{"id":"W1840255765","doi":"10.2139/ssrn.841684","title":"Firm Entry and Wages: Impact of Wal-Mart Growth on Earnings Throughout the Retail Sector","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Endogeneity; Economic rent; Instrumental variable; Labour economics; Retail trade; Control (management); Economics; Business; Compensation (psychology); Demographic economics; Econometrics; Finance; Commerce","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":[0.0005778659,0.0001872548,0.0003381543,0.0005188072,0.0003793111,0.002383745,0.0004463337,0.0009001884,0.008241954],"category_scores_gemma":[0.003882667,0.0001683616,0.000468709,0.0007596825,0.0006389052,0.001265489,0.0008551348,0.001179945,0.001049893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007581919,"about_ca_system_score_gemma":0.000620711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0312991,"about_ca_topic_score_gemma":0.04238388,"domain_scores_codex":[0.9996879,0.00005308319,0.00001579568,0.0000446351,0.00004426385,0.0001543461],"domain_scores_gemma":[0.99296,0.002917055,0.001786805,0.0001710936,0.0004451744,0.001719851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002381159,0.0005809378,0.9763861,0.00002335262,0.00009180645,0.000731821,0.0005261517,0.003071957,0.002044283,0.001340307,0.001398866,0.0114233],"study_design_scores_gemma":[0.0000311991,0.0001834579,0.9932204,0.000009857311,0.00003966417,0.00007302916,0.001449789,0.003453253,0.0004174875,0.0006608082,0.00044843,0.00001245494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981735,0.0001464517,0.00004610427,0.0002805195,0.000005618348,0.000002117589,0.0001601518,0.000009106548,0.001176512],"genre_scores_gemma":[0.9986229,0.00004883711,0.000009420535,0.00001972746,0.000009656583,5.549597e-7,0.0001316448,0.000002773481,0.001154474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0312991,"threshold_uncertainty_score":0.06223387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149254491188973,"score_gpt":0.2322681886518865,"score_spread":0.2173427395329892,"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."}}