{"id":"W4411333887","doi":"10.3386/w33925","title":"Does Matching Contribution Incentivize Informal Workers to Participate in Retirement Saving Plans? A Randomized Evaluation Interacted with a Natural Experiment","year":2025,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HEC Montréal; Universidad del Pacífico; Network for Studies on Pensions, Aging and Retirement","keywords":"Natural experiment; Matching (statistics); Natural (archaeology); Business; Labour economics; Actuarial science; Economics; Statistics; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00964839,0.0008020304,0.001213176,0.0003432628,0.0008739324,0.001394514,0.001039045,0.002196465,0.01063989],"category_scores_gemma":[0.02585878,0.0004985309,0.00066342,0.0002710809,0.001687671,0.001017458,0.001158235,0.001223991,0.000713439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347516,"about_ca_system_score_gemma":0.001570373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108982,"about_ca_topic_score_gemma":0.001146371,"domain_scores_codex":[0.9910615,0.006813605,0.0002968547,0.0007595351,0.0004519476,0.0006165985],"domain_scores_gemma":[0.9706508,0.02057401,0.004523779,0.00217208,0.0005536775,0.001525582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4681394,0.2552632,0.04954369,0.003592678,0.001611396,0.0005359199,0.002607872,0.01453053,0.0471872,0.01768345,0.003746236,0.1355584],"study_design_scores_gemma":[0.1750786,0.4919351,0.1840693,0.0004446193,0.002422191,0.0001782934,0.002816626,0.05457989,0.02658247,0.03981242,0.02179653,0.0002839566],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924499,0.00009221063,0.00173364,0.0004886835,0.00009329739,0.001351286,0.0001132747,0.00006456552,0.003613112],"genre_scores_gemma":[0.9923015,0.00006475058,0.00226646,0.0002686877,0.0000551965,0.00243762,0.00006295635,0.00001092595,0.002531946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063989,"threshold_uncertainty_score":0.05102623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4421903387536264,"score_gpt":0.5933457905994519,"score_spread":0.1511554518458255,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}