{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006522574,0.000268218,0.0003754846,0.0009269264,0.0006144869,0.001710061,0.0006681526,0.0004122214,0.006667046],"category_scores_gemma":[0.003211756,0.0002980974,0.000543305,0.001124955,0.001062279,0.000928683,0.00158395,0.0006697719,0.0004010186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403266,"about_ca_system_score_gemma":0.0007449101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05291001,"about_ca_topic_score_gemma":0.03496575,"domain_scores_codex":[0.9993567,0.0002502936,0.00002970483,0.00008565943,0.00009062974,0.0001870376],"domain_scores_gemma":[0.9981596,0.0008313289,0.0005066814,0.0001929077,0.0001686349,0.0001408863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004863869,0.0003800287,0.5970075,0.0002342249,0.0003561389,0.001664936,0.007092955,0.144634,0.001412552,0.1976303,0.006187204,0.04291385],"study_design_scores_gemma":[0.0001072609,0.0003485711,0.6246177,0.0001099792,0.0005161018,0.001211806,0.007300048,0.2852013,0.001111357,0.06512061,0.01422873,0.0001265348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786461,0.0001925335,0.003869253,0.0009633517,0.000006837378,0.0000347293,0.000460552,0.00006456917,0.01576197],"genre_scores_gemma":[0.9980907,0.00006809918,0.0002495839,0.00001998859,0.00000401211,0.00001090857,0.00007074943,0.000003836042,0.001482205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05291001,"threshold_uncertainty_score":0.105204,"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."}}