From 63b272ce75f87c05dcc393a5e76557bafe040586 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Fri, 2 Aug 2024 16:10:01 -0400 Subject: [PATCH 01/15] clean up to run scripts --- examples/run_og_zaf.py | 31 ++++++------------------ examples/run_og_zaf_multiple_industry.py | 28 ++++++++++++--------- 2 files changed, 23 insertions(+), 36 deletions(-) diff --git a/examples/run_og_zaf.py b/examples/run_og_zaf.py index c9bc150..482216b 100644 --- a/examples/run_og_zaf.py +++ b/examples/run_og_zaf.py @@ -15,11 +15,7 @@ from ogcore.utils import safe_read_pickle, param_dump_json # Use a custom matplotlib style file for plots -style_file_url = ( - "https://raw.githubusercontent.com/PSLmodels/OG-Core/" - + "master/ogcore/OGcorePlots.mplstyle" -) -plt.style.use(style_file_url) +plt.style.use("ogcore.OGcorePlots") def main(): @@ -30,8 +26,9 @@ def main(): # Directories to save data CUR_DIR = os.path.dirname(os.path.realpath(__file__)) - base_dir = os.path.join(CUR_DIR, "OG-ZAF-Example", "OUTPUT_BASELINE") - reform_dir = os.path.join(CUR_DIR, "OG-ZAF-Example", "OUTPUT_REFORM") + save_dir = os.path.join(CUR_DIR, "OG-ZAF-Example") + base_dir = os.path.join(save_dir, "OUTPUT_BASELINE") + reform_dir = os.path.join(save_dir, "OUTPUT_REFORM") """ --------------------------------------------------------------------------- @@ -58,21 +55,7 @@ def main(): # Update parameters from calibrate.py Calibration class c = Calibration(p) updated_params = c.get_dict() - p.tax_func_type = "linear" - p.age_specific = False p.update_specifications(updated_params) - # set underlying growth rate to zero, as value from data is negative - p.g_y = 0.0 - # set tax rates - p.update_specifications( - { - "cit_rate": [[0.27]], - "etr_params": [[[0.22]]], - "mtrx_params": [[[0.31]]], - "mtry_params": [[[0.25]]], - "tau_c": [[0.15]], - } - ) # Run model start_time = time.time() @@ -90,7 +73,7 @@ def main(): p2.baseline = False p2.output_base = reform_dir - # additional parameters to change + # Parameter change for the reform run updated_params_ref = { "cit_rate": [[0.30]], } @@ -128,12 +111,12 @@ def main(): # create plots of output op.plot_all( - base_dir, reform_dir, os.path.join(CUR_DIR, "OG-ZAF_example_plots") + base_dir, reform_dir, os.path.join(save_dir, "OG-ZAF_example_plots") ) print("Percentage changes in aggregates:", ans) # save percentage change output to csv file - ans.to_csv("ogzaf_example_output.csv") + ans.to_csv(os.path.join(save_dir, "OG-ZAF_example_output.csv")) if __name__ == "__main__": diff --git a/examples/run_og_zaf_multiple_industry.py b/examples/run_og_zaf_multiple_industry.py index e769736..fba380f 100644 --- a/examples/run_og_zaf_multiple_industry.py +++ b/examples/run_og_zaf_multiple_industry.py @@ -6,9 +6,7 @@ import json import time import copy -import numpy as np - -# from taxcalc import Calculator +import matplotlib.pyplot as plt from ogzaf.calibrate import Calibration from ogcore.parameters import Specifications from ogcore import output_tables as ot @@ -16,17 +14,21 @@ from ogcore.execute import runner from ogcore.utils import safe_read_pickle, param_dump_json +# Use a custom matplotlib style file for plots +plt.style.use("ogcore.OGcorePlots") + def main(): # Define parameters to use for multiprocessing - client = Client() num_workers = min(multiprocessing.cpu_count(), 7) + client = Client(n_workers=num_workers, threads_per_worker=1) print("Number of workers = ", num_workers) # Directories to save data CUR_DIR = os.path.dirname(os.path.realpath(__file__)) - base_dir = os.path.join(CUR_DIR, "OG-ZAF-CIT_Example", "OUTPUT_BASELINE") - reform_dir = os.path.join(CUR_DIR, "OG-ZAF-CIT_Example", "OUTPUT_REFORM") + save_dir = os.path.join(CUR_DIR, "OG-ZAF-MultipleIndustry-example") + base_dir = os.path.join(save_dir, "OUTPUT_BASELINE") + reform_dir = os.path.join(save_dir, "OUTPUT_REFORM") """ --------------------------------------------------------------------------- @@ -84,12 +86,14 @@ def main(): p2.baseline = False p2.output_base = reform_dir - # additional parameters to change + # Example reform is a corp tax rate cut (phased in) for all + # industries EXCEPT for secondary ex energy, which