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Sample selection bias in credit scoring models
2 references·16 citing·48 second hop
Sample selection bias in credit scoring models (2003)Sample selection bias in credit scoring m…An econometric analysis of the bank credit scoring problem (1989)An econometric analysis of th…The demand for deductibles in private health insurance (1981)The demand for deductibles in…Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Consumer credit risk assessme…Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy (2023)Against Predictive Optimizati…The drivers of employee creativity and organizational innovation: a dynamic capability view (2021)The drivers of employee creat…Examining the effect of training and employee creativity on organizational innovation: a moderated mediation analysis (2021)Examining the effect of train…Deep generative models for reject inference in credit scoring (2020)Deep generative models for re…What does your Facebook profile reveal about your creditworthiness? Using alternative data for microfinance (2018)What does your Facebook profi…Classification methods applied to credit scoring: Systematic review and overall comparison (2016)Classification methods applie…A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models (2015)A comparative analysis of the…The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements (2013)The application of brute forc…Genetic programming for credit scoring: The case of Egyptian public sector banks (2009)Genetic programming for credi…Default Predictors and Credit Scoring Models for Retail Banking (2009)Default Predictors and Credit…Reject inference, augmentation, and sample selection (2007)Reject inference, augmentatio…Lending policies of informal, formal and semiformal lenders (2007)Lending policies of informal,…The impact of sample bias on consumer credit scoring performance and profitability (2005)The impact of sample bias on …Good practice in retail credit scorecard assessment (2005)Good practice in retail credi…Does reject inference really improve the performance of application scoring models? (2003)Does reject inference really …The Utility Analysis of Choices Involving Risk (1948)Risk Aversion in the Small and in the Large (1964)Risk Aversion in the Small and in the Large (1976)Gender and the Career Choice Process: The Role of Biased Self‐Assessments (2001)Does Market Experience Eliminate Market Anomalies? (2003)Modeling Ordered Choices (2010)The Estimation of Choice Probabilities from Choice Based Samples (1977)Predicting criminal recidivism using ‘split population’ survival time models (1989)Testing for Liquidity Constraints in Euler Equations with Complementary Data Sources (1998)A stochastic frontier model with correction for sample selection (2009)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial performance and distress profiles. 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this work references cited by second hop

References

  • 1981The demand for deductibles in private health insurance1,367 cited
  • 1989An econometric analysis of the bank credit scoring problem284 cited

Cited by

  • 2009Genetic programming for credit scoring: The case of Egyptian public sector banks120 cited
  • 2005Good practice in retail credit scorecard assessment117 cited
  • 2003Does reject inference really improve the performance of application scoring models?88 cited
  • 2007Reject inference, augmentation, and sample selection81 cited
  • 2013The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements81 cited
  • 2007Lending policies of informal, formal and semiformal lenders79 cited
  • 2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited
  • 2016Classification methods applied to credit scoring: Systematic review and overall comparison68 cited
  • 2005The impact of sample bias on consumer credit scoring performance and profitability66 cited
  • 2023Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy58 cited
  • 2020Deep generative models for reject inference in credit scoring53 cited
  • 2018What does your Facebook profile reveal about your creditworthiness? Using alternative data for microfinance

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52 cited
  • 2021Examining the effect of training and employee creativity on organizational innovation: a moderated mediation analysis48 cited
  • 2021The drivers of employee creativity and organizational innovation: a dynamic capability view45 cited
  • 2009Default Predictors and Credit Scoring Models for Retail Banking44 cited
  • 2015A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models43 cited