{"id":"W1989087635","doi":"10.2139/ssrn.720061","title":"Estimation of Panel Data Models with Binary Indicators when Treatment Effects are not Constant over Time","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Constant (computer programming); Panel data; Econometrics; Binary number; Estimation; Statistics; Binary data; Mathematics; Computer science; Economics","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":[0.0005938699,0.0002373814,0.0003834781,0.0001917368,0.00009235585,0.00002177654,0.0003685667,0.0000923659,0.000013269],"category_scores_gemma":[0.0001002718,0.0001691635,0.00005066744,0.0001559141,0.0001037464,0.0005650519,0.00007204765,0.0006130022,0.000005887588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499225,"about_ca_system_score_gemma":0.001538227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003366693,"about_ca_topic_score_gemma":0.00008265692,"domain_scores_codex":[0.998047,0.00006596665,0.0003540733,0.0002469819,0.0003553585,0.0009306498],"domain_scores_gemma":[0.9985738,0.000185659,0.0005507316,0.000560108,0.00005104986,0.00007862041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004494592,0.001048445,0.0002463487,0.0001208489,0.0007828912,0.00007635129,0.0008434287,0.006382537,0.004070209,0.9476237,0.00008662201,0.03826915],"study_design_scores_gemma":[0.001363392,0.001654112,0.00004282275,0.0002955318,0.000171706,0.0002792948,0.0001276309,0.004064983,0.009237801,0.9825521,0.000007486996,0.0002031421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4982716,0.0003962813,0.5002674,0.0001764958,0.00001745557,0.0004793784,0.00003530173,0.0001362749,0.0002198426],"genre_scores_gemma":[0.9654419,0.0005184175,0.03381083,0.00002377904,0.00002738479,0.00001504571,0.00002318387,0.00004098819,0.00009849244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4671703,"threshold_uncertainty_score":0.6898286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09702859518878437,"score_gpt":0.3515509214608287,"score_spread":0.2545223262720443,"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."}}