has a one point + # increae in the CIT rate updated_params_ref = { "cit_rate": [ - [0.28, 0.28, 0.28, 0.28], - [0.28, 0.28, 0.28, 0.28], - [0.27, 0.27, 0.27, 0.27], + [0.27, 0.27, 0.27, 0.28], + [0.26, 0.26, 0.26, 0.28], + [0.25, 0.25, 0.25, 0.28], ], "baseline_spending": True, } @@ -129,12 +133,12 @@ def main(): op.plot_all( base_dir, reform_dir, - os.path.join(CUR_DIR, "OG-ZAF_CIT_multi_industry_plots"), + os.path.join(save_dir, "OG-ZAF-MultipleIndustry-example_plots"), ) print("Percentage changes in aggregates:", ans) # save percentage change output to csv file - ans.to_csv("ogzaf_CIT_multi_industry_output.csv") + ans.to_csv(os.path.join(save_dir, "OG-ZAF-MultipleIndustry-example_output.csv")) if __name__ == "__main__": From ab4cb25497d44c1ce3213bfc6b8209ccfec1a503 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Fri, 2 Aug 2024 16:28:44 -0400 Subject: [PATCH 02/15] pass start and end date into macro_params --- ogzaf/macro_params.py | 32 ++++++++++++++++++-------------- 1 file changed, 18 insertions(+), 14 deletions(-) diff --git a/ogzaf/macro_params.py b/ogzaf/macro_params.py index 7743361..f401526 100644 --- a/ogzaf/macro_params.py +++ b/ogzaf/macro_params.py @@ -14,20 +14,24 @@ from io import StringIO -def get_macro_params(): +def get_macro_params( + data_start_date=datetime.datetime(1947, 1, 1), + data_end_date=datetime.date.today()): """ Compute values of parameters that are derived from macro data + + Args: + data_start_date (datetime): start date for data + data_end_date (datetime): end date for data + + Returns: + macro_parameters (dict): dictionary of parameter values """ # set beginning and end dates for data # format is year (1940),month (1),day (1) country_iso = "ZAF" - start = datetime.datetime(1947, 1, 1) - end = datetime.date.today() # go through today - baseline_date = datetime.datetime(2019, 3, 31) - baseline_yearquarter = ( - "2024Q1" # The WB QPSD database has the date in YYYYQQ format - ) + baseline_YYYYQ = data_end_date.strftime("%YQ%q") """ This retrieves annual data from the World Bank World Development Indicators. @@ -47,7 +51,7 @@ def get_macro_params(): # wb_data_a = wb.download( # indicator=wb_a_variable_dict.values(), # country=country_iso, - # start=start, + # start=data_start_date, # end=end, # ) # wb_data_a.rename( @@ -70,7 +74,7 @@ def get_macro_params(): # wb_data_q = wb.download( # indicator=wb_q_variable_dict.values(), # country=country_iso, - # start=start, + # start=data_start_date, # end=end, # ) # wb_data_q.rename( @@ -93,9 +97,9 @@ def get_macro_params(): + "&ref_area=" + str(country_iso) + "&timefrom=" - + str(start.year) + + str(data_start_date.year) + "&timeto=" - + str(end.year) + + str(data_end_date.year) + "&type=both&format=.csv" ) @@ -117,7 +121,7 @@ def get_macro_params(): # find initial_debt_ratio # macro_parameters["initial_debt_ratio"] = ( # pd.Series(wb_data_q["Gross PSD Gen Gov - percentage of GDP"]).loc[ - # baseline_yearquarter + # baseline_YYYYQ # ] # ) / 100 @@ -128,7 +132,7 @@ def get_macro_params(): # wb_data_q["Gross PSD USD - domestic creditors"] # + wb_data_q["Gross PSD USD - external creditors"] # ) - # ).loc[baseline_yearquarter] + # ).loc[baseline_YYYYQ] # find zeta_D (Share of new debt issues from government that are purchased by foreigners) # macro_parameters["zeta_D"] = [ @@ -138,7 +142,7 @@ def get_macro_params(): # wb_data_q["Gross PSD USD - domestic creditors"] # + wb_data_q["Gross PSD USD - external creditors"] # ) - # ).loc[baseline_yearquarter] + # ).loc[baseline_YYYYQ] # ] # alpha_T, non-social security benefits as a fraction of GDP From 93724cf8c67558d52fe4f7badf8aa3815e337414 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Fri, 2 Aug 2024 16:52:56 -0400 Subject: [PATCH 03/15] try/except for wb api --- ogzaf/macro_params.py | 193 ++++++++++++++++++++---------------------- 1 file changed, 92 insertions(+), 101 deletions(-) diff --git a/ogzaf/macro_params.py b/ogzaf/macro_params.py index f401526..22a349e 100644 --- a/ogzaf/macro_params.py +++ b/ogzaf/macro_params.py @@ -16,81 +16,107 @@ def get_macro_params( data_start_date=datetime.datetime(1947, 1, 