{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:BCNK5JAQ6TLV4FHZT552RRCR7D","short_pith_number":"pith:BCNK5JAQ","schema_version":"1.0","canonical_sha256":"089aaea410f4d75e14f99f7ba8c451f8e4778ae6efdb466d3b852ff6d783ab66","source":{"kind":"arxiv","id":"1811.02497","version":1},"attestation_state":"computed","paper":{"title":"Time will tell - Recovering Preferences when Choices are Noisy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.EC"],"primary_cat":"econ.GN","authors_text":"Carlos Alos-Ferrer, Ernst Fehr, Nick Netzer","submitted_at":"2018-11-06T17:11:21Z","abstract_excerpt":"The ability to uncover preferences from choices is fundamental for both positive economics and welfare analysis. Overwhelming evidence shows that choice is stochastic, which has given rise to random utility models as the dominant paradigm in applied microeconomics. However, as is well known, it is not possible to infer the structure of preferences in the absence of assumptions on the structure of noise. This makes it impossible to empirically test the structure of noise independently from the structure of preferences. Here, we show that the difficulty can be bypassed if data sets are enlarged "},"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":"1811.02497","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2018-11-06T17:11:21Z","cross_cats_sorted":["q-fin.EC"],"title_canon_sha256":"c53df84578636f87b16cc118dee43086a6a6c4324be0ae7241f795fd260d416c","abstract_canon_sha256":"91fff19c5d3d8d8ba86c596ee148880beeeb38016b26ac3e815fc9d0a7a12e6f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:24.102549Z","signature_b64":"8THCZL1pYggCNaownz+D+VbtxUjDDQT3o+ekMLhn+Cd5QURXT9BvlPQggYR2XJJzsTSdSg0s4gfjqo1vx5TcBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"089aaea410f4d75e14f99f7ba8c451f8e4778ae6efdb466d3b852ff6d783ab66","last_reissued_at":"2026-05-18T00:01:24.102110Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:24.102110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Time will tell - Recovering Preferences when Choices are Noisy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.EC"],"primary_cat":"econ.GN","authors_text":"Carlos Alos-Ferrer, Ernst Fehr, Nick Netzer","submitted_at":"2018-11-06T17:11:21Z","abstract_excerpt":"The ability to uncover preferences from choices is fundamental for both positive economics and welfare analysis. Overwhelming evidence shows that choice is stochastic, which has given rise to random utility models as the dominant paradigm in applied microeconomics. However, as is well known, it is not possible to infer the structure of preferences in the absence of assumptions on the structure of noise. This makes it impossible to empirically test the structure of noise independently from the structure of preferences. Here, we show that the difficulty can be bypassed if data sets are enlarged "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02497","kind":"arxiv","version":1},"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":"1811.02497","created_at":"2026-05-18T00:01:24.102178+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.02497v1","created_at":"2026-05-18T00:01:24.102178+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02497","created_at":"2026-05-18T00:01:24.102178+00:00"},{"alias_kind":"pith_short_12","alias_value":"BCNK5JAQ6TLV","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_16","alias_value":"BCNK5JAQ6TLV4FHZ","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_8","alias_value":"BCNK5JAQ","created_at":"2026-05-18T12:32:13.499390+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/BCNK5JAQ6TLV4FHZT552RRCR7D","json":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D.json","graph_json":"https://pith.science/api/pith-number/BCNK5JAQ6TLV4FHZT552RRCR7D/graph.json","events_json":"https://pith.science/api/pith-number/BCNK5JAQ6TLV4FHZT552RRCR7D/events.json","paper":"https://pith.science/paper/BCNK5JAQ"},"agent_actions":{"view_html":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D","download_json":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D.json","view_paper":"https://pith.science/paper/BCNK5JAQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.02497&json=true","fetch_graph":"https://pith.science/api/pith-number/BCNK5JAQ6TLV4FHZT552RRCR7D/graph.json","fetch_events":"https://pith.science/api/pith-number/BCNK5JAQ6TLV4FHZT552RRCR7D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D/action/storage_attestation","attest_author":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D/action/author_attestation","sign_citation":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D/action/citation_signature","submit_replication":"https://pith.science/pith/BCNK5JAQ6TLV4FHZT552RRCR7D/action/replication_record"}},"created_at":"2026-05-18T00:01:24.102178+00:00","updated_at":"2026-05-18T00:01:24.102178+00:00"}