API-208: Stata Review Session Daniel Yew Mao Lim Harvard University Spring 2013.
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Transcript of API-208: Stata Review Session Daniel Yew Mao Lim Harvard University Spring 2013.
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API-208: Stata Review Session
Daniel Yew Mao LimHarvard University
Spring 2013
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Roadmap
Importing Data
Data analysisData management
ProgrammingGetting Started
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Getting Started: Orientation
COMMAND WINDOW: commands typed here
VARIABLES WINDOW: variable list shown here
RESULTS WINDOW: results and commands displayed here
REVIEW WINDOW: past commands appear here
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Getting Started: Syntax
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Getting Started: Syntax Example
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Getting Started: Syntax Example
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Getting Started: Useful Commands I
if
in
by
sum
help
ssc install
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Getting Started: Useful Commands II
Arithmetic Operators
• “+” addition• “-” subtraction• “*” multiplication• “/” division• “^” power
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Getting Started: Useful Commands III
Relational Operators
• “>” Greater than• “<” Less than• “>=” Equal or greater than• “<=” Equal or less than• “==” Equal to• “~=” Not equal to• “!=” Not equal to
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Getting Started: Useful Commands IV
Logical (Boolean) Operators
• “&” = and– Example: A & B
• “|” = or– Example: A | B
A
A B
B
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Getting Started: Example
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Getting Started: Worked Example
Average share of ADB loans during first and second years on UNSCBetween 1985 and 2004
Average share of ADB loans during first and second years on UNSCBetween 1985 and 2004, for each country
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Getting Started: Creating Do-files
Text file containing all commands relevant to analysis
Useful for batch processing
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Getting Started: Creating Do-files
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Getting Started: Commenting in Do-files
* Ignore stuff written on this line
/* Text Here*/ Ignore stuff written in between
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Getting Started: Commenting in Do-files
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Importing Data: Data Types
Stata Data .xls .csv
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Data Management: Data Structure
Cross-sectional Time-series Panel
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Data Management: Datasets
• merge: add variables across datasets.• append: add observations across datasets.• reshape: convert data from wide/long or
long/wide• rename: change the name of a variable.• drop: eliminate variables or observations.• keep: keep variables or observations.• sort: arrange into ascending order.
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Data Management: Missing Data
Recode List-wise deletion
Multiple Imputation
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Data Management: Outliers
Impossible values
Extreme values
Logarithmic function
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Data Management: Modifying Data
generate: create new variable.replace: replace old values.recode: change values by conditions.label define: defines value labels (or
“dictionary”).label values: attaches value labels (or
“dictionary”) to a variable.
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Data Analysis: Exploring Data
• summarize: descriptive statistics.• codebook: display contents of variables.• describe: display properties of variables.• count: counts cases.• list: show values.
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Data Analysis: Analyzing Data
• tabstat: tables with statistics.• tabulate: one- or two-way frequency tables
(related: tab1 and tab2).• table: calculates and displays tables of
statistics.
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Data Analysis: Worked Example
Exercise 1: Create an aidsize variable with three categories based on the amount of ADB loans received (adbconstant): small (0 to 99), medium (100 to 999), and large (1000 or more). Include labels.
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Data Analysis: MLE
• regress: standard OLS.• Probit/logit: binary dependent variable.• oprobit: ordered probit regression.• ologit: ordered logistic regression.• xtreg: fixed, between, and random effects, and
population averaged linear models.• xtregar: fixed and random effects models with
AR(1) disturbance.
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Data Analysis: Matching
• psmatch2: propensity score matching.• cem: coarsened exact matching.
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Data Analysis: Interpreting Coefficients
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Programming
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Conclusion
Pattern recognition Self-learning Programming
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Q&A
Thank you!