Controlling For Self-Selection Bias In Evaluating The Impact of Microcredit Programs: Evidence from Asa Bangladesh

2020 ◽  
Vol 54 (4) ◽  
Author(s):  
M. Twyeafur Rahman
Keyword(s):  
Selection Bias ◽  
Self Selection ◽  
The Impact

Women on the board of directors and corporate tax aggressiveness in Australia

2016 ◽  
Vol 29 (3) ◽  
pp. 313-331 ◽  
Author(s):  
Grant Richardson ◽  
Grantley Taylor ◽  
Roman Lanis
Keyword(s):  
Board Of Directors ◽  
Selection Bias ◽  
Tax Avoidance ◽  
Multivariate Regression Analysis ◽  
Corporate Tax ◽  
Content Type ◽  
Tax Aggressiveness ◽  
Self Selection ◽  
The Board Of Directors ◽  
The Impact

Purpose This paper aims to investigate the impact of women on the board of directors on corporate tax avoidance in Australia. Design/methodology/approach The authors use multivariate regression analysis to test the association between the presence of female directors on the board and tax aggressiveness. They also test for self-selection bias in the regression model by using the two-stage Heckman procedure. Findings This paper finds that relative to there being one female board member, high (i.e. greater than one member) female presence on the board of directors reduces the likelihood of tax aggressiveness. The results are robust after controlling for self-selection bias and using several alternative measures of tax aggressiveness. Research limitations/implications This study extends the extant literature on corporate governance and tax aggressiveness. This study is subject to several caveats. First, the sample is restricted to publicly listed Australian firms. Second, this study only examines the issue of women on the board of directors and tax aggressiveness in the context of Australia. Practical implications This research is timely, as there has been increased pressure by government bodies in Australia and globally to develop policies to increase female representation on the board of directors. Originality/value This study is the first to provide empirical evidence concerning the association between the presence of women on the board of directors and tax aggressiveness.

The effect of grassland transfer on herders' livestock production and grazing intensity in Inner Mongolia and Gansu, China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaolong Feng ◽  
Jianjun Tang ◽  
Huanguang Qiu
Keyword(s):  
Quantile Regression ◽  
Selection Bias ◽  
Inner Mongolia ◽  
Grazing Intensity ◽  
Livestock Production ◽  
Impact Mechanism ◽  
Content Type ◽  
Self Selection ◽  
Heterogeneous Effects ◽  
The Impact

Purpose The purpose of this study is to understand the impact mechanism of grassland transfer on herders' production behaviour in pastoral areas. The impact of grassland transfer on herders' livestock production and grazing intensity is quantified.Design/methodology/approach Using the survey data collected for 356 herder households from Inner Mongolia and Gansu, China, quantile regression is employed to assess the heterogeneous effects of grassland transfer on livestock production and grazing intensity. To correct the potential self-selection bias of grassland transfer, the propensity score matching technique is used.Findings Results show that labour, percentage of livestock income and livestock stock are the main factors affecting herders' choice to transfer grassland. The positive effect of grassland transfer on livestock numbers on behalf of those who rented additional grassland is statistically significant but declines with livestock numbers. The sustainability-enhancing effect of grassland transfer on grazing intensity is significant, and the effect becomes larger amongst herder households with higher grazing intensity. The analysis on the impact mechanism shows that grassland transfer significantly promotes the adoption of sustainable grazing modes, such as rotational and seasonal rest grazing, which in turn increases herders' livestock numbers and decreases grazing intensity.Originality/value Few studies have empirically analysed the influence of grassland transfer on livestock numbers and grazing intensity. This study fills this gap by employing a quantile regression to assess the heterogeneous effects of grassland transfer on livestock numbers and grazing intensity, while accounting for self-selection bias. In addition, the authors have examined the influencing mechanisms under which grassland transfer impacts on livestock numbers and grazing intensity.

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.

Does Blind Tasting Work? Another Look

2019 ◽  
Vol 14 (3) ◽  
pp. 309-320
Author(s):  
Kevin W. Capehart
Keyword(s):  
Selection Bias ◽  
Self Selection ◽  
The Impact ◽  
Biased Estimates ◽  
Jel Classifications

AbstractA study entitled “Does Blind Tasting Work? Investigating the Impact of Training on Blind Tasting Accuracy and Wine Preference,” published in the Proceedings issues of this journal, analyzed the effects