diff --git a/pandas/tests/arrays/period/test_arrow_compat.py b/pandas/tests/arrays/period/test_arrow_compat.py
index bb41b564f6db0..6441b188a69c5 100644
--- a/pandas/tests/arrays/period/test_arrow_compat.py
+++ b/pandas/tests/arrays/period/test_arrow_compat.py
@@ -11,6 +11,11 @@
     period_array,
 )
 
+pytestmark = pytest.mark.filterwarnings(
+    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
+)
+
+
 pa = pytest.importorskip("pyarrow")
 
 
@@ -81,16 +86,12 @@ def test_arrow_table_roundtrip():
 
     table = pa.table(df)
     assert isinstance(table.field("a").type, ArrowPeriodType)
-    msg = "Passing a BlockManager to DataFrame is deprecated"
-    with tm.assert_produces_warning(DeprecationWarning, match=msg):
-        result = table.to_pandas()
+    result = table.to_pandas()
     assert isinstance(result["a"].dtype, PeriodDtype)
     tm.assert_frame_equal(result, df)
 
     table2 = pa.concat_tables([table, table])
-    msg = "Passing a BlockManager to DataFrame is deprecated"
-    with tm.assert_produces_warning(DeprecationWarning, match=msg):
-        result = table2.to_pandas()
+    result = table2.to_pandas()
     expected = pd.concat([df, df], ignore_index=True)
     tm.assert_frame_equal(result, expected)
 
@@ -109,9 +110,7 @@ def test_arrow_load_from_zero_chunks():
         [pa.chunked_array([], type=table.column(0).type)], schema=table.schema
     )
 
-    msg = "Passing a BlockManager to DataFrame is deprecated"
-    with tm.assert_produces_warning(DeprecationWarning, match=msg):
-        result = table.to_pandas()
+    result = table.to_pandas()
     assert isinstance(result["a"].dtype, PeriodDtype)
     tm.assert_frame_equal(result, df)
 
@@ -126,8 +125,6 @@ def test_arrow_table_roundtrip_without_metadata():
     table = table.replace_schema_metadata()
     assert table.schema.metadata is None
 
-    msg = "Passing a BlockManager to DataFrame is deprecated"
-    with tm.assert_produces_warning(DeprecationWarning, match=msg):
-        result = table.to_pandas()
+    result = table.to_pandas()
     assert isinstance(result["a"].dtype, PeriodDtype)
     tm.assert_frame_equal(result, df)
diff --git a/pandas/tests/io/parser/test_parse_dates.py b/pandas/tests/io/parser/test_parse_dates.py
index 1e8f4ed3a3b16..565626e35dc60 100644
--- a/pandas/tests/io/parser/test_parse_dates.py
+++ b/pandas/tests/io/parser/test_parse_dates.py
@@ -2230,14 +2230,9 @@ def test_parse_dates_dict_format_two_columns(all_parsers, key, parse_dates):
 31-,12-2019
 31-,12-2020"""
 
-    warn = None
-    if parser.engine == "pyarrow":
-        warn = DeprecationWarning
-    msg = "Passing a BlockManager to DataFrame is deprecated"
-    with tm.assert_produces_warning(warn, match=msg, check_stacklevel=False):
-        result = parser.read_csv(
-            StringIO(data), date_format={key: "%d- %m-%Y"}, parse_dates=parse_dates
-        )
+    result = parser.read_csv(
+        StringIO(data), date_format={key: "%d- %m-%Y"}, parse_dates=parse_dates
+    )
     expected = DataFrame(
         {
             key: [Timestamp("2019-12-31"), Timestamp("2020-12-31")],