Reviews and price on online platforms: Evidence from sentiment analysis of Airbnb reviews in Boston

There is a growing interest in deriving value from user-generated comments and reviews online. For businesses and consumers using online platforms, the reviews serve as quality metrics and influence consumers purchasing decision. This study examines the relationship between guests' reviews, used as a proxy for quality, and the price set by hosts on the Airbnb platform in Boston. Using sentiment analysis to derive the quality from the reviews and a hedonic spatial autoregressive model applied to rental room prices on Airbnb, we find that prices are strategic complements and are influenced by the review score, the characteristics of the room, and the features of the neighborhood. The marketing implication is that consumers respond to the contents of online reviews, in addition to customer ratings. Policies that improve the quality of the room for one host will have a spillover effect on the price of rooms offered by other hosts.

[1]  Adam D. Nowak,et al.  Textual Analysis in Real Estate , 2015 .

[2]  G. C. D. O. Santos,et al.  Worldwide hedonic prices of subjective characteristics of hostels. , 2016 .

[3]  L. Anselin,et al.  Spatial Interaction, Spatial Multipliers and Hospital Competition , 2009 .

[4]  Andrei Hagiu,et al.  Multi-Sided Platforms , 2015 .

[5]  Bing Liu,et al.  Opinion observer: analyzing and comparing opinions on the Web , 2005, WWW '05.

[6]  A. Mauri,et al.  Web reviews influence on expectations and purchasing intentions of hotel potential customers. , 2013 .

[7]  Rita Santos,et al.  Does a hospital's quality depend on the quality of other hospitals? A spatial econometrics approach , 2014, Regional science and urban economics.

[8]  Jaideep Srivastava,et al.  Impact of social influence in e-commerce decision making , 2007, ICEC.

[9]  Michael Luca,et al.  Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment , 2016 .

[10]  Joan Costa Price formation and market segmentation in seaside accommodations , 2013 .

[11]  Luc Anselin,et al.  Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics , 1995 .

[12]  J. Schor DEBATING THE SHARING ECONOMY , 2016 .

[13]  Shaojing Lu,et al.  Modeling hotel room price with geographically weighted regression , 2011 .

[14]  Hulisi Ögüt,et al.  The influence of internet customer reviews on the online sales and prices in hotel industry , 2012 .

[15]  Catherine Baumont,et al.  A Spatial Econometric Analysis of Convergence Across European Regions, 1980–1995 , 2003 .

[16]  Christer Thrane Hedonic Price Models and Sun-and-Beach Package Tours: The Norwegian Case , 2005 .

[17]  W. B. Cavnar,et al.  N-gram-based text categorization , 1994 .

[18]  Roger Bivand,et al.  Comparing Implementations of Estimation Methods for Spatial Econometrics , 2015 .

[19]  Michael Todisco,et al.  Share and Share Alike? Considering Racial Discrimination in the Nascent Room-Sharing Economy , 2015 .

[20]  Roger Bivand,et al.  Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods , 2013 .

[21]  Jacques-François Thisse,et al.  Price competition, quality and income disparities , 1979 .

[22]  Lillian Lee,et al.  Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..

[23]  I. Vermeulen,et al.  Tried and tested: The impact of online hotel reviews on consumer consideration , 2009 .

[24]  Vasudeva Varma,et al.  Supervised Learning Approaches for Rating Customer Reviews , 2010, J. Intell. Syst..

[25]  Rob Law,et al.  Determinants of hotel room price , 2011 .

[26]  Angelika Dimoka,et al.  The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation , 2006, Inf. Syst. Res..

[27]  J. Nicolau,et al.  Price determinants of sharing economy based accommodation rental : a study of listings from 33 cities on Airbnb.com , 2017 .

[28]  E. Ert,et al.  Trust and reputation in the sharing economy: The role of personal photos in Airbnb , 2015 .

[29]  Christopher A. Neilson,et al.  The Effect of School Construction on Test Scores, School Enrollment, and Home Prices , 2014, SSRN Electronic Journal.

[30]  R. Brooks,et al.  “Word-of-Mouth” Advertising in Selling New Products , 1957 .

[31]  Gustavo Romanillos,et al.  The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona , 2016, 1606.07138.

[32]  Dimitrios Buhalis,et al.  The influence of e-word-of-mouth on hotel occupancy rate , 2016 .

[33]  Massimo Motta,et al.  Endogenous Quality Choice: Price vs. Quantity Competition , 1993 .

[34]  H. Hotelling Stability in Competition , 1929 .

[35]  J. Byers,et al.  The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry , 2017 .

[36]  Benjamin R. Mandel,et al.  Crime, House Prices, and Inequality: The Effect of UPPs in Rio , 2012 .

