{"id":"W4214806580","doi":"10.3982/ecta5997","title":"An Empirical Model of Growth Through Product Innovation","year":2008,"lang":"en","type":"article","venue":"Econometrica","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":354,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"Samfund og Erhverv, Det Frie Forskningsråd; National Science Foundation","keywords":"Economics; Productivity; Aggregate (composite); Growth model; Structural estimation; Growth theory; Econometrics; Panel data; Microeconomics; Resource (disambiguation); Product innovation; Product (mathematics); Creative destruction; Industrial organization; Macroeconomics; Mathematics; Computer science","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":[0.001872667,0.0007246869,0.001015043,0.001710469,0.00064685,0.002865778,0.002400021,0.002986755,0.01543941],"category_scores_gemma":[0.005930895,0.0005578913,0.001418776,0.00256067,0.001438557,0.004415099,0.001236037,0.0015804,0.003434513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202944,"about_ca_system_score_gemma":0.001284661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043936,"about_ca_topic_score_gemma":0.005088697,"domain_scores_codex":[0.9992266,0.000202912,0.00003570699,0.0002535125,0.000148196,0.0001330845],"domain_scores_gemma":[0.9979123,0.001197614,0.0003555194,0.0001861336,0.0002305947,0.0001178303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009802786,0.0001493048,0.005717729,0.0001522623,0.00007209711,0.0003377249,0.0003912064,0.3113687,0.0008211318,0.6509111,0.003860304,0.02612051],"study_design_scores_gemma":[0.0001551364,0.0001298554,0.003549067,0.00006340235,0.00006293955,0.0003387214,0.0001646817,0.6488425,0.0003471544,0.3279859,0.0183163,0.00004436052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3443676,0.003607922,0.5189669,0.01076213,0.0001831099,0.0004345753,0.00511604,0.001027079,0.1155347],"genre_scores_gemma":[0.8860293,0.003305249,0.03393107,0.000359953,0.0001550603,0.0004407432,0.001868301,0.00009679553,0.07381355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01543941,"threshold_uncertainty_score":0.05164999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482846756506713,"score_gpt":0.2848216258298651,"score_spread":0.1365369501791938,"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."}}