diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index b11a66c7efee9f..493cb917f88648 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -1959,7 +1959,7 @@ def to_stata(
             # mypy: Name 'statawriter' already defined (possibly by an import)
             from pandas.io.stata import StataWriterUTF8 as statawriter  # type:ignore
 
-        kwargs: Dict[str, Any]  = {}
+        kwargs: Dict[str, Any] = {}
         if version is None or version >= 117:
             # strl conversion is only supported >= 117
             kwargs["convert_strl"] = convert_strl
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
index cb446b0af031c3..43af5eab92d74d 100644
--- a/pandas/io/stata.py
+++ b/pandas/io/stata.py
@@ -12,22 +12,11 @@
 from collections import abc
 import datetime
 from io import BytesIO, IOBase
-from pathlib import Path
 import os
+from pathlib import Path
 import struct
 import sys
-from typing import (
-    Any,
-    AnyStr,
-    BinaryIO,
-    Dict,
-    IO,
-    List,
-    Optional,
-    Sequence,
-    Tuple,
-    Union,
-)
+from typing import Any, AnyStr, BinaryIO, Dict, List, Optional, Sequence, Tuple, Union
 import warnings
 
 from dateutil.relativedelta import relativedelta
@@ -762,7 +751,7 @@ class StataMissingValue:
         "float64": struct.unpack("<d", float64_base)[0],
     }
 
-    def __init__(self, value: float):
+    def __init__(self, value: Union[int, float]):
         self._value = value
         # Conversion to int to avoid hash issues on 32 bit platforms #8968
         value = int(value) if value < 2147483648 else float(value)
@@ -781,7 +770,7 @@ def string(self) -> str:
         return self._str
 
     @property
-    def value(self) -> float:
+    def value(self) -> Union[int, float]:
         """
         The binary representation of the missing value.
 
@@ -806,7 +795,7 @@ def __eq__(self, other: Any) -> bool:
         )
 
     @classmethod
-    def get_base_missing_value(cls, dtype: np.dtype) -> float:
+    def get_base_missing_value(cls, dtype: np.dtype) -> Union[int, float]:
         if dtype == np.int8:
             value = cls.BASE_MISSING_VALUES["int8"]
         elif dtype == np.int16: