The warchest
Table 0
Table 1
Visualizing data
A good plot is worth a pub in A journal.
Statistical tools
Tests
Models
Predictions
Variable names and description
Saves editors and reviewers’ time by advising them of what variables represent.
Empirics start with Table 1.
After the abstract, Table 1 is the most critical part of the paper.
The first and most important table in the manuscript
Sets the stage for the evidence that follows
Should present sufficient evidence to necessitate the need for further inquiry
Must present only relevant variables and appropriate summary statistics
Means and Standard Deviations for continuous variables
Frequencies and percentages for categorical variables
Show tests if necessary
htsummary (my favourite)
dtable (new in Stata 18)
See examples
https://journals.sagepub.com/doi/pdf/10.1177/1536867X1201200409
Old wine in new bottles. A place where most destinations are reachable in 15 minutes by sustainable modes and public transit.
The Challenge: Demographics and location
Downtown by another name
webuse nhanes2
dtable age weight bpsystol i.sex i.race, by(diabetes, tests)
Depending upon the type of dependent variable
Continuous
Categorical
Depending upon the structure of data
Cross-section
Panel
Time Series
Panel Time Series
Ordinary Least Squares Regression (OLS)
Generalized Least Squares
Dichotomous DV (Logit / Probit)
Ordinal DV (Ordinal)
Multinomial Loit/Probit
Fixed Effects
Random Effects
Two-way Fixed Effects
Univariate data
Multivariate Time Series
VAR
Error Correction …
Treatment effect models
Instrumental Variables
Difference-in-Differences
Regression Discontinuity
Propensity Score Matching
Margins
Counterfactuals
Murtaza Haider/MG9103 (January 2025)/Econometric Tools and Techniques