diff --git a/src/macros/@variable.jl b/src/macros/@variable.jl
index 72d9ba0cccb..befbd97daa3 100644
--- a/src/macros/@variable.jl
+++ b/src/macros/@variable.jl
@@ -206,7 +206,7 @@ macro variable(input_args...)
                 "constrained to `$set`.",
             )
         end
-        set = set_kw
+        set = esc(set_kw)
     end
     # ; set_string_name
     name_expr = Containers.build_name_expr(name, index_vars, kwargs)
diff --git a/test/test_macros.jl b/test/test_macros.jl
index fbb2baf69d5..5183deb4bc6 100644
--- a/test/test_macros.jl
+++ b/test/test_macros.jl
@@ -898,15 +898,16 @@ end
 
 function test_unrecognized_variable_type()
     model = Model()
+    a = 1
     err = ErrorException(
-        "In `@variable(model, x, 2, variable_type = 1)`: " *
+        "In `@variable(model, x, 2, variable_type = a)`: " *
         "Unrecognized positional arguments: (2, 1). (You may have " *
         "passed it as a positional argument, or as a keyword value to " *
         "`variable_type`.)\n\nIf you're trying to create a JuMP " *
         "extension, you need to implement `build_variable`. Read the " *
         "docstring for more details.",
     )
-    @test_throws_runtime err @variable(model, x, 2, variable_type = 1)
+    @test_throws_runtime err @variable(model, x, 2, variable_type = a)
     return
 end
 
@@ -2210,6 +2211,14 @@ function test_base_name_escape()
     return
 end
 
+function test_container_escape()
+    model = Model()
+    a = Containers.DenseAxisArray
+    x = @variable(model, [1:2], container = a)
+    @test x isa Containers.DenseAxisArray{VariableRef}
+    return
+end
+
 function test_constraint_broadcast_in_set()
     model = Model()
     @variable(model, x[1:2])
@@ -2234,4 +2243,15 @@ function test_macro_modify_user_data()
     return
 end
 
+function test_escaping_of_set_kwarg()
+    model = Model()
+    bound = 5.0
+    x = @variable(model, set = MOI.GreaterThan(bound))
+    @test lower_bound(x) == bound
+    set = MOI.LessThan(1.0)
+    y = @variable(model, set = set)
+    @test upper_bound(y) == 1.0
+    return
+end
+
 end  # module