{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:OJRUBXJPZY62WUD2SJXPMFUAPZ","short_pith_number":"pith:OJRUBXJP","schema_version":"1.0","canonical_sha256":"726340dd2fce3dab507a926ef616807e655a4cdc3d13539e10d64eb5ba68a5ff","source":{"kind":"arxiv","id":"2505.05670","version":3},"attestation_state":"computed","paper":{"title":"Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.ST","stat.AP","stat.ME","stat.TH"],"primary_cat":"econ.EM","authors_text":"Matias D. Cattaneo, Rocio Titiunik, Ruiqi Rae Yu","submitted_at":"2025-05-08T21:59:05Z","abstract_excerpt":"Boundary discontinuity designs are used to learn about causal treatment effects along a continuous assignment boundary that splits units into control and treatment groups according to a bivariate location score. We analyze location-based local polynomial treatment effect estimators that directly employ the bivariate score of each unit. We develop pointwise and uniform estimation and inference methods for the \\textit{Boundary Average Treatment Effect Curve} (BATEC), as well as for two aggregated causal parameters: the \\textit{Weighted Boundary Average Treatment Effect} (WBATE) and the \\textit{L"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2505.05670","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-05-08T21:59:05Z","cross_cats_sorted":["math.ST","stat.AP","stat.ME","stat.TH"],"title_canon_sha256":"f28e14af1c4c076800795be23c64d80c5cc99d559f2f9a2330ba0d38b0c7874e","abstract_canon_sha256":"2354e54f5be62d6968f725899cca6eb8f22a09c7a58cd8f78287cb285ea75078"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:01.375566Z","signature_b64":"tmijPwYb2eylbg1wgGxuZsqsP/S+8Eybo0q3h1aZ9sGQSyUb5Ya/Cmv7eW5ZKJAiDaBS/V1RVSw14zz+Z4JHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"726340dd2fce3dab507a926ef616807e655a4cdc3d13539e10d64eb5ba68a5ff","last_reissued_at":"2026-05-17T23:39:01.374825Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:01.374825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.ST","stat.AP","stat.ME","stat.TH"],"primary_cat":"econ.EM","authors_text":"Matias D. Cattaneo, Rocio Titiunik, Ruiqi Rae Yu","submitted_at":"2025-05-08T21:59:05Z","abstract_excerpt":"Boundary discontinuity designs are used to learn about causal treatment effects along a continuous assignment boundary that splits units into control and treatment groups according to a bivariate location score. We analyze location-based local polynomial treatment effect estimators that directly employ the bivariate score of each unit. We develop pointwise and uniform estimation and inference methods for the \\textit{Boundary Average Treatment Effect Curve} (BATEC), as well as for two aggregated causal parameters: the \\textit{Weighted Boundary Average Treatment Effect} (WBATE) and the \\textit{L"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.05670","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2505.05670","created_at":"2026-05-17T23:39:01.374943+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.05670v3","created_at":"2026-05-17T23:39:01.374943+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.05670","created_at":"2026-05-17T23:39:01.374943+00:00"},{"alias_kind":"pith_short_12","alias_value":"OJRUBXJPZY62","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_16","alias_value":"OJRUBXJPZY62WUD2","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_8","alias_value":"OJRUBXJP","created_at":"2026-05-18T12:33:37.589309+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ","json":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ.json","graph_json":"https://pith.science/api/pith-number/OJRUBXJPZY62WUD2SJXPMFUAPZ/graph.json","events_json":"https://pith.science/api/pith-number/OJRUBXJPZY62WUD2SJXPMFUAPZ/events.json","paper":"https://pith.science/paper/OJRUBXJP"},"agent_actions":{"view_html":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ","download_json":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ.json","view_paper":"https://pith.science/paper/OJRUBXJP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.05670&json=true","fetch_graph":"https://pith.science/api/pith-number/OJRUBXJPZY62WUD2SJXPMFUAPZ/graph.json","fetch_events":"https://pith.science/api/pith-number/OJRUBXJPZY62WUD2SJXPMFUAPZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ/action/storage_attestation","attest_author":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ/action/author_attestation","sign_citation":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ/action/citation_signature","submit_replication":"https://pith.science/pith/OJRUBXJPZY62WUD2SJXPMFUAPZ/action/replication_record"}},"created_at":"2026-05-17T23:39:01.374943+00:00","updated_at":"2026-05-17T23:39:01.374943+00:00"}