**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