Logistic regression with outcome and covariates missing separately or simultaneously

Hsieh, Shu Hui; Li, Chin‐Shang; Lee, Shen Ming

doi:10.1016/j.csda.2013.03.007

Cited by 11 publications

(11 citation statements)

References 13 publications

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“…Logistic regression is used to explain the relationship between a set of covariate or explanatory variables and a dichotomous response variable (Hsieh, Li, and Lee, 2013). Generally, such a regression is well suited for testing and describing the relationships between one or more categorical or continuous predictor variables and a categorical outcome variable (Peng, Lee, and Ingersoll, 2002).…”

Section: Methodsmentioning

confidence: 99%

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Socio-Demographic Determinants of Credit Rationing at Baitul Maal Wa Tamwil in Indonesia

Wulandari

2019

JIMF

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This study seeks to identify credit rationing socio-demographic determinants toIslamic microfinance to achieve welfare improving goals in three Bottom of theEconomic Pyramid (BOP) regions: Yogyakarta, East Lombok and Makassar, SouthSulawesi, Indonesia. Another primary focus of this study is to highlight the suggestedsolutions from Islamic microfinance practitioners to overcome the challenges in thepractice of credit rationing assessment. 2,650 borrowers at the BOP in 26 IslamicMicrofinance Institutions (MFIs) in Indonesia were selected based on cluster samplingand purposive sampling methods. A questionnaire is adapted from several previousstudies. Multinomial logistics regression is used in this paper. Results show that thedeterminant of credit rationing based on socio-demographic factors, reflecting certainsocio-demographic factors that include age, gender, account balance, dependents,salary, monthly income, formal education, access to financing facility in the previousyear, distance, and years of saving, has significant influence on the probability ofgetting financing. Thus, in order to reduce the credit-rationing problem, the majorimplications from this study are that Baitul Maal wa Tamwil (BMT) should enhancethe participation of women, using monthly income rather than salary determinants,provide credit plus financing and realize a one village one BMT program. The solutionswould enhance the participation of BOP borrowers at BMT.

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Section: Methodsmentioning

confidence: 99%

“…Turvey et al (2011);Vitor et al (2014) Proximity(distance) There is no influence of distance between borrowers and lenders to credit rationingPapias and Ganesan (2010);Vitor et al (2014);Li et al (2013) The case in formal MFI:…”

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confidence: 99%

Socio-Demographic Determinants of Credit Rationing at Baitul Maal Wa Tamwil in Indonesia

Wulandari

2019

JIMF

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“…This study uses logistic regression model to analyze the impact of GCG scheme on household poverty alleviation. According to Hsieh and Lee (2013), logistic regression can be used to explain the relationship between a set of covariate or explanatory variables and a dichotomous response variable. This regression is well suited for testing and describing the relationship between one or more categorical or continuous predictor variables and a categorical outcome variable (Peng, Lee and Ingersoll, 2002).…”

Section: F Research Methodologymentioning

confidence: 99%

Government Credit Guarantee (Gcg) for the Improvement of People at the Bottom of the Economic Pyramid

Na¹

2019

eajebps

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The main objective of this study is to measure the impact of Government Credit Guarantee (GCG) scheme on household poverty alleviation. This study employed a cross-sectional design with purposive random sampling method to examine whether participation in GCG programs improves the hardcore poor households quality of life. To analyze the impact of GCG scheme on household poverty reduction, this study uses logistic regression model. The findings confirmed that households participating in GCG programs tend to have higher probability in reducing their poverty condition compared with those who have no access to GCG programs. The reduction in household poverty can be described by the improvement in their monthly income, improvement in monthly food expenditures, and improvement in monthly non-food expenditure. Therefore, Indonesian Government should review, re-organize and improve the GCG programs and policies in order to increase the outreach and improve client's ability to receive higher amount of loan through GCG scheme.A. Introduction

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“…We propose a joint conditional likelihood method that combines the validation and non-validation data to achieve higher efficiency. The method can be viewed as an extension of the methods of Wang et al (2002), Lee et al (2012), and Hsieh et al (2013). With a bit of algebra, it can be shown that the conditional probability of Y i given δ i = 1 is leftP(Yi=1|bold-italicXi,δi=1)=P(Yi = 1,δi = 1|Xi)P(Yi = 1,δi = 1|Xi)+P(Yi = 0,δi = 1|Xi)left=H{βTscriptXi + ln[1 − cc]}≡H+(bold-italicXi;β). Meanwhile, the principle of the non-validation likelihood method is to estimate β by using the probability of …”

Section: A Special Case Of the Proposed Methods And Design Considerationmentioning

confidence: 99%

An alternative to unrelated randomized response techniques with logistic regression analysis

Hsieh

Lee

et al. 2016

Stat Methods Appl

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The randomized response technique (RRT) is an important tool that is commonly used to protect a respondent’s privacy and avoid biased answers in surveys on sensitive issues. In this work, we consider the joint use of the unrelated-question RRT of Greenberg et al. (J Am Stat Assoc 64:520–539, 1969) and the related-question RRT of Warner (J Am Stat Assoc 60:63–69, 1965) dealing with the issue of an innocuous question from the unrelated-question RRT. Unlike the existing unrelated-question RRT of Greenberg et al. (1969), the approach can provide more information on the innocuous question by using the related-question RRT of Warner (1965) to effectively improve the efficiency of the maximum likelihood estimator of Scheers and Dayton (J Am Stat Assoc 83:969–974, 1988). We can then estimate the prevalence of the sensitive characteristic by using logistic regression. In this new design, we propose the transformation method and provide large-sample properties. From the case of two survey studies, an extramarital relationship study and a cable TV study, we develop the joint conditional likelihood method. As part of this research, we conduct a simulation study of the relative efficiencies of the proposed methods. Furthermore, we use the two survey studies to compare the analysis results under different scenarios.

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Logistic regression with outcome and covariates missing separately or simultaneously

Cited by 11 publications

References 13 publications

Socio-Demographic Determinants of Credit Rationing at Baitul Maal Wa Tamwil in Indonesia

Socio-Demographic Determinants of Credit Rationing at Baitul Maal Wa Tamwil in Indonesia

Government Credit Guarantee (Gcg) for the Improvement of People at the Bottom of the Economic Pyramid

An alternative to unrelated randomized response techniques with logistic regression analysis

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