1), - data_end_date=datetime.date.today()): + data_end_date=datetime.date.today(), + country_iso="ZAF" + ): """ Compute values of parameters that are derived from macro data Args: data_start_date (datetime): start date for data data_end_date (datetime): end date for data + country_iso (str): ISO code for country Returns: macro_parameters (dict): dictionary of parameter values """ - - # set beginning and end dates for data - # format is year (1940),month (1),day (1) - country_iso = "ZAF" + # initialize a dictionary of parameters + macro_parameters = {} + # baseline date formatted for World Bank data baseline_YYYYQ = data_end_date.strftime("%YQ%q") """ - This retrieves annual data from the World Bank World Development Indicators. + Retrieve data from the World Bank World Development Indicators. """ - + # Dictionaries of variables and their corresponding World Bank codes + # Annual data wb_a_variable_dict = { "GDP per capita (constant 2015 US$)": "NY.GDP.PCAP.KD", "Real GDP (constant 2015 US$)": "NY.GDP.MKTP.KD", "Nominal GDP (current US$)": "NY.GDP.MKTP.CD", "General government final consumption expenditure (current US$)": "NE.CON.GOVT.CD", - # "General government debt (percentage of GDP)": "GC.DOD.TOTL.GD.ZS", - # "GDP per capita (current US$)": "NY.GDP.PCAP.CD", - # "GDP per person employed (constant 2017 PPP$)": "SL.GDP.PCAP.EM.KD", + } + # Quarterly data + wb_q_variable_dict = { + "Gross PSD USD - domestic creditors": "DP.DOD.DECD.CR.PS.CD", + "Gross PSD USD - external creditors": "DP.DOD.DECX.CR.PS.CD", + "Gross PSD Gen Gov - percentage of GDP": "DP.DOD.DECT.CR.GG.Z1", } - # pull series of interest using pandas_datareader - # wb_data_a = wb.download( - # indicator=wb_a_variable_dict.values(), - # country=country_iso, - # start=data_start_date, - # end=end, - # ) - # wb_data_a.rename( - # columns=dict((y, x) for x, y in wb_a_variable_dict.items()), - # inplace=True, - # ) - - """ - This retrieves quarterly data from the World Bank Quarterly Public Sector Debt database. - The command extracts all available data even when start and end dates are specified. - """ - - # wb_q_variable_dict = { - # "Gross PSD USD - domestic creditors": "DP.DOD.DECD.CR.PS.CD", - # "Gross PSD USD - external creditors": "DP.DOD.DECX.CR.PS.CD", - # "Gross PSD Gen Gov - percentage of GDP": "DP.DOD.DECT.CR.GG.Z1", - # } - - # pull series of interest using pandas_datareader - # wb_data_q = wb.download( - # indicator=wb_q_variable_dict.values(), - # country=country_iso, - # start=data_start_date, - # end=end, - # ) - # wb_data_q.rename( - # columns=dict((y, x) for x, y in wb_q_variable_dict.items()), - # inplace=True, - # ) - - # # Remove the hierarchical index (country and year) of wb_data_q and create a single row index using year - # wb_data_q = wb_data_q.reset_index() - # wb_data_q = wb_data_q.set_index("year") + try: + # pull series of interest from the WB using pandas_datareader + # Annual data + wb_data_a = wb.download( + indicator=wb_a_variable_dict.values(), + country=country_iso, + start=data_start_date, + end=data_end_date, + ) + wb_data_a.rename( + columns=dict((y, x) for x, y in wb_a_variable_dict.items()), + inplace=True, + ) + # Quarterly data + wb_data_q = wb.download( + indicator=wb_q_variable_dict.values(), + country=country_iso, + start=data_start_date, + end=data_end_date, + ) + wb_data_q.rename( + columns=dict((y, x) for x, y in wb_q_variable_dict.items()), + inplace=True, + ) + # Remove the hierarchical index (country and year) of + # wb_data_q and create a single row index using year + wb_data_q = wb_data_q.reset_index() + wb_data_q = wb_data_q.set_index("year") + + # Compute macro parameters from WB data + macro_parameters["initial_debt_ratio"] = ( + pd.Series( + wb_data_q["Gross PSD Gen Gov - percentage of GDP"]).loc[ + baseline_YYYYQ]) / 100 + macro_parameters["initial_foreign_debt_ratio"] = pd.Series( + wb_data_q["Gross PSD USD - external creditors"] + / ( + wb_data_q["Gross PSD USD - domestic creditors"] + + wb_data_q["Gross PSD USD - external creditors"] + ) + ).loc[baseline_YYYYQ] + # zeta_D = share of new debt issues from government that are + # purchased by foreigners + macro_parameters["zeta_D"] = [ + pd.Series( + wb_data_q["Gross PSD USD - external creditors"] + / ( + wb_data_q["Gross PSD USD - domestic creditors"] + + wb_data_q["Gross PSD USD - external creditors"] + ) + ).loc[baseline_YYYYQ] + ] + macro_parameters["g_y_annual"] = ( + wb_data_a["GDP per capita (constant 2015 US$)"].pct_change(-1).mean() + ) + except: + print("Failed to retrieve data from World Bank") + print("Will not update the following parameters:") + print("[initial_debt_ratio, initial_foreign_debt_ratio, zeta_D, g_y]") """ - This retrieves labour share data from the ILOSTAT Data API + Retrieve labour share data from the United Nations ILOSTAT Data API (see https://rshiny.ilo.org/dataexplorer9/?lang=en) """ - target = ( "https://rplumber.ilo.org/data/indicator/" + "?id=LAP_2GDP_NOC_RT_A" @@ -102,7 +128,6 @@ def get_macro_params( + str(data_end_date.year) + "&type=both&format=.csv" ) - response = requests.get(target) if response.status_code == 200: csv_content = StringIO(response.text) @@ -111,68 +136,34 @@ def get_macro_params( print( f"Failed to retrieve data. HTTP status code: {response.status_code}" ) - ilo_data = df_temp[["time", "obs_value"]] - - # initialize a dictionary of parameters - macro_parameters = {} - - # print(fred_data.loc(str(baseline_date))) - # find initial_debt_ratio - # macro_parameters["initial_debt_ratio"] = ( - # pd.Series(wb_data_q["Gross PSD Gen Gov - percentage of GDP"]).loc[ - # baseline_YYYYQ - # ] - # ) / 100 - - # find initial_foreign_debt_ratio - # macro_parameters["initial_foreign_debt_ratio"] = pd.Series( - # wb_data_q["Gross PSD USD - external creditors"] - # / ( - # wb_data_q["Gross PSD USD - domestic creditors"] - # + wb_data_q["Gross PSD USD - external creditors"] - # ) - # ).loc[baseline_YYYYQ] - - # find zeta_D (Share of new debt issues from government that are purchased by foreigners) - # macro_parameters["zeta_D"] = [ - # pd.Series( - # wb_data_q["Gross PSD USD - external creditors"] - # / ( - # wb_data_q["Gross PSD USD - domestic creditors"] - # + wb_data_q["Gross PSD USD - external creditors"] - # ) - # ).loc[baseline_YYYYQ] - # ] - - # alpha_T, non-social security benefits as a fraction of GDP - # source: https://data.imf.org/?sk=b052f0f0-c166-43b6-84fa-47cccae3e219&hide_uv=1 - macro_parameters["alpha_T"] = [0.041 - 0.0] - # alpha_G, gov't consumption expenditures as a fraction of GDP - # source: https://data.imf.org/?sk=edb0cd70-0af3-40e1-a9c3-bdef83ee4d1e&hide_uv=1 - macro_parameters["alpha_G"] = [0.351 - 0.043 - 0.041] - # find gamma, capital's share of income macro_parameters["gamma"] = [ 1 - ( ( ilo_data.loc[ - ilo_data["time"] == baseline_date.year, "obs_value" + ilo_data["time"] == data_end_date.year, "obs_value" ].squeeze() ) / 100 ) ] - # find g_y - # macro_parameters["g_y_annual"] = ( - # wb_data_a["GDP per capita (constant 2015 US$)"].pct_change(-1).mean() - # ) + """ + Calibrate parameters from IMF data + """ + # alpha_T, non-social security benefits as a fraction of GDP + # source: https://data.imf.org/?sk=b052f0f0-c166-43b6-84fa-47cccae3e219&hide_uv=1 + macro_parameters["alpha_T"] = [0.041 - 0.0] + # alpha_G, gov't consumption expenditures as a fraction of GDP + # source: https://data.imf.org/?sk=edb0cd70-0af3-40e1-a9c3-bdef83ee4d1e&hide_uv=1 + macro_parameters["alpha_G"] = [0.351 - 0.043 - 0.041] """" - We want to use the non linear relationship estimated by - Li, Magud, Werner, Witte (2021), available here: + Esimate the discount on sovereign yields relative to private debt + Follow the methodology in Li, Magud, Werner, Witte (2021) + available at: https://www.imf.org/en/Publications/WP/Issues/2021/06/04/The-Long-Run-Impact-of-Sovereign-Yields-on-Corporate-Yields-in-Emerging-Markets-50224 Steps: @@ -191,13 +182,13 @@ def get_macro_params( corp_yhat, ) res = mod.fit() - # first term is the constant and needs to be divided by 100 to have + # First term is the constant and needs to be divided by 100 to have # the correct unit. Second term is the coefficient macro_parameters["r_gov_shift"] = [ (-res.params[0] / 100) - ] # constant = -0.0337662504 + ] macro_parameters["r_gov_scale"] = [ res.params[1] - ] # coefficient = 0.24484764 + ] return macro_parameters