[37]  Xavier Wauthy,et al.  Quality choice in models of vertical differentiation , 1996 .

[38]  Wei Chen,et al.  The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings , 2011, Comput. Hum. Behav..

[39]  Luc Anselin,et al.  Lagrange Multiplier Test Diagnostics for Spatial Dependence and Spatial Heterogeneity , 2010 .

[40]  M. Sturman,et al.  The Differential Effects of the Quality and Quantity of Online Reviews on Hotel Room Sales , 2014 .

[41]  K. Ihlanfeldt,et al.  Panel data estimates of the effects of different types of crime on housing prices , 2010 .

[42]  David L. Sunding,et al.  Hedonic analysis with locally weighted regression: An application to the shadow cost of housing regulation in Southern California , 2010 .

[43]  Christian Buchta,et al.  The textcat Package for n-Gram Based Text Categorization in R , 2013 .

[44]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[45]  Q. Ye,et al.  The impact of e-word-of-mouth on the online popularity of restaurants: a comparison of consumer reviews and editor reviews. , 2010 .

[46]  Sarah J. S. Wilner,et al.  Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities , 2009 .

[47]  W. Walls,et al.  Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office? , 1999 .

[48]  Michael Luca Reviews, Reputation, and Revenue: The Case of Yelp.Com , 2016 .

[49]  J. LeSage Introduction to spatial econometrics , 2009 .

[50]  Kyung Hyan Yoo,et al.  Use and Impact of Online Travel Reviews , 2008, ENTER.

[51]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[52]  Keren Mertens Horn,et al.  Is Home Sharing Driving up Rents? Evidence from Airbnb in Boston , 2016 .

[53]  Lisa R. Klein Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods , 1998 .

[54]  Baolong Ma,et al.  The impact of online user reviews on cameras sales , 2013 .

[55]  Thomas R. Eisenmann,et al.  Strategies for Two Sided Markets , 2006 .

[56]  Ling Liu,et al.  Do online reviews affect product sales? The role of reviewer characteristics and temporal effects , 2008, Inf. Technol. Manag..

[57]  Bing Liu,et al.  Mining and summarizing customer reviews , 2004, KDD.

[58]  Qiang Ye,et al.  Sentiment classification of online reviews to travel destinations by supervised machine learning approaches , 2009, Expert Syst. Appl..

[59]  Germà Coenders,et al.  Effect on Prices of the Attributes of Holiday Hotels: A Hedonic Prices Approach , 2003 .

[60]  Çağlayan Ebru,et al.  Determinants of house prices in Istanbul: a quantile regression approach , 2011 .

[61]  Peter O'Connor,et al.  User-Generated Content and Travel: A Case Study on Tripadvisor.Com , 2008, ENTER.

[62]  Jesse Rothstein,et al.  The Value of School Facility Investments: Evidence from a Dynamic Regression Discontinuity Design , 2010 .

[63]  Saad A. Alhoqail,et al.  How Online Product Reviews Affect Retail Sales: A Meta-analysis , 2014 .

[64]  Robertico R. Croes,et al.  Market accessibility and hotel prices in the Caribbean: The moderating effect of quality-signaling factors , 2016 .

[65]  Steven Skiena,et al.  International Sentiment Analysis for News and Blogs , 2021, ICWSM.

[66]  L. Mobley Estimating hospital market pricing: an equilibrium approach using spatial econometrics: , 2003 .

[67]  Lorin M. Hitt,et al.  Price Effects in Online Product Reviews: An Analytical Model and Empirical Analysis , 2010, MIS Q..

[68]  Finn Årup Nielsen,et al.  A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs , 2011, #MSM.

[69]  B. Pan,et al.  A retrospective view of electronic word-of-mouth in hospitality and tourism management , 2017 .

[70]  Rob Law,et al.  Effect of sharing economy on tourism industry employment. , 2016 .

[71]  S. Rosen,et al.  Monopoly and product quality , 1978 .

[72]  Richard K. Green,et al.  Age, Housing Demand, and Real House Prices , 1996 .

[73]  N. Nohria,et al.  Are leaders portable? , 2006, Harvard business review.

[74]  J. Nicolau,et al.  The quality of quality awards: Diminishing information asymmetries in a hotel chain , 2010 .

[75]  G. Fraquelli,et al.  When quality signals talk: Evidence from the Turin hotel industry , 2011 .

[76]  B. Gu,et al.  The impact of online user reviews on hotel room sales , 2009 .

[77]  Oren Etzioni,et al.  Extracting Product Features and Opinions from Reviews , 2005, HLT.

[78]  Yong Liu Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .