{"query_echo":{"q":"","filters":{"analysis_type":["linear regression"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'linear regression' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=linear+regression","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"clipolin-000362","url":"https://climateinsightsdirectory.org/document/clipolin-000362","title":"Appendix: Closing the Rural Credit Divide","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2026-03","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/04/Apendice-Pronaf-EN.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document presents linear regression models based on 2017 Agricultural Census data to determine the impact of cooperatives and technical assistance (ATER) on the share of smallholder farmers accessing PRONAF in Brazil. The results indicate that both cooperative membership and ATER access are significant positive drivers of credit access across all analyzed regions, while illiteracy did not yield significant results.","ai_generated":true,"unit":"clipolin-000362#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The analysis identifies that both cooperative membership and Technical Assistance and Rural Extension (ATER) have a statistically significant positive impact on the proportion of smallholder farmers who access PRONAF across all Brazilian regions.","ai_generated":true,"unit":"clipolin-000362#insight-1","date_modified":"2026-10-23"},{"text":"The study used linear regressions with ordinary least squares estimators, incorporating state or regional fixed effects and controlling for illiteracy, though illiteracy was not found to be a significant factor in any region.","ai_generated":true,"unit":"clipolin-000362#insight-2","date_modified":"2026-10-23"},{"text":"Simulation results indicate a strong positive interaction effect between ATER and cooperative membership in relation to PRONAF access.","ai_generated":true,"unit":"clipolin-000362#insight-3","date_modified":"2026-10-23"}],"climate_tags":["smallholder"],"geography_discussed":["Northern Region","Northeast Region","Southeast Region","Southern Region","Midwest Region"],"frame_perspective":[],"analysis_type":["quantitative analysis","linear regression"]},{"id":"clipolin-000363","url":"https://climateinsightsdirectory.org/document/clipolin-000363","title":"Quem Fica de Fora do Pronaf?","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"pt","date_published":"2026-03","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/04/Apendice-Pronaf-PT.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The document details a quantitative analysis of Pronaf access in Brazil, using 2017 Agricultural Census data. It employs linear regressions to assess how the presence of cooperatives and Technical Assistance and Rural Extension (ATER) services impact the share of family farmers accessing the program. The results indicate that both cooperatives and ATER have a statistically significant positive effect on Pronaf access, with the South region showing a positive correlation and the North, Northeast, and Southeast regions showing negative correlations relative to the baseline.","ai_generated":true,"unit":"clipolin-000363#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The presence of cooperatives and Technical Assistance and Rural Extension (ATER) services in a municipality are both positively and significantly associated with a higher share of family farmers accessing Pronaf.","ai_generated":true,"unit":"clipolin-000363#insight-1","date_modified":"2026-10-23"},{"text":"Regional analysis shows that the South region has a positive coefficient for Pronaf access, while the North, Northeast, and Southeast regions have negative coefficients.","ai_generated":true,"unit":"clipolin-000363#insight-2","date_modified":"2026-10-23"},{"text":"Illiteracy was included as a control variable in the linear model but did not yield significant results for any of the analyzed regions.","ai_generated":true,"unit":"clipolin-000363#insight-3","date_modified":"2026-10-23"},{"text":"Simulation results indicate a strong positive interaction effect between ATER and cooperatives regarding access to Pronaf.","ai_generated":true,"unit":"clipolin-000363#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["North Region","Northeast Region","Southeast Region","South Region","Center-West Region"],"frame_perspective":[],"analysis_type":["quantitative analysis","linear regression","simulation"]}]}