{"id":"W2009201331","doi":"10.1080/13504851.2011.568382","title":"Breaking deterministics, test size and the efficient Wald test for fractional unit roots","year":2011,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Wald test; Test (biology); Unit root; Null hypothesis; Unit (ring theory); Econometrics; Statistics; Mathematics; Null (SQL); Economics; Statistical hypothesis testing; Computer science; Botany; Database; Biology; Mathematics education","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":[0.1882622,0.001269234,0.004144079,0.005798058,0.002535932,0.00475806,0.004330301,0.004686618,0.006832602],"category_scores_gemma":[0.6583209,0.001074201,0.003711738,0.005301955,0.01269104,0.0128084,0.004779589,0.008055846,0.0007700154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641158,"about_ca_system_score_gemma":0.002293614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028393,"about_ca_topic_score_gemma":0.0006824476,"domain_scores_codex":[0.7650613,0.1795288,0.01135022,0.01853014,0.02255204,0.002977419],"domain_scores_gemma":[0.08891688,0.8671004,0.01354095,0.02514887,0.003699306,0.001593591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00473848,0.0006150999,0.2787456,0.001343688,0.007403105,0.003183474,0.002660385,0.03499228,0.004582621,0.2967068,0.01387099,0.3511575],"study_design_scores_gemma":[0.001248633,0.003537598,0.1081937,0.0004525807,0.002265844,0.002864236,0.001599745,0.204247,0.007405675,0.6557534,0.01196691,0.0004647232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3358339,0.004392676,0.6330717,0.008704145,0.001246901,0.0009271458,0.001154331,0.0007650453,0.01390416],"genre_scores_gemma":[0.936466,0.000253651,0.05996234,0.0006935725,0.0005098252,0.0006428715,0.0005607296,0.0001676946,0.0007432618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1882622,"threshold_uncertainty_score":0.9956377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05336322195820237,"score_gpt":0.202205785936463,"score_spread":0.1488425639782606,"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."}}