diff --git a/merlin/core/dispatch.py b/merlin/core/dispatch.py
index ef0811f5a..dd1af7851 100644
--- a/merlin/core/dispatch.py
+++ b/merlin/core/dispatch.py
@@ -84,8 +84,16 @@ def inner2(*args, **kwargs):
 # Define mapping between non-nullable,
 # and nullable types in Pandas
 _PD_NULLABLE_MAP = {
+    "float32": "Float32",
+    "float64": "Float64",
+    "int8": "Int8",
+    "int16": "Int16",
     "int32": "Int32",
     "int64": "Int64",
+    "uint8": "UInt8",
+    "uint16": "UInt16",
+    "uint32": "UInt32",
+    "uint64": "UInt64",
 }
 
 
diff --git a/tests/unit/core/test_dispatch.py b/tests/unit/core/test_dispatch.py
index 2928ed457..45a9d9d23 100644
--- a/tests/unit/core/test_dispatch.py
+++ b/tests/unit/core/test_dispatch.py
@@ -19,7 +19,13 @@
 
 from merlin.core.compat import HAS_GPU
 from merlin.core.compat import cupy as cp
-from merlin.core.dispatch import concat_columns, is_list_dtype, list_val_dtype, make_df
+from merlin.core.dispatch import (
+    concat_columns,
+    is_list_dtype,
+    list_val_dtype,
+    make_df,
+    nullable_series,
+)
 
 if HAS_GPU:
     _DEVICES = ["cpu", "gpu"]
@@ -59,3 +65,23 @@ def test_pandas_cupy_combo():
     pd_df = pd.DataFrame(rand_cp_nd_arr.get())[0]
     mk_df = make_df(rand_cp_nd_arr)[0]
     assert all(pd_df.to_numpy() == mk_df.to_numpy())
+
+
+@pytest.mark.parametrize(
+    ["data", "dtype", "expected_series"],
+    [
+        [[None], np.dtype("int8"), pd.Series([pd.NA], dtype="Int8")],
+        [[None], np.dtype("int16"), pd.Series([pd.NA], dtype="Int16")],
+        [[None], np.dtype("int32"), pd.Series([pd.NA], dtype="Int32")],
+        [[None], np.dtype("int64"), pd.Series([pd.NA], dtype="Int64")],
+        [[None], np.dtype("uint8"), pd.Series([pd.NA], dtype="UInt8")],
+        [[None], np.dtype("uint16"), pd.Series([pd.NA], dtype="UInt16")],
+        [[None], np.dtype("uint32"), pd.Series([pd.NA], dtype="UInt32")],
+        [[None], np.dtype("uint64"), pd.Series([pd.NA], dtype="UInt64")],
+        [[None], np.dtype("float32"), pd.Series([pd.NA], dtype="Float32")],
+        [[None], np.dtype("float64"), pd.Series([pd.NA], dtype="Float64")],
+    ],
+)
+def test_nullable_series(data, dtype, expected_series):
+    series = nullable_series(data, pd.DataFrame(), dtype)
+    pd.testing.assert_series_equal(series, expected_series)