{"id":"W2912569281","doi":"10.3982/qe1760","title":"Consumption peer effects and utility needs in India","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Consumption (sociology); Microdata (statistics); Rupee; Economics; Welfare; Public economics; Peer group; Affect (linguistics); Externality; Social Welfare; Survey data collection; Public good; Business; Microeconomics; Psychology; Environmental health; Monetary economics; Social psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007237487,0.0001297098,0.0002322194,0.0005160435,0.0002071043,0.0001107405,0.0001137655,0.0000290095,0.0005054804],"category_scores_gemma":[0.0001712635,0.0001527163,0.00005164952,0.0003526868,0.00006278872,0.0007065168,0.0002369682,0.0001481972,0.0001409454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007777342,"about_ca_system_score_gemma":0.00001546508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003146685,"about_ca_topic_score_gemma":0.0001643276,"domain_scores_codex":[0.9991695,0.00003506768,0.0002697238,0.0002488064,0.00009607933,0.0001808471],"domain_scores_gemma":[0.9994628,0.0001379366,0.0001962049,0.0001341603,0.00006009461,0.000008789414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005445845,0.00004392616,0.8705536,0.00006702698,0.000007459065,0.000003619279,0.0002818701,0.0000693578,0.0000232592,0.1279521,0.000549713,0.0003935605],"study_design_scores_gemma":[0.0005397549,0.00002151852,0.9540873,0.000009290598,0.0000307547,4.492585e-7,0.0004520981,0.02219817,0.00001002789,0.005957717,0.01650526,0.0001876319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964477,0.0001301171,0.00001637933,0.0001292969,0.0002719637,0.0002350339,0.000009763565,0.0000265521,0.002733152],"genre_scores_gemma":[0.9986295,0.00001928655,0.0002025232,0.0007467113,0.00006630336,0.00003785164,0.00009337832,0.00001488415,0.0001895585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1219944,"threshold_uncertainty_score":0.6227589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484985755620288,"score_gpt":0.2478536447021557,"score_spread":0.2230037871459528,"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."}}