Using price distributions to estimate search costs

By Han Hong, M. Shum. 2006

342 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/aeaffba6f6617f8b668f338d351b43d40b82ae1b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

In Marketing

In Sociology and Political Science

Citations in the corpus

Advertising, Consumer Awareness, and Choice: Evidence from the U.S. Banking Industry (2017, methodology): “Although earlier literature developed search models without actually observing search in the data (e.g., Mehta, Rajiv, and Srinivasan, 2003; Hong and Shum, 2006), in the most recent search literature, search is observed in the data either directly through data on the consumers’ consideration sets…”
Competition in Pricing Algorithms (2020, methodology): “The model is a generalization of the Hotelling (1929) line.”
Power to Choose? An Analysis of Consumer Inertia in the Residential Electricity Market (2015, background): “Wolfram [1999], Borenstein, Bushnell, and Wolak [2002], Bushnell, Mansur, and Saravia [2008], Sweeting [2007], and Hortacsu and Puller [2008]).”
THE MORPHOLOGY OF PRICE DISPERSION (2015, neutral): “Hong and Shum (2006) documented the distribution of prices posted by online booksellers for four academic textbooks.”
Maximum Likelihood Estimation of Search Costs (2008, background): “In spite of this, the true distribution falls (for its most part) within the 90% confidence interval.(14)”
Online Demand Under Limited Consumer Search (2010, neutral): “In addition, the order in which these products are listed is determined by an Amazon.com algorithm that uses the frequency of same-session viewing of the focal product and the other products.1 Table 1 does not list all existing 300+ camcorder options and reflects the fact that some options are…”
What Makes Them Click: Empirical Analysis of Consumer Demand for Search Advertising (2012, methodology): “The model is related to the literature on consumer search (e.g., Hong and Shum (2006), Hortacsu and Syverson (2004)), the closest work being Kim, Albuquerque, and Bronnenberg (2010), which estimates online search for durable goods at Amazon.com.”
Search Frictions and Market Power in Negotiated-Price Markets (2019, background): “We can also compare our findings to those of Hortaçsu and Syverson (2004) and Hong and Shum (2006).”
How is the Mobile Internet Different (2012, methodology): “Future work may consider using a model of the underlying search process and structurally estimate search costs (e.g., Hong and Shum 2006, Hortaçsu and Syverson 2004 among others), provided they have data on user browsing patterns.”
An empirical model of search with vertically differentiated products (2011, methodology): “An alternative is to estimate the model by making parametric assumptions on the search cost distribution—since Hong and Shum (2006) find lower unit cost values for their parametrically estimated homogeneous goods sequential search model than those for their non-sequential search model, as a robustne”