Simplifying Bias Correction for Selective Sampling: A Unified Distribution-Free Approach to Handling Endogenously Selected Samples
Published Online:24 Jan 2022https://doi.org/10.1287/mksc.2021.1330
References
- (2001) Improving parameter estimates and model prediction by aggregate customization in choice experiments. J. Consumer Res. 28(2):273–283.Crossref, Google Scholar
- (1980) Statistical Methods in Cancer Research (International Agency for Research on Cancer, Lyon, France).Google Scholar
- (2009) Microeconometrics Using Stata (Stata Press, College Station, TX).Google Scholar
- (2007) A semiparametric odds ratio model for measuring association. Biometrics 63(2):413–421.Crossref, Google Scholar
- (2015) Likelihood inferences on semiparametric odds ratio model. J. Amer. Statist. Assoc. 110(511):1125–1135.Crossref, Google Scholar
- (2014) Essentials of Marketing Research: Putting Research into Practice (SAGE Publications, Thousands Oaks, CA).Google Scholar
- (1993) Estimation from endogenously stratified samples. Maddala CRGS, Vinod H, eds. Handbook of Statistics (Elsevier Science Publishers, Amsterdam), 1–43.Google Scholar
- (2013) Efficient semiparametric estimation for endogenously stratified regression via smoothed likelihood. J. Econometrics 177(1):116–129.Crossref, Google Scholar
- (2003) Selective sampling for binary choice models. J. Marketing Res. XL(4):492–497.Crossref, Google Scholar
- (1995) Estimating social welfare using count data models: An application to long-run recreation demand under conditions of endogenous stratification and truncation. Rev. Econom. Statist. 77(1):104–112.Crossref, Google Scholar
- (2012) Modern Marketing Research: Concepts, Methods and Cases (Thomson Academic Publishing, Mason, OH).Google Scholar
- (2016) When random assignment is not enough: Accounting for item selectivity in experimental research. Marketing Sci. 35(6):976–994.Link, Google Scholar
- (2018) Fusion modeling. Homburg C, Klarmann M, Vomberg A, eds. Handbook of Marketing Research (Springer, New York), 147–180.Crossref, Google Scholar
- (1961) The use of extreme groups to test for the presence of a relationship. Psychometrika 26(3):307–316.Crossref, Google Scholar
- (1981) Stratification on endogenous variables and estimation: The Gary income maintenance experiment. Manski C, McFadden DE, eds. Structural Analysis of Discrete Data with Econometric Applications (MIT Press, Cambridge, MA), 365–391.Google Scholar
- (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.Crossref, Google Scholar
- . (2005) Choice models and customer relationship management. Marketing Lett. 16(3):279–291.Crossref, Google Scholar
- (2020) Statistical Analysis with Missing Values, 3rd ed. (John Wiley, New York).Google Scholar
- (1989) Generalized Linear Models (Chapman and Hall, New York).Crossref, Google Scholar
- (2000) The Heckman correction for sample selection and its critique. J. Econom. Survey 14(1):53–68.Crossref, Google Scholar
- (2011) No customer left behind: A distribution-free Bayesian approach to accounting for missing xs in marketing models. Marketing Sci. 30(4):717–736.Link, Google Scholar
- (2014) Which brand purchasers are lost to counterfeiters? An application of new data fusion approaches. Marketing Sci. 33(3):437–448.Link, Google Scholar
- (2015) Driving more effective data-driven innovations: Enhancing the utility of secure catabases. Management Sci. 61(3):520–541.Link, Google Scholar
- (1997) Fitting regression models to case-control data by maximum likelihood. Biometrika 84(1):57–71.Crossref, Google Scholar
- (1988) On-site samples’ regression: Problems of non-negative integers, truncation and endogenous stratification. J. Econometrics 37(2):211–223.Crossref, Google Scholar
- (2009) Approximating the distribution of recreational visits from on-site survey data. J. Environmental Management 90(5):1850–1853.Crossref, Google Scholar
- (2020) Optimizing price menus for duration discounts: A subscription selectivity field experiment. Marketing Sci. 39(6):1033–1201.Link, Google Scholar
- (2013) Successive sample selection and its relevance for management decisions. Marketing Sci. 32(1):170–185.Link, Google Scholar
- (2012) Measuring the impact of nonignorability in panel data with non-monotone nonresponse. J. Appl. Econometrics 27(1):129–159.Crossref, Google Scholar
- (2006) Leveraging missing ratings to improve online recommendation systems. J. Marketing Res. 43(3):355–365.Crossref, Google Scholar
- (2020) A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data. Statist. Medicine 39(20):2589–2605.Crossref, Google Scholar

