitions Exploratory Data Analysis (EDA) Linear Regression Covariance-Variance formula for slope Looking Ahead: Multivariate Regression Covariance Variance Formula Load Data Read up on the data. The CO2 data frame has 84 rows and 5 columns of data from an experiment on the cold tolerance of the grass s...
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datasets
Table of contents 1 Datasets Inbuilt Package 2 Quakes Description 3 Carbon Dioxide Uptake in Grass Plants Description 4 Biochemical Oxygen Demand Description 5 Edgar Anderson’s Iris Data Description 6 Intercountry Life-Cycle Savings Data Description 7 Level of Lake Huron 1875–1972 Description 8 Diameter, Height and Volume for Black Cherry Tree...
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