{"id":"W3189773310","doi":"","title":"Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Bristol","keywords":"Econometrics; Economics; Monotonic function; Nonparametric statistics; Variable (mathematics); Identification (biology); Econometric model; Distribution (mathematics); Function (biology); Panel data; Microeconomics; Mathematics","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":[0.003079071,0.0005789864,0.001130806,0.0005886758,0.0004704108,0.001554855,0.001720247,0.001474644,0.008037494],"category_scores_gemma":[0.008696047,0.0006329317,0.001207505,0.001515407,0.0007050346,0.00166667,0.001554293,0.001502706,0.0009412949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857888,"about_ca_system_score_gemma":0.0005944029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585923,"about_ca_topic_score_gemma":0.01454181,"domain_scores_codex":[0.998706,0.0007447237,0.00004416162,0.0002787182,0.00008042501,0.0001459521],"domain_scores_gemma":[0.9945567,0.003109304,0.001219688,0.0007847346,0.0001607772,0.0001688934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001681622,0.0001591099,0.03467844,0.0001176429,0.0004336437,0.0004539243,0.0007239225,0.79218,0.0007713721,0.1380887,0.003877762,0.02834721],"study_design_scores_gemma":[0.00002824513,0.00003395223,0.005648844,0.00002847601,0.00004139632,0.00005123868,0.0001657271,0.9241109,0.0001241328,0.06738077,0.002362156,0.00002412568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2786362,0.000579526,0.7071475,0.001690313,0.00005590236,0.0001241572,0.003317845,0.0002472623,0.008201257],"genre_scores_gemma":[0.9399066,0.0005506351,0.04190204,0.000240535,0.00008180024,0.0003913977,0.002299118,0.00006589333,0.01456198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01585923,"threshold_uncertainty_score":0.03153384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576641265889653,"score_gpt":0.3443775115894038,"score_spread":0.1867133850004385,"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."}}