Use demographics.py from OG-Core

PSL_catalog.json

@@ -0,0 +1,29 @@
+{
+    "name": "OG-ZAF",
+    "img": "https://github.com/EAPD-DRB/OG-ZAF/blob/main/docs/OG-ZAF_logo.png?raw=true",
+    "banner_title": "OG-ZAF",
+    "banner_subtitle": "An overlapping-generations macroeconomic model for evaluating fiscal policy in South Africa",
+    "detailed_description": "OG-ZAF is an overlapping-generations (OG) model that allows for dynamic general equilibrium analysis of fiscal policy for South Africa. OG-ZAF is built on the OG-Core framework. The model output includes changes in macroeconomic aggregates (GDP, investment, consumption), wages, interest rates, and the stream of tax revenues over time. Regularly updated documentation of the model theory--its output, and solution method--and the Python API is available at https://pslmodels.github.io/OG-Core and documentation of the specific South African calibration of the model will be available soon.",
+    "policy_area": "Fiscal policy, Macroeconomics, Demographics",
+    "geography": "South Africa",
+    "language": "Python",
+    "maintainers": [
+        {
+            "name": "Richard W. Evans",
+            "image": "https://github.com/rickecon.png",
+            "link": "https://github.com/rickecon"
+        },
+        {
+            "name": "Marcel LaFleur",
+            "image": "https://avatars.githubusercontent.com/u/231228?v=4",
+            "link": "https://github.com/SeaCelo"
+        },
+    ],
+    "links": {
+      "code_repository": "https://github.com/EAPD-DRB/OG-ZAF",
+      "user_documentation": "https://eapd-drb.github.io/OG-ZAF/content/intro/intro.html",
+      "contributor_documentation": "https://eapd-drb.github.io/OG-ZAF/content/contributing/contributor_guide.html",
+      "webapp": "",
+      "recent_changes": "https://github.com/EAPD-DRB/OG-ZAF/blob/main/CHANGELOG.md"
+    }
+}

ogzaf/calibrate.py

@@ -1,10 +1,8 @@
-from ogzaf import demographics
-from ogzaf import macro_params
-from ogzaf import income
+from ogzaf import macro_params, income
 from ogzaf import input_output as io
 import os
 import numpy as np
-from ogcore import txfunc
+from ogcore import txfunc, demographics
 from ogcore.utils import safe_read_pickle, mkdirs
 import pkg_resources
 
@@ -71,10 +69,26 @@ def __init__(
 
         # demographics
         self.demographic_params = demographics.get_pop_objs(
-            p.E, p.S, p.T, p.start_year
+            p.E,
+            p.S,
+            p.T,
+            0,
+            99,
+            country_id="710",  # UN code for ZAF
+            initial_data_year=p.start_year - 1,
+            final_data_year=p.start_year,
         )
         # demographics for 80 period lives (needed for getting e below)
-        demog80 = demographics.get_pop_objs(20, 80, p.T, p.start_year)
+        demog80 = demographics.get_pop_objs(
+            20,
+            80,
+            p.T,
+            0,
+            99,
+            country_id="710",  # UN code for ZAF
+            initial_data_year=p.start_year - 1,
+            final_data_year=p.start_year,
+        )
 
         # earnings profiles
         self.e = income.get_e_interp(