diff --git a/examples/run_og_usa.py b/examples/run_og_usa.py
index 1f0e501d..ee70f2e8 100644
--- a/examples/run_og_usa.py
+++ b/examples/run_og_usa.py
@@ -3,6 +3,8 @@
 import os
 import json
 import time
+import importlib.resources
+import copy
 from taxcalc import Calculator
 import matplotlib.pyplot as plt
 from ogusa.calibrate import Calibration
@@ -28,8 +30,9 @@ def main():
 
     # Directories to save data
     CUR_DIR = os.path.dirname(os.path.realpath(__file__))
-    base_dir = os.path.join(CUR_DIR, "OG-USA-Example", "OUTPUT_BASELINE")
-    reform_dir = os.path.join(CUR_DIR, "OG-USA-Example", "OUTPUT_REFORM")
+    save_dir = os.path.join(CUR_DIR, "OG-USA-Example")
+    base_dir = os.path.join(save_dir, "OUTPUT_BASELINE")
+    reform_dir = os.path.join(save_dir, "OUTPUT_REFORM")
 
     """
     ------------------------------------------------------------------------
@@ -44,22 +47,13 @@ def main():
         output_base=base_dir,
     )
     # Update parameters for baseline from default json file
-    p.update_specifications(
-        json.load(
-            open(
-                os.path.join(
-                    CUR_DIR, "..", "ogusa", "ogusa_default_parameters.json"
-                )
-            )
-        )
-    )
-    p.tax_func_type = "GS"
-    p.age_specific = False
+    with importlib.resources.open_text(
+        "ogusa", "ogusa_default_parameters.json"
+    ) as file:
+        defaults = json.load(file)
+    p.update_specifications(defaults)
+    p.tax_func_type = "HSV"
     c = Calibration(p, estimate_tax_functions=True, client=client)
-    # close and delete client bc cache is too large
-    client.close()
-    del client
-    client = Client(n_workers=num_workers, threads_per_worker=1)
     d = c.get_dict()
     # # additional parameters to change
     updated_params = {
@@ -84,43 +78,23 @@ def main():
     # In this example the 'reform' is a change to 2017 law (the
     # baseline policy is tax law in 2018)
     reform_url = (
-        "github://PSLmodels:examples@main/psl_examples/"
-        + "taxcalc/2017_law.json"
+        "github://PSLmodels:Tax-Calculator@master/taxcalc/"
+        + "reforms/2017_law.json"
     )
+
     ref = Calculator.read_json_param_objects(reform_url, None)
     iit_reform = ref["policy"]
 
     # create new Specifications object for reform simulation
-    p2 = Specifications(
-        baseline=False,
-        num_workers=num_workers,
-        baseline_dir=base_dir,
-        output_base=reform_dir,
-    )
-    # Update parameters for baseline from default json file
-    p2.update_specifications(
-        json.load(
-            open(
-                os.path.join(
-                    CUR_DIR, "..", "ogusa", "ogusa_default_parameters.json"
-                )
-            )
-        )
-    )
-    p2.tax_func_type = "GS"
-    p2.age_specific = False
+    p2 = copy.deepcopy(p)
     # Use calibration class to estimate reform tax functions from
     # Tax-Calculator, specifying reform for Tax-Calculator in iit_reform
     c2 = Calibration(
         p2, iit_reform=iit_reform, estimate_tax_functions=True, client=client
     )
-    # close and delete client bc cache is too large
-    client.close()
-    del client
-    client = Client(n_workers=num_workers, threads_per_worker=1)
     # update tax function parameters in Specifications Object
     d = c2.get_dict()
-    # # additional parameters to change
+    # additional parameters to change
     updated_params = {
         "cit_rate": [[0.35]],
         "etr_params": d["etr_params"],
@@ -164,7 +138,7 @@ def main():
     op.plot_all(
         base_dir,
         reform_dir,
-        os.path.join(CUR_DIR, "OG-USA_example_plots_tables"),
+        os.path.join(save_dir, "OG-USA_example_plots_tables"),
     )
     # Create CSV file with output
     ot.tp_output_dump_table(
@@ -174,7 +148,7 @@ def main():
         reform_tpi,
         table_format="csv",
         path=os.path.join(
-            CUR_DIR,
+            save_dir,
             "OG-USA_example_plots_tables",
             "macro_time_series_output.csv",
         ),
@@ -184,7 +158,7 @@ def main():
     # save percentage change output to csv file
     ans.to_csv(
         os.path.join(
-            CUR_DIR, "OG-USA_example_plots_tables", "ogusa_example_output.csv"
+            save_dir, "OG-USA_example_plots_tables", "ogusa_example_output.csv"
         )
     )