From 022cb5dd3346fbb15dd1a73316bac34b83989b3e Mon Sep 17 00:00:00 2001 From: jdebacker Date: Fri, 2 Aug 2024 16:53:16 -0400 Subject: [PATCH 04/15] format --- examples/run_og_zaf_multiple_industry.py | 4 +++- ogzaf/macro_params.py | 27 ++++++++++++------------ 2 files changed, 16 insertions(+), 15 deletions(-) diff --git a/examples/run_og_zaf_multiple_industry.py b/examples/run_og_zaf_multiple_industry.py index fba380f..d2eda84 100644 --- a/examples/run_og_zaf_multiple_industry.py +++ b/examples/run_og_zaf_multiple_industry.py @@ -138,7 +138,9 @@ def main(): print("Percentage changes in aggregates:", ans) # save percentage change output to csv file - ans.to_csv(os.path.join(save_dir, "OG-ZAF-MultipleIndustry-example_output.csv")) + ans.to_csv( + os.path.join(save_dir, "OG-ZAF-MultipleIndustry-example_output.csv") + ) if __name__ == "__main__": diff --git a/ogzaf/macro_params.py b/ogzaf/macro_params.py index 22a349e..e23ebdd 100644 --- a/ogzaf/macro_params.py +++ b/ogzaf/macro_params.py @@ -15,10 +15,10 @@ def get_macro_params( - data_start_date=datetime.datetime(1947, 1, 1), - data_end_date=datetime.date.today(), - country_iso="ZAF" - ): + data_start_date=datetime.datetime(1947, 1, 1), + data_end_date=datetime.date.today(), + country_iso="ZAF", +): """ Compute values of parameters that are derived from macro data @@ -84,9 +84,10 @@ def get_macro_params( # Compute macro parameters from WB data macro_parameters["initial_debt_ratio"] = ( - pd.Series( - wb_data_q["Gross PSD Gen Gov - percentage of GDP"]).loc[ - baseline_YYYYQ]) / 100 + pd.Series(wb_data_q["Gross PSD Gen Gov - percentage of GDP"]).loc[ + baseline_YYYYQ + ] + ) / 100 macro_parameters["initial_foreign_debt_ratio"] = pd.Series( wb_data_q["Gross PSD USD - external creditors"] / ( @@ -106,7 +107,9 @@ def get_macro_params( ).loc[baseline_YYYYQ] ] macro_parameters["g_y_annual"] = ( - wb_data_a["GDP per capita (constant 2015 US$)"].pct_change(-1).mean() + wb_data_a["GDP per capita (constant 2015 US$)"] + .pct_change(-1) + .mean() ) except: print("Failed to retrieve data from World Bank") @@ -184,11 +187,7 @@ def get_macro_params( res = mod.fit() # First term is the constant and needs to be divided by 100 to have # the correct unit. Second term is the coefficient - macro_parameters["r_gov_shift"] = [ - (-res.params[0] / 100) - ] - macro_parameters["r_gov_scale"] = [ - res.params[1] - ] + macro_parameters["r_gov_shift"] = [(-res.params[0] / 100)] + macro_parameters["r_gov_scale"] = [res.params[1]] return macro_parameters From 0aa8bfcf04927a49b23ed644292a60d04ba10351 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Fri, 2 Aug 2024 16:55:43 -0400 Subject: [PATCH 05/15] add macro param start dates, clean up --- ogzaf/calibrate.py | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/ogzaf/calibrate.py b/ogzaf/calibrate.py index 7fbfb15..b2e0770 100644 --- a/ogzaf/calibrate.py +++ b/ogzaf/calibrate.py @@ -2,6 +2,7 @@ from ogzaf import input_output as io import os import numpy as np +import datetime from ogcore import demographics @@ -11,8 +12,8 @@ class Calibration: def __init__( self, p, - estimate_tax_functions=False, - estimate_chi_n=False, + macro_data_start_year=datetime.datetime(1947, 1, 1), + macro_data_end_year=datetime.date.today(), demographic_data_path=None, output_path=None, ): @@ -21,9 +22,6 @@ def __init__( Args: p (OG-Core Specifications object): model parameters - estimate_tax_functions (bool): whether to estimate tax - function parameters - estimate_chi_n (bool): whether to estimate chi_n demographic_data_path (str): path to save demographic data output_path (str): path to save output to @@ -35,11 +33,11 @@ def __init__( if output_path is not None: if not os.path.exists(output_path): os.makedirs(output_path) - self.estimate_tax_functions = estimate_tax_functions - self.estimate_chi_n = estimate_chi_n # Macro estimation - self.macro_params = macro_params.get_macro_params() + self.macro_params = macro_params.get_macro_params( + macro_data_start_year, macro_data_end_year + ) # io matrix and alpha_c if p.I > 1: # no need if just one consumption good @@ -96,8 +94,6 @@ def __init__( # method to return all newly