Missing price and coupon availability data in scanner panels: Correcting for the self-selection bias in choice model parameters

1998 ◽  
Vol 89 (1-2) ◽  
pp. 177-196 ◽  
Author(s):  
Tülin Erdem ◽  
Michael P. Keane ◽  
Baohong Sun
Keyword(s):  
Selection Bias ◽  
Choice Model ◽  
The Self ◽  
Model Parameters ◽  
Self Selection

Reviews and Self-Selection Bias with Operational Implications

2021 ◽  
Author(s):  
Ningyuan Chen ◽  
Anran Li ◽  
Kalyan Talluri
Keyword(s):  
Selection Bias ◽  
Operations Management ◽  
Choice Model ◽  
Theoretical Models ◽  
Empirical Literature ◽  
Service Firms ◽  
Performance Review ◽  
Self Selection ◽  
Ex Post ◽  
Biased Ratings

Reviews for products and services written by previous consumers have become an influential input to the purchase decision of customers. Many service businesses monitor the reviews closely for feedback as well as detecting service flaws, and they have become part of the performance review for service managers with rewards tied to improvement in the aggregate rating. Many empirical papers have documented a bias in the aggregate ratings, arising because of customers’ inherent self-selection in their choices and bounded rationality in evaluating previous reviews. Although there is a vast empirical literature analyzing reviews, theoretical models that try to isolate and explain the bias in ratings are relatively few. Assuming consumers simply substitute the average rating that they see as a proxy for quality, we give a precise characterization of the self-selection bias on ratings of an assortment of products when consumers confound ex ante innate preferences for a product or service with ex post experience and service quality and do not separate the two. We develop a parsimonious choice model for consumer purchase decisions and show that the mechanism leads to an upward bias, which is more pronounced for niche products. Based on our theoretical characterization, we study the effect on pricing and assortment decisions of the firm when potential customers purchase based on the biased ratings. Our results give insights into how quality, prices, and customer feedback are intricately tied together for service firms. This paper was accepted by David Simchi-Levi, operations management.

scholarly journals Surveillance of CKD epidemiology in the US – a joint analysis of NHANES and KEEP

2018 ◽  
Author(s):  
OB Myers ◽  
VS Pankratz ◽  
KC Norris ◽  
JA Vassalotti ◽  
M Unruh ◽  
...  
Keyword(s):  
Selection Bias ◽  
Large Scale ◽  
The United States ◽  
The Self ◽  
Joint Analysis ◽  
Web Surveys ◽  
Early Evaluation ◽  
Self Selection ◽  
Stage 4 ◽  
Ckd Stage

AbstractChronic Kidney Disease (CKD), is highly prevalent in the United States. Epidemiological systems for surveillance of CKD rely on data that are based solely on the NHANES survey, which does not include many patients with the most severe and less frequent forms of CKD. We investigated the feasibility of estimating CKD prevalence from the large-scale community disease detection Kidney Early Evaluation and Program (KEEP, n = 127,149). We adopted methodologies from the field of web surveys to address the self-selection bias inherent in KEEP. Primary outcomes studied were CKD Stage 3-5 (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73m2, and CKD Stage 4-5 (eGFR <30 mL/min/1.73m2). The unweighted prevalence of Stage 4-5 CKD was higher in KEEP (1.00%, 95%CI: 0.94-1.05%) than in NHANES (0.51%, 95% CI: 0.43-0.59%). Application of a selection model with IPW of variables related to demographics, recruitment and socio-economic factors resulted in estimates similar to NHANES (0.55%, 95% CI: 0.50-0.60%). Weighted prevalence of Stages 3-5 CKD in KEEP was 6.45% (95% CI: 5.70 7.28%) compared to 6.73% (95% CI: 6.30-7.19%) for NHANES. Application of methodologies that address the self-selection bias in the KEEP program may allow the use of this large, geographically diverse dataset for CKD surveillance.

The impact of individual quotas on technical efficiency: does quality matter?

