{"id":"W2747639711","doi":"10.1080/19186444.2017.1362860","title":"Macroeconomic impact of FDI inflows: an ARDL approach for the case of India","year":2017,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Exchange rate; Foreign direct investment; Distributed lag; Shock (circulatory); Short run; Econometrics; Unit root; Monetary economics; Error correction model; Gross domestic product; Real gross domestic product; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002260841,0.0006791089,0.001369907,0.002017593,0.0003610761,0.003298716,0.001310285,0.001285098,0.005384319],"category_scores_gemma":[0.005733361,0.0003408322,0.002205763,0.002995545,0.0007161229,0.001325441,0.001366616,0.003302675,0.0005840033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399568,"about_ca_system_score_gemma":0.002135744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06841151,"about_ca_topic_score_gemma":0.0401591,"domain_scores_codex":[0.9990989,0.0004435315,0.00004618682,0.00007930475,0.0000989495,0.0002331272],"domain_scores_gemma":[0.9960951,0.002386781,0.0005093811,0.0002293584,0.0006236995,0.0001557086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000430333,0.0002601841,0.05037015,0.0009256015,0.001913019,0.002599559,0.0003897989,0.6453831,0.0006989579,0.2259355,0.03247884,0.03861502],"study_design_scores_gemma":[0.0001457488,0.0003946467,0.04247994,0.0004410984,0.002953495,0.000360886,0.001774727,0.8284672,0.001236524,0.08213919,0.03942209,0.0001843992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7185608,0.05454438,0.08547096,0.02813027,0.001928761,0.000143332,0.01092266,0.001015178,0.0992837],"genre_scores_gemma":[0.9732702,0.01185951,0.002674232,0.0003568275,0.0003970663,0.00003696625,0.00178981,0.00008463774,0.00953069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06841151,"threshold_uncertainty_score":0.1360267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508756578686347,"score_gpt":0.3171406002524595,"score_spread":0.1662649423838249,"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."}}