{"id":"W4283068737","doi":"10.1007/s40953-022-00294-y","title":"Some Consequences of Including Impulse-Indicator Dummy Variables in Econometric Models","year":2022,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Instrumental variable; Econometrics; Statistics; Variables; Mathematics; Impulse (physics); Econometric model; Maximum likelihood; Variable (mathematics); Regression analysis; Estimation; Regression; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00311137,0.0002262217,0.001204114,0.002364303,0.0001512146,0.00004862017,0.0006369129,0.0000800821,0.0008954185],"category_scores_gemma":[0.0002119467,0.0002792524,0.0003213396,0.000353993,0.0001862073,0.001511908,0.0001827211,0.0004505727,0.00004238235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006914391,"about_ca_system_score_gemma":0.0001755546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004131282,"about_ca_topic_score_gemma":0.00001211183,"domain_scores_codex":[0.9965858,0.00009281756,0.00254553,0.0003299936,0.0000416885,0.0004041983],"domain_scores_gemma":[0.9955829,0.0004922036,0.003509118,0.0002505574,0.0000233682,0.0001418688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001619067,0.0001830002,0.02591697,0.00003378754,0.0002098436,0.00001024247,0.001477082,0.5023286,0.00004260008,0.4691696,0.0003596198,0.0001067244],"study_design_scores_gemma":[0.002487571,0.001104643,0.006483672,0.00003123689,0.00002691219,0.0001229508,0.002793404,0.1601527,0.0003735786,0.8219357,0.003894771,0.0005928794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883646,0.006507545,0.0006341697,0.0006214117,0.0008455463,0.0001668472,0.0005979214,0.000005174035,0.002256743],"genre_scores_gemma":[0.9940157,0.001991964,0.003446172,0.0002965741,0.0001289886,0.00001070135,0.000007966693,0.00003148253,0.00007046726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3527661,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1988798338672096,"score_gpt":0.2948239689019948,"score_spread":0.09594413503478516,"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."}}