2010 ◽  
Vol 15 (5) ◽  
pp. 585-607 ◽  
Author(s):  
JORGE DRESDNER ◽  
NÉLYDA CAMPOS ◽  
CARLOS CHÁVEZ
Keyword(s):  
Technical Efficiency ◽  
Selection Bias ◽  
Positive Impact ◽  
The Self ◽  
Quality Changes ◽  
Efficiency Gains ◽  
Self Selection ◽  
Two Samples ◽  
The Impact

ABSTRACTWe estimate the technical efficiency gains of introducing individual quotas (IQs) in fisheries. Our estimates are based on two samples of vessels, considering a potential self-selection bias and controlling for quality changes in landings induced by the IQ system. The results suggest that the introduction of IQs has an important positive impact on fleet efficiency, and that properly measuring this impact requires controlling for the self-selection bias and quality changes induced by the regulatory shift.

scholarly journals Political Connections and Stock Price Crash Risk: Empirical Evidence from the Fall of Suharto

2019 ◽  
Vol 7 (3) ◽  
pp. 49
Author(s):  
Harymawan ◽  
Lam ◽  
Nasih ◽  
Rumayya
Keyword(s):  
Selection Bias ◽  
Stock Price ◽  
The Self ◽  
Political Connections ◽  
Crash Risk ◽  
Firm Level ◽  
Self Selection ◽  
The Difference ◽  
Firm Structures ◽  
The Relationship

This study examines the relationship between firm-level political connections and stock price crash risk in Indonesia. It employs the difference-in-difference design to deal with the self-selection bias issue regarding the choice of the firms to become a politically connected firm. We use the sudden resignation of the former President of Indonesia, Suharto, to show that politically connected firms are associated with lower stock price crash risk and that the risk for these politically connected firms increased after Suharto resigned. Furthermore, we found evidence that these negative associations are more pronounced in firms with more complex firm structures.

Econometrics of Economics and Human Biology

2016 ◽  
pp. 108-130
Author(s):  
Gregory Colman ◽  
Dhaval Dave
Keyword(s):  
Selection Bias ◽  
Causal Effect ◽  
Controlled Trial ◽  
Experimental Manipulation ◽  
The Self ◽  
Human Biology ◽  
Randomized Controlled ◽  
Self Selection ◽  
Independent Variable ◽  
The Ideal

Many questions arising in research in economics and human biology cannot be studied through experimental manipulation, making the ideal randomized controlled trial (RCT) infeasible. Often the only data available are observational, and the researcher must confront the challenge of the nonrandom choice of the independent variable, known as the self-selection problem. This chapter describes this selection bias and discusses the central econometric techniques that economists have in their arsenal to guide causal inference with nonexperimental data, with a particular focus on implementation and key identifying assumptions underlying each empirical strategy. Applications are drawn upon in which this selection bias is addressed. Also included in the chapter is a brief discussion of issues relating to treatment heterogeneity and methods that allow the causal effect to vary among persons, either by unobserved or observed characteristics, which may help reveal in which subsets of the population the estimable or interesting causal effect applies.

scholarly journals Victim–Offender Mediation and Reduced Reoffending: Gauging the Self-Selection Bias

2019 ◽  
Vol 66 (6-7) ◽  
pp. 949-972 ◽  
Author(s):  
Jiska Jonas-van Dijk ◽  
Sven Zebel ◽  
Jacques Claessen ◽  
Hans Nelen
Keyword(s):  
Randomized Controlled Trials ◽  
Selection Bias ◽  
The Self ◽  
Future Research ◽  
Controlled Trials ◽  
Total N ◽  
Randomized Controlled ◽  
Self Selection

Previous research suggests that participation in victim–offender mediation (VOM) can lower the risk of reoffending. However, no randomized controlled trials have been done to examine this effect of VOM. Given that participation in VOM is voluntary, previous studies likely suffer from self-selection bias. To address this bias, we compared reoffending rates of three different offender groups: offenders who participated in VOM; offenders who were willing to participate, but whose counterpart declined VOM; and offenders unwilling to participate (total N = 1,275). Results replicated that participation in VOM predicts lower reoffending rates and suggested that this effect is not solely due to a self-selection bias. Suggestions are made for future research to examine why VOM causes lower reoffending rates.

Speed vs. comfort: Testing the efficacy of a single question for predicting transit users’ route choices

2019 ◽  
Author(s):  
Joseph John Pyne Simons ◽  
Ilya Farber
Keyword(s):  
Data Collection ◽  
Efficient Method ◽  
Choice Task ◽  
The Self ◽  
Self Report ◽  
Model Parameters ◽  
Single Item ◽  
Alternative Approach ◽  
Single Question ◽  
Insight Into

Not all transit users have the same preferences when making route decisions. Understanding the factors driving this heterogeneity enables better tailoring of policies, interventions, and messaging. However, existing methods for assessing these factors require extensive data collection. Here we present an alternative approach - an easily-administered single item measure of overall preference for speed versus comfort. Scores on the self-report item predict decisions in a choice task and account for a proportion of the differences in model parameters between people (n=298). This single item can easily be included on existing travel surveys, and provides an efficient method to both anticipate the choices of users and gain more general insight into their preferences.

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