diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 1974c98a1d1ff..bdf834ac50d03 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -146,7 +146,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.errors.OutOfBoundsTimedelta SA01" \
         -i "pandas.errors.PerformanceWarning SA01" \
         -i "pandas.errors.PossibleDataLossError SA01" \
-        -i "pandas.errors.PossiblePrecisionLoss SA01" \
         -i "pandas.errors.UndefinedVariableError PR01,SA01" \
         -i "pandas.errors.UnsortedIndexError SA01" \
         -i "pandas.errors.UnsupportedFunctionCall SA01" \
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index efc032b0b559e..b6df34e33ecce 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -691,6 +691,10 @@ class PossiblePrecisionLoss(Warning):
     When the column value is outside or equal to the int64 value the column is
     converted to a float64 dtype.
 
+    See Also
+    --------
+    DataFrame.to_stata : Export DataFrame object to Stata dta format.
+
     Examples
     --------
     >>> df = pd.DataFrame({"s": pd.Series([1, 2**53], dtype=np.int64)})