Elisabeth Honka

ORCID: 0000-0003-0435-4220
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About
Contact & Profiles
Research Areas
  • Consumer Market Behavior and Pricing
  • Digital Platforms and Economics
  • Economic and Environmental Valuation
  • Digital Marketing and Social Media
  • Consumer Retail Behavior Studies
  • Consumer Behavior in Brand Consumption and Identification
  • Decision-Making and Behavioral Economics
  • Opinion Dynamics and Social Influence
  • Digital Games and Media
  • Supply Chain and Inventory Management
  • Media Influence and Politics
  • Auction Theory and Applications
  • Complex Network Analysis Techniques
  • Wine Industry and Tourism
  • Media Studies and Communication
  • Marketing and Advertising Strategies
  • Insurance and Financial Risk Management
  • Gender, Feminism, and Media
  • FinTech, Crowdfunding, Digital Finance
  • Merger and Competition Analysis
  • Psychology of Social Influence
  • Game Theory and Applications
  • Pharmaceutical Economics and Policy
  • Wikis in Education and Collaboration
  • Taxation and Compliance Studies

Anderson University - South Carolina
2012-2025

University of California, Los Angeles
2015-2025

University of Chicago
2005

I estimate demand for auto insurance in the presence of two types market frictions: search and switching costs. develop an integrated utility‐maximizing model which consumers decide over how many companies to from company purchase. My modelling approach rationalizes observed consideration sets as being outcomes consumers' processes. find costs range $35 $170 average $40. Search are most important driver customer retention their elimination is main lever increase consumer welfare industry.

10.1111/1756-2171.12073 article EN The RAND Journal of Economics 2014-10-29

How does advertising influence consumer decisions and market outcomes? We utilize detailed data on shopping behavior choices over bank accounts to investigate the effects of different stages process: awareness, consideration, choice. formulate a structural model with costly search endogenous consideration sets, show that in U.S. banking industry is primarily shifter awareness as opposed or Advertising makes consumers aware more options, more, find better alternatives. This increases share...

10.1111/1756-2171.12188 article EN The RAND Journal of Economics 2017-08-01

We study the identification of search method consumers use when resolving uncertainty in prices alternatives. show that method—simultaneous or sequential—is identified with data on consumers’ consideration sets (but not sequence searches), for considered alternatives and marketwide price distributions. comes from differences patterns actual across methods. also provide a new estimation approach sequential model uses such data. Using consumer shopping behavior U.S. auto insurance industry...

10.1287/mksc.2016.0995 article EN Marketing Science 2016-08-01

Researchers are increasingly able to observe consumers' behavior prior a purchase, such as their navigation through store or website and the products they consider. Such pre-purchase (or search) data can be valuable researchers in variety of ways: an additional source information estimate consumer preferences, understand how firms influence search process marketing mix variables, analyze limited about affects equilibrium market outcomes. We provide overview these three research areas with...

10.1016/j.jretai.2024.02.003 article EN cc-by Journal of Retailing 2024-03-01

This paper studies how word of mouth and product adoptions from friends the whole community affect individuals’ adoption decisions in context anime.

10.1287/mksc.2019.1155 article EN Marketing Science 2019-07-01

This paper documents that consumers frequently take breaks during their search (“search gaps”) and develops estimates a model rationalizes gaps caused by consumer fatigue.

10.1287/mksc.2022.1359 article EN Marketing Science 2022-03-22

In many markets, consumers visit stores and physically inspect products before making purchase decisions. We view the inspection of a product at retail location as search for fit. quantify cost benefit from searching fit using discrete choice model demand with optimal sequential search. these models, is measured by standard deviation has, heretofore, been fixed to one in estimation. show that, an exogenous shifter, both can be separately estimated. Our empirical setting U.S. automotive...

10.1007/s11129-020-09229-4 article EN public-domain Quantitative Marketing and Economics 2020-10-26

We provide a detailed overview of the empirical implementation sequential search model proposed by Weitzman (1979). discuss assumptions underlying model, identifica-tion cost and preference parameters, necessary normalizations utility counterfactuals that require framework, different estimation approaches. The goal this paper is to consolidate knowledge unified treatment various aspects models are relevant for work.

