4.4.2. Linking data in Stata
Example 1:
Merging micro and macro data files in Stata
How to merge two files microdata.dta and
macrodata.dta, both including the macrounit identifier but with no other variable in common.
4.4.3 Linking data in SPSS
Example 2: SPSS syntax
How to merge
two
files microdata.dta and macrodata.dta, both including the macrounit identifier but with no other
variable in common.
4.5.2 Producing weights to equalize the size of each macro unit
Example 3: produce a weight
variable
How to produce a weight variable that you can use for analysis where you want
each
macro unit to contribute equally.
4.5.3 Producing weights to respect to population as a whole
Example
4: producing a weight variable that you can use for analysis where you want to make inferences
about
the population
How to produce a weight variable for micro units within a given macro
unit
are weighted according to the true population for that macro unit.
4.6.2.2. Adjusting weights to account for survey error on one variable separately for each macro unit
Example 5: Creating a
suitable
weight
4.7.1. Starting simple: separate analyses for each macro unit
Example 6: Separate
analyses for each macro unit
4.7.2 Regression analysis with both micro and macro variables
Example
8: Regression analysis with both micro and macro variables
Testing whether there is a
statistically significant effect of a particular macro level variable on a particular micro level
outcome.
4.7.3 Regression analysis to test cross-level interactions
Example
9: Regression analysis to test cross-level interactions
