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1{2 "indexed": {3  "date-parts": [4   [5    2026,6    10,7    198   ]9  ],10  "date-time": "2026-10-19T01:22:11Z",11  "timestamp": 1792372931096,12  "version": "4.4.0"13 },14 "reference-count": 44,15 "publisher": "Wiley",16 "issue": "4",17 "license": [18  {19   "start": {20    "date-parts": [21     [22      2016,23      11,24      1025     ]26    ],27    "date-time": "2016-11-10T00:00:00Z",28    "timestamp": 147873600000029   },30   "content-version": "vor",31   "delay-in-days": 9,32   "URL": "http://onlinelibrary.wiley.com/termsAndConditions#vor"33  }34 ],35 "content-domain": {36  "domain": [],37  "crossmark-restriction": false38 },39 "short-container-title": [40  "Int Economic Review"41 ],42 "published-print": {43  "date-parts": [44   [45    2016,46    1147   ]48  ]49 },50 "abstract": "<jats:p>I examine the effects of seller uncertainty over their home value on the housing market. Using evidence from home listings and transactions data, I first show that sellers do not have full information about current period demand conditions for their homes. I incorporate this type of uncertainty into a dynamic microsearch model of the home selling problem with Bayesian learning. The estimated model highlights how information frictions help to explain the microdecisions of sellers and how these microdecisions affect aggregate market dynamics. The model generates a significant microfounded momentum effect in short\u2010run aggregate price appreciation rates.</jats:p>",51 "DOI": "10.1111/iere.12204",52 "type": "journal-article",53 "created": {54  "date-parts": [55   [56    2016,57    11,58    1659   ]60  ],61  "date-time": "2016-11-16T21:13:02Z",62  "timestamp": 147933078200063 },64 "page": "1449-1479",65 "source": "Crossref",66 "is-referenced-by-count": 82,67 "title": [68  "INFORMATION FRICTIONS AND HOUSING MARKET DYNAMICS"69 ],70 "prefix": "10.1111",71 "volume": "57",72 "author": [73  {74   "given": "Elliot",75   "family": "Anenberg",76   "sequence": "first",77   "affiliation": [78    {79     "name": "Federal Reserve Board  U.S.A."80    }81   ],82   "role": [83    {84     "vocabulary": "crossref",85     "role": "author"86    }87   ]88  }89 ],90 "member": "311",91 "published-online": {92  "date-parts": [93   [94    2016,95    11,96    1097   ]98  ]99 },100 "reference": [101  {102   "key": "e_1_2_12_2_1",103   "doi-asserted-by": "publisher",104   "DOI": "10.1111/1468-2354.t01-2-00098"105  },106  {107   "key": "e_1_2_12_3_1",108   "doi-asserted-by": "publisher",109   "DOI": "10.1016/j.regsciurbeco.2010.08.003"110  },111  {112   "key": "e_1_2_12_4_1",113   "unstructured": "Anenberg E. \u201cUncertainty Learning and the Value of Information in the Residential Real Estate Market \u201d Mimeo Duke University 2011b."114  },115  {116   "key": "e_1_2_12_5_1",117   "doi-asserted-by": "publisher",118   "DOI": "10.1016/j.ejor.2006.08.035"119  },120  {121   "key": "e_1_2_12_6_1",122   "doi-asserted-by": "publisher",123   "DOI": "10.1111/1540-6229.00698"124  },125  {126   "key": "e_1_2_12_7_1",127   "doi-asserted-by": "crossref",128   "unstructured": "Burnside C. M.Eichenbaum andS.Rebelo \u201cUnderstanding Booms and Busts in Housing Markets \u201d Working Paper 16734 National Bureau of Economic Research January2011.",129   "DOI": "10.3386/w16734"130  },131  {132   "key": "e_1_2_12_8_1",133   "doi-asserted-by": "publisher",134   "DOI": "10.1257/aer.101.5.2108"135  },136  {137   "key": "e_1_2_12_9_1",138   "doi-asserted-by": "publisher",139   "DOI": "10.1111/j.1468-2354.2011.00677.x"140  },141  {142   "issue": "1",143   "key": "e_1_2_12_10_1",144   "first-page": "125",145   "article-title": "The Efficiency of the Market for Single\u2010Family Homes",146   "volume": "79",147   "author": "Case K. 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