10.2139/ssrn.4357557 article EN SSRN Electronic Journal 2023-01-01

Many social platforms have recently enabled users to tip online content creators. We investigate how individuals decide whether and much Our novel data come from an board game platform, on which create consume content, react can sell purchase games. A unique aspect of our is that we observe all tipping incidences since the introduction platform. develop a model in make decisions as function their beliefs about evolving norm, quality, user characteristics, other factors. Users' norm are based...

10.2139/ssrn.5020156 article EN SSRN Electronic Journal 2025-01-01

I estimate demand for auto insurance in the presence of two types market frictions: search and switching costs. develop an integrated utility-maximizing model which consumers decide over how many companies to from company purchase. My modeling approach rationalizes observed consideration sets as being outcomes consumers’ processes. find costs range $35 $170 average $40. Search are most important driver customer retention their elimination is main lever increase consumer welfare industry.

10.2139/ssrn.2023446 article EN SSRN Electronic Journal 2012-01-01

The authors study how strangers become friends within an evolving online social network. By modeling the coevolution of individual users’ friendship tie formations (when and with whom) their concurrent activities, uncover important drivers underlying individuals’ decisions and, at same time, quantify resulting peer effects on actions. They estimate model using a novel data set capturing continuous development network entire action histories results reveal that similarity (homophily)...

10.1177/00222437221107900 article EN Journal of Marketing Research 2022-06-06

We study the identification of search method consumers use when resolving uncertainty in prices alternatives. show that -- simultaneous or sequential is identified with data on consumers' consideration sets (but not sequence searches), for considered alternatives and market-wide price distributions are observed. comes from differences patterns actual across methods. also provide a new estimation approach model uses such data. Using consumer shopping behavior U.S. auto insurance industry...

10.2139/ssrn.2345449 article EN SSRN Electronic Journal 2013-01-01

Abstract The rapid adoption of online streaming and over-the-top services has fundamentally changed at-home entertainment media consumption given rise to new behaviors which are often characterized by a high intensity watching (e.g., binge-watching). In this paper, we investigate how the affects consumers’ engagement with franchises in two areas: personal interactive engagement. former involves franchise extensions latter concerns content generation related focal product they watched. Using...

10.1007/s11129-024-09283-2 article EN cc-by Quantitative Marketing and Economics 2024-06-25

We investigate the relationship between both advertising content and quantity several stages of consumers' decision-making, namely, unaided aided awareness, consideration, purchase. Understanding how amount advertisements affect decision-making is crucial for companies to effectively efficiently use their budgets. Spanning a time period from 2010 2016, we combine unique data set on TV quantities with individual-level containing information purchases, consideration awareness sets, demographic...

10.2139/ssrn.3706665 article EN SSRN Electronic Journal 2020-01-01

How does advertising influence consumer decisions and market outcomes? We utilize detailed data on shopping behavior choices over bank accounts to investigate the effects of different stages process: awareness, consideration, choice. formulate a structural model with costly search endogenous consideration sets, show that in U.S. banking industry is primarily shifter awareness as opposed or Advertising makes consumers aware more options, find better alternatives. This increases share smaller...

10.2139/ssrn.2661659 article EN SSRN Electronic Journal 2015-01-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.2798962 article EN SSRN Electronic Journal 2016-01-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4444774 article EN SSRN Electronic Journal 2023-01-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4580732 article EN SSRN Electronic Journal 2023-01-01

Researchers are increasingly able to observe consumers' behavior prior a purchase, such as their navigation through store or website and the products they consider. Such pre-purchase (or search) data can be valuable researchers in variety of ways: an additional source information estimate consumer preferences, understand how firms influence search process marketing mix variables, analyze limited about shapes market outcomes. We provide overview these three areas with particular emphasis on...

10.2139/ssrn.4623968 article EN SSRN Electronic Journal 2023-01-01

In many markets, consumers visit stores and physically inspect products before making purchase decisions. We view the inspection of a product at retail location as search for fit. quantify cost benefit from searching fit using discrete choice model demand with optimal sequential search. these models, is measured by standard deviation has, heretofore, been fixed to one in estimation. show that, an exogenous shifter, both can be separately estimated. Our empirical setting U.S. automotive...

10.2139/ssrn.3499305 article EN SSRN Electronic Journal 2019-01-01

10.1007/s11129-024-09291-2 article EN cc-by Quantitative Marketing and Economics 2024-12-19
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