We often get students asking questions about when and how much to round the numbers that Stata produces. It's worth considering this carefully. Here are some rules of thumb to consider:
1) Unless there's a good reason not to, round to 2 "significant" digits (or "sig figs", as they are often referred to; e.g., 36543 could be rounded to 37000; .0033422 could be rounded to .0033, etc). It's much easier for the human brain to absorb and compare numbers with only 2 digits.
2) Sometimes there IS a good reason to use more the 2 sig figs. For example, when your estimate is very precise and you are providing a confidence interval that is very tight, it might be useful to reflect this. Here's an example:
Regression coefficient (Lower 95%CI - Upper 95%CI)
From Stata: 1.032134 (1.0294765 - 1.033435)
Options for how to present:
1) 1.0 (1.0 - 1.0)
2) 1.03 (1.03 - 1.03)
3) 1.032 (1.029 - 1.033)
4) 1.0321 (1.0295 - 1.0334)
5) 1.03213 (1.02948 - 1.03344)
Options 1 and 2 really don't show any "space" between the two sides of the confidence interval, and don't effectively communicate the precision of your estimate. Option 3 is probably a better bet, which minimizes the number of digits while still communicating the degree of precision. If you are presenting only the point estimate (1.032), it's a good idea to use the same rule of thumb, though rounding even further is also reasonable if 1.03 is, for all intents and purposes, the same as 1.0 in interpretation.