calibrated parameters in a dictionary def get_dict(self): dict = {} - # if self.estimate_chi_n: - # dict["chi_n"] = self.chi_n dict.update(self.macro_params) dict["e"] = self.e dict["alpha_c"] = self.alpha_c From e584633fa1e37d1649de380627c5e0244bcdf2aa Mon Sep 17 00:00:00 2001 From: jdebacker Date: Fri, 2 Aug 2024 18:13:31 -0400 Subject: [PATCH 06/15] import defaults from package not relative path --- examples/run_og_zaf.py | 17 +++++++---------- examples/run_og_zaf_multiple_industry.py | 23 +++++++++-------------- 2 files changed, 16 insertions(+), 24 deletions(-) diff --git a/examples/run_og_zaf.py b/examples/run_og_zaf.py index 482216b..14eae4d 100644 --- a/examples/run_og_zaf.py +++ b/examples/run_og_zaf.py @@ -6,13 +6,14 @@ import json import time import copy +import importlib.resources import matplotlib.pyplot as plt from ogzaf.calibrate import Calibration from ogcore.parameters import Specifications from ogcore import output_tables as ot from ogcore import output_plots as op from ogcore.execute import runner -from ogcore.utils import safe_read_pickle, param_dump_json +from ogcore.utils import safe_read_pickle # Use a custom matplotlib style file for plots plt.style.use("ogcore.OGcorePlots") @@ -43,15 +44,11 @@ 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, "..", "ogzaf", "ogzaf_default_parameters.json" - ) - ) - ) - ) + with importlib.resources.open_text( + "ogzaf", "ogzaf_default_parameters.json" + ) as file: + defaults = json.load(file) + p.update_specifications(defaults) # Update parameters from calibrate.py Calibration class c = Calibration(p) updated_params = c.get_dict() diff --git a/examples/run_og_zaf_multiple_industry.py b/examples/run_og_zaf_multiple_industry.py index d2eda84..cd82723 100644 --- a/examples/run_og_zaf_multiple_industry.py +++ b/examples/run_og_zaf_multiple_industry.py @@ -6,13 +6,14 @@ import json import time import copy +import importlib.resources import matplotlib.pyplot as plt from ogzaf.calibrate import Calibration from ogcore.parameters import Specifications from ogcore import output_tables as ot from ogcore import output_plots as op from ogcore.execute import runner -from ogcore.utils import safe_read_pickle, param_dump_json +from ogcore.utils import safe_read_pickle # Use a custom matplotlib style file for plots plt.style.use("ogcore.OGcorePlots") @@ -43,15 +44,12 @@ 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, "..", "ogzaf", "ogzaf_default_parameters.json" - ) - ) - ) - ) + with importlib.resources.open_text( + "ogzaf", "ogzaf_default_parameters.json" + ) as file: + defaults = json.load(file) + p.update_specifications(defaults) + # Update parameters from calibrate.py Calibration class p.M = 4 p.I = 5 @@ -67,12 +65,9 @@ def main(): } p.update_specifications(updated_params_tax) - # dump params to json - param_dump_json(p, os.path.join(base_dir, "model_params.json")) - # Run model start_time = time.time() - runner(p, time_path=True, client=client) + # runner(p, time_path=True, client=client) print("run time = ", time.time() - start_time) """ From ea3af0450c36e91afe0dfd97909486c655bee84f Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sat, 3 Aug 2024 08:35:41 -0400 Subject: [PATCH 07/15] add default calibration json for the multiindustry calibration --- MANIFEST.in | 1 + .../ogzaf_default_parameters_multisector.json | 101503 +++++++++++++++ 2 files changed, 101504 insertions(+) create mode 100644 ogzaf/ogzaf_default_parameters_multisector.json diff --git a/MANIFEST.in b/MANIFEST.in index c2cee7a..31a7bcf 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1 +1,2 @@ include ogzaf/ogzaf_default_parameters.json +include ogzaf/ogzaf_default_parameters_multisector.json diff --git a/ogzaf/ogzaf_default_parameters_multisector.json b/ogzaf/ogzaf_default_parameters_multisector.json new file mode 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0.12788379, + 0.13703473, + 0.14707727, + 0.1582119, + 0.17260685, + 0.18851243, + 0.20353254, + 0.21770181, + 0.23218696, + 0.24885181, + 0.26670041, + 0.28446646, + 1.0 + ] + ], + "etr_params": [ + [ + [ + 0.22 + ] + ] + ], + "mtrx_params": [ + [ + [ + 0.31 + ] + ] + ], + "mtry_params": [ + [ + [ + 0.25 + ] + ] + ], + "mean_income_data": 123809.11, + "frac_tax_payroll": [ + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0 + ] +} \ No newline at end of file From 5214301beeefa137f07214ad10dee3c72e46aae0 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sat, 3 Aug 2024 08:37:39 -0400 Subject: [PATCH 08/15] clean up multi industry run script' --- examples/run_og_zaf_multiple_industry.py | 22 +++------------------- 1 file changed, 3 insertions(+), 19 deletions(-) diff --git a/examples/run_og_zaf_multiple_industry.py b/examples/run_og_zaf_multiple_industry.py index cd82723..7a41fb0 100644 --- a/examples/run_og_zaf_multiple_industry.py +++ b/examples/run_og_zaf_multiple_industry.py @@ -8,12 +8,11 @@ import copy import importlib.resources import matplotlib.pyplot as plt -from ogzaf.calibrate import Calibration from ogcore.parameters import Specifications from ogcore import output_tables as ot from ogcore import output_plots as op from ogcore.execute import runner -from ogcore.utils import safe_read_pickle +from ogcore.utils import safe_read_pickle, param_dump_json # Use a custom matplotlib style file for plots plt.style.use("ogcore.OGcorePlots") @@ -45,29 +44,14 @@ def main(): ) # Update parameters for baseline from default json file with importlib.resources.open_text( - "ogzaf", "ogzaf_default_parameters.json" + "ogzaf", "ogzaf_default_parameters_multisector.json" ) as file: defaults = json.load(file) p.update_specifications(defaults) - # Update parameters from calibrate.py Calibration class - p.M = 4 - p.I = 5 - c = Calibration(p) - updated_params_tax = { - # order of industries is primary, energy, tertiary, secondary ex energy - "Z": [[0.5, 0.4, 1.7, 1.0]], - "epsilon": [1.0, 1.0, 1.0, 1.0], - "gamma": [0.67, 0.50, 0.45, 0.53], - "gamma_g": [0.0, 0.0, 0.0, 0.0], - "alpha_c": c.alpha_c, - "io_matrix": c.io_matrix, - } - p.update_specifications(updated_params_tax) - # Run model start_time = time.time() - # runner(p, time_path=True, client=client) + runner(p, time_path=True, client=client) print("run time = ", time.time() - start_time) """ From 0d55f44d0a92dc9a1742a3087c62b20f721679e6 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sat, 3 Aug 2024 19:21:43 -0400 Subject: [PATCH 09/15] function check if connected --- ogzaf/utils.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/ogzaf/utils.py b/ogzaf/utils.py index 098f3ff..c7299bd 100644 --- a/ogzaf/utils.py +++ b/ogzaf/utils.py @@ -1,6 +1,7 @@ import requests import urllib3 import ssl +import socket class CustomHttpAdapter(requests.adapters.HTTPAdapter): @@ -29,3 +30,15 @@ def get_legacy_session(): session = requests.session() session.mount("https://", CustomHttpAdapter(ctx)) return session + + +# Function to check if connected to internet +def is_connected(): + try: + # connect to the host -- tells us if the host is actually + # reachable + socket.create_connection(("1.1.1.1", 53)) + return True + except OSError: + pass + return False \ No newline at end of file From 41d507c3cad74b0c666e0dfc95d3d0c6e47ec9c2 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sat, 3 Aug 2024 19:21:57 -0400 Subject: [PATCH 10/15] check if cnnected --- examples/run_og_zaf.py | 8 +++++--- ogzaf/input_output.py | 18 +++++++++++------- 2 files changed, 16 insertions(+), 10 deletions(-) diff --git a/examples/run_og_zaf.py b/examples/run_og_zaf.py index 14eae4d..a4c8a6f 100644 --- a/examples/run_og_zaf.py +++ b/examples/run_og_zaf.py @@ -14,6 +14,7 @@ from ogcore import output_plots as op from ogcore.execute import runner from ogcore.utils import safe_read_pickle +from ogzaf.utils import is_connected # Use a custom matplotlib style file for plots plt.style.use("ogcore.OGcorePlots") @@ -50,9 +51,10 @@ def main(): defaults = json.load(file) p.update_specifications(defaults) # Update parameters from calibrate.py Calibration class - c = Calibration(p) - updated_params = c.get_dict() - p.update_specifications(updated_params) + if is_connected(): # only update if connected to internet + c = Calibration(p) + updated_params = c.get_dict() + p.update_specifications(updated_params) # Run model start_time = time.time() diff --git a/ogzaf/input_output.py b/ogzaf/input_output.py index e6d2bee..6db9288 100644 --- a/ogzaf/input_output.py +++ b/ogzaf/input_output.py @@ -1,5 +1,6 @@ import pandas as pd import numpy as np +from ogzaf.utils import is_connected from ogzaf.constants import CONS_DICT, PROD_DICT """ @@ -8,13 +9,16 @@ # Read in SAM file storage_options = {"User-Agent": "Mozilla/5.0"} SAM_path = "https://www.wider.unu.edu/sites/default/files/Data/SASAM-2015-Data-Resource.xlsx" -SAM = pd.read_excel( - SAM_path, - sheet_name="Micro SAM 2015", - skiprows=6, - index_col=0, - storage_options=storage_options, -) +if is_connected(): + SAM = pd.read_excel( + SAM_path, + sheet_name="Micro SAM 2015", + skiprows=6, + index_col=0, + storage_options=storage_options, + ) +else: + SAM = None def get_alpha_c(sam=SAM, cons_dict=CONS_DICT): From b143877a4b1aee85b5e43e4ed5ed4e4d629333bf Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sat, 3 Aug 2024 19:23:41 -0400 Subject: [PATCH 11/15] format --- ogzaf/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ogzaf/utils.py b/ogzaf/utils.py index c7299bd..993081c 100644 --- a/ogzaf/utils.py +++ b/ogzaf/utils.py @@ -41,4 +41,4 @@ def is_connected(): return True except OSError: pass - return False \ No newline at end of file + return False From e24bd2e32c1b31a309c0a56f1801a10473b8bf99 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sun, 4 Aug 2024 08:43:54 -0400 Subject: [PATCH 12/15] fix list of data sources --- ogzaf/macro_params.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ogzaf/macro_params.py b/ogzaf/macro_params.py index e23ebdd..d89a22c 100644 --- a/ogzaf/macro_params.py +++ b/ogzaf/macro_params.py @@ -1,6 +1,6 @@ """ This module uses data from World Bank WDI, World Bank Quarterly Public -Sector Debt (QPSD) database, UN Data Portal, and FRED to find values for +Sector Debt (QPSD) database, the IMF, and UN ILO to find values for parameters for the OG-ZAF model that rely on macro data for calibration. """ From 4992d7d9dddaed4a07db44e0a152936032fc3429 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Mon, 5 Aug 2024 00:10:15 -0400 Subject: [PATCH 13/15] add r for string regex --- ogzaf/income.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ogzaf/income.py b/ogzaf/income.py index 313099c..c649667 100644 --- a/ogzaf/income.py +++ b/ogzaf/income.py @@ -313,7 +313,7 @@ def get_e_interp(S, age_wgts, age_wgts_80, abil_wgts, plot_path=None): def get_e_orig(age_wgts, abil_wgts, plot_path=None): - """ + r""" This function generates the 80 x 7 matrix of lifetime earnings ability profiles, corresponding to annual ages from 21 to 100 and to paths based on income percentiles 0-25, 25-50, 50-70, 70-80, 80-90, From 79e926b0220c1068eb03569c7314b438e8938bd7 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Mon, 5 Aug 2024 00:22:00 -0400 Subject: [PATCH 14/15] another string change for windows --- ogzaf/macro_params.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ogzaf/macro_params.py b/ogzaf/macro_params.py index d89a22c..88306b0 100644 --- a/ogzaf/macro_params.py +++ b/ogzaf/macro_params.py @@ -33,7 +33,7 @@ def get_macro_params( # initialize a dictionary of parameters macro_parameters = {} # baseline date formatted for World Bank data - baseline_YYYYQ = data_end_date.strftime("%YQ%q") + baseline_YYYYQ = data_end_date.strftime(r"%YQ%q") """ Retrieve data from the World Bank World Development Indicators. From fce954550a2707c9618edecd2b2bf8b70d8352fd Mon Sep 17 00:00:00 2001 From: jdebacker Date: Mon, 5 Aug 2024 00:35:43 -0400 Subject: [PATCH 15/15] use diff method to get yyyyq --- ogzaf/macro_params.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/ogzaf/macro_params.py b/ogzaf/macro_params.py index 88306b0..8198eff 100644 --- a/ogzaf/macro_params.py +++ b/ogzaf/macro_params.py @@ -33,7 +33,11 @@ def get_macro_params( # initialize a dictionary of parameters macro_parameters = {} # baseline date formatted for World Bank data - baseline_YYYYQ = data_end_date.strftime(r"%YQ%q") + baseline_YYYYQ = ( + str(data_end_date.year) + + "Q" + + str(pd.Timestamp(data_end_date).quarter) + ) """ Retrieve data from the World Bank World Development Indicators.