{"id":30763,"date":"2026-04-27T22:36:54","date_gmt":"2026-04-27T19:36:54","guid":{"rendered":"https:\/\/mie.uth.gr\/?p=30763"},"modified":"2026-04-27T22:36:54","modified_gmt":"2026-04-27T19:36:54","slug":"%ce%b4%ce%b9%ce%ac%ce%bb%ce%b5%ce%be%ce%b7-pricing-interventions-in-matching-marketplaces-under-interference","status":"publish","type":"post","link":"https:\/\/mie.uth.gr\/?p=30763","title":{"rendered":"\u0394\u03b9\u03ac\u03bb\u03b5\u03be\u03b7: Pricing Interventions in Matching Marketplaces under Interference"},"content":{"rendered":"<p><strong>\u039f\u03bc\u03b9\u03bb\u03b7\u03c4\u03ae\u03c2:<\/strong> \u0394\u03c1. \u039a\u03bb\u03b5\u03ac\u03bd\u03b8\u03b7\u03c2 \u039a\u03b1\u03c1\u03b1\u03ba\u03cc\u03bb\u03b9\u03bf\u03c2<\/p>\n<p><strong>\u0397\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b1:<\/strong> \u03a4\u03c1\u03af\u03c4\u03b7, 28 \u0391\u03c0\u03c1\u03b9\u03bb\u03af\u03bf\u03c5 2026, \u038f\u03c1\u03b1: 15:00<br \/>\n<strong>\u03a4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c3\u03af\u03b1:<\/strong> \u0394\u03b9\u03b1\u03b4\u03b9\u03ba\u03c4\u03c5\u03b1\u03ba\u03ac \u03c3\u03c4\u03bf Microsoft Teams meeting <a href=\"https:\/\/teams.microsoft.com\/meet\/348968333477102?p=xGaW2v8S2IohVAOFyO\">https:\/\/teams.microsoft.com\/meet\/348968333477102?p=xGaW2v8S2IohVAOFyO, <\/a>\u0391\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c3\u03cd\u03c3\u03ba\u03b5\u03c8\u03b7\u03c2: 348 968 333 477 102, \u039a\u03c9\u03b4\u03b9\u03ba\u03cc\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7\u03c2: hV7DK7BK<\/p>\n<p><strong>\u03a0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7<\/strong><\/p>\n<p>Interference between treated and untreated units is a pervasive source of bias in marketplace experiments. This presentation focuses on pricing interventions in which a platform lowers base prices to stimulate demand. In matching marketplaces, such interventions raise a fundamental algorithmic design question: should treated and untreated units be matched differently to account for price differences? We show that standard estimation methods yield biased estimates, with the direction of bias depending critically on this design choice. To address this, we introduce the shadow price estimator, derived from the optimal dual solution to the platform&#8217;s supply\u2013demand matching problem. We further propose a matching design in which the platform deliberately ignores price differences during the matching process, and show that this design substantially reduces estimation bias.<\/p>\n<p><strong>\u0392\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc\u00a0\u039f\u03bc\u03b9\u03bb\u03b7\u03c4\u03ae:<\/strong><\/p>\n<p>\u039f \u039a\u03bb\u03b5\u03ac\u03bd\u03b8\u03b7\u03c2 \u039a\u03b1\u03c1\u03b1\u03ba\u03cc\u03bb\u03b9\u03bf\u03c2 \u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03cc\u03c2 \u03c3\u03cd\u03bc\u03b2\u03bf\u03c5\u03bb\u03bf\u03c2 \u03c3\u03c4\u03b7\u03bd Ernst &amp; Young &#8211; Parthenon (\u03b5\u03c0\u03b9\u03ba\u03b5\u03c6\u03b1\u03bb\u03ae\u03c2 \u03c4\u03bf\u03c5 AI Go-To-Market lab). \u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03c6\u03bf\u03b9\u03c4\u03bf\u03c2 \u03c4\u03bf\u03c5 Georgia Institute of Technology (PhD in Machine Learning &#8217;25, MBA &#8217;24, MS in ECE &#8217;22), \u03c4\u03bf\u03c5 Columbia Business School (MS in Operations Research &#8217;18) \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 \u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03b5\u03bb\u03b5\u03af\u03bf\u03c5 \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2 (\u0394\u03af\u03c0\u03bb\u03c9\u03bc\u03b1 \u0397\u039c\u039c\u03a5 &#8217;13). \u0397 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03b4\u03c1\u03b1\u03c3\u03c4\u03b7\u03c1\u03af\u03bf\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c3\u03c4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 Causal AI, Experimentation, Optimization, Stochastic Modeling, \u03ba\u03b1\u03b9 Business Analytics. \u0388\u03c7\u03b5\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ae\u03c2, \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2, \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03bf\u03bd\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c3\u03b5 Microsoft, Amazon Web Services, JPMorgan Chase, Bank of America Merrill Lynch, \u03ba\u03b1\u03b9 \u0395\u039a\u0395\u03a4\u0391\/\u0399\u03a0\u03a4\u0397\u039b.<\/p>\n<p>\u0397 \u03b4\u03b9\u03ac\u03bb\u03b5\u03be\u03b7\u00a0\u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03b5\u03b9\u03c1\u03ac\u03c2 \u03c3\u03b5\u03bc\u03b9\u03bd\u03b1\u03c1\u03af\u03c9\u03bd \u03c4\u03bf\u03c5 <a href=\"https:\/\/mie.uth.gr\/?page_id=24566\">\u03a0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u039c\u03b5\u03c4\u03b1\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03ce\u03bd \u03a3\u03c0\u03bf\u03c5\u03b4\u03ce\u03bd (\u03a0\u039c\u03a3) \u00ab\u0394\u03b9\u03bf\u03af\u03ba\u03b7\u03c3\u03b7 \u0395\u03c6\u03bf\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u0391\u03bb\u03c5\u03c3\u03af\u03b4\u03b1\u03c2 \u03ba\u03b1\u03b9\u00a0Logistics\u00bb (\u0394\u0395\u0391L)<\/a> \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03bf\u03bb\u03cc\u03b3\u03c9\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u039f\u03bc\u03b9\u03bb\u03b7\u03c4\u03ae\u03c2: \u0394\u03c1. \u039a\u03bb\u03b5\u03ac\u03bd\u03b8\u03b7\u03c2 \u039a\u03b1\u03c1\u03b1\u03ba\u03cc\u03bb\u03b9\u03bf\u03c2 \u0397\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b1: \u03a4\u03c1\u03af\u03c4\u03b7, 28 \u0391\u03c0\u03c1\u03b9\u03bb\u03af\u03bf\u03c5 2026, \u038f\u03c1\u03b1: 15:00 \u03a4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c3\u03af\u03b1: \u0394\u03b9\u03b1\u03b4\u03b9\u03ba\u03c4\u03c5\u03b1\u03ba\u03ac \u03c3\u03c4\u03bf Microsoft Teams meeting https:\/\/teams.microsoft.com\/meet\/348968333477102?p=xGaW2v8S2IohVAOFyO, \u0391\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c3\u03cd\u03c3\u03ba\u03b5\u03c8\u03b7\u03c2: 348 968 333 477 102, \u039a\u03c9\u03b4\u03b9\u03ba\u03cc\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7\u03c2: hV7DK7BK \u03a0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 Interference<\/p>\n","protected":false},"author":10,"featured_media":9407,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[174],"tags":[],"class_list":["post-30763","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nea"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - 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