{"id":"W612287786","doi":"10.34989/sdp-2012-9","title":"How Important Are Liquidity Constraints for Canadian Households? Evidence from Micro-Data","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Consumption (sociology); Sensitivity (control systems); Economics; Business; Monetary economics; Econometrics; Demographic economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0017591,0.0003839738,0.0005305803,0.002964375,0.002432531,0.002824061,0.001429658,0.0006372572,0.004765628],"category_scores_gemma":[0.01420299,0.0003858294,0.0005957223,0.01182927,0.0008885336,0.0008349972,0.001422551,0.0009132834,0.0004674343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01619908,"about_ca_system_score_gemma":0.01559134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939899,"about_ca_topic_score_gemma":0.995281,"domain_scores_codex":[0.9982414,0.0002050113,0.0001145811,0.0002880881,0.0006487758,0.0005020925],"domain_scores_gemma":[0.9859767,0.003286753,0.004169643,0.0009244209,0.004371332,0.001271141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002126944,0.00004046651,0.9549526,0.0001651675,0.000278493,0.0001542426,0.001450422,0.001488254,0.0001244784,0.002112554,0.0234217,0.01559899],"study_design_scores_gemma":[0.00002107327,0.00001050003,0.9805458,0.00009011121,0.00008328165,0.00004232242,0.001320507,0.00206314,0.0001534711,0.0003657741,0.01525694,0.00004708775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511266,0.00533102,0.0009137651,0.00565368,0.00005321669,0.00007707817,0.1221907,0.00009542568,0.01455868],"genre_scores_gemma":[0.9540589,0.002121888,0.0006309333,0.0004007099,0.00003134843,0.00003263099,0.04012648,0.00002389008,0.0025732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01619908,"threshold_uncertainty_score":0.1175331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05681779547860676,"score_gpt":0.2512866947322052,"score_spread":0.1944688992535984,"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."}}