county_educatn_election_cont.zip

This file is part of "SpaCE: The Spatial Confounding Environment".

Version 29.0

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Tec, Mauricio; Trisovic, Ana; Audirac, Michelle; Dominici, Francesca, 2023, "SpaCE: The Spatial Confounding Environment", https://doi.org/10.7910/DVN/SYNPBS, Harvard Dataverse, V29; county_educatn_election_cont.zip [fileName]

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Download URL	Use the Download URL in a Wget command or a download manager to avoid interrupted downloads, time outs or other failures. User Guide - Downloading via URL `https://qa.dataverse.org/api/access/datafile/11680297`
MD5	46c8a92e207c2f7d5173fad2f23e98e5
Deposit Date	2025-06-28
Metadata Release Date	2025-06-28
Publication Date	2025-06-28
Size	4.3 MB
Type	ZIP Archive
Description	This is a synthetic dataset generated for the space project. The dataset was generated using the following configuration: {"spaceenv": {"base_name": "${hydra:runtime.choices.spaceenv}", "covariates": ["noaa_prcp", "noaa_snow", "noaa_altitude", {"noadd_temp": ["noaa_temp", "noaa_temp_jan", "noaa_temp_apr", "noaa_temp_jul", "noaa_temp_oct"]}, "cs_female", "population/2019", {"cdc_violence": ["cdc_suicides", "cdc_homicides", "cdc_vehicle_deaths", "cdc_police_deaths_total", "cdc_police_deaths_unarmed", "police_deaths"]}, {"bls_employment": ["bls_labor_force", "bls_employed", "bls_unemployed"]}, {"income": ["avg_income", "poverty-rate"]}, {"bls_costs": ["bls_living_wage", "bls_food_costs", "bls_medical_costs", "bls_housing_costs", "bls_tax_costs"]}, {"health_risk_facotrs": ["health_poor_health_pct", "health_smokers_pct", "health_obese_pct", "health_phy_inactive_pct"]}, {"health_income": ["health_children_poverty_pct", "health_80th_perc_income_pct", "health_20th_perc_income_pct"]}, {"age": ["cs_age-to-25", "cs_age-25-65", "cs_age-over-65"]}, {"race": ["cs_white", "cs_black", "cs_asian", "cs_hispanic"]}], "outcome": "election_dem_pct", "treament": "???", "index_col": "0", "treatment_max_bins": "100", "scaling": {"outcome": "null", "treatment": "null", "covariates": "null"}, "transforms": {"outcome": "null", "treatment": "null", "covariates": "null"}, "fill_missing_covariate_values": "true", "bsplines": "false", "bsplines_degree": "3", "bsplines_df": "5", "binary_treatment_iteractions": "true", "seed": "42", "autogluon": {"fit": {"presets": "good_quality", "time_limit": "900"}, "leave_out_fit": {"presets": "good_quality", "time_limit": "900"}, "feat_importance": {"time_limit": "900"}}, "spatial_tuning": {"init_frac": "0.03", "levels": "1", "buffer": "1"}, "treatment_quantile_valid_range": ["0.025", "0.975"], "outcome_quantile_valid_range": ["0.01", "0.99"], "ensemble_models": ["FASTAI", "CAT", "NN_TORCH", "XGB"], "collection": "corr_election_us", "treatment": "cs_ed_below_highschool"}, "num_plot_samples": "50", "debug_subsample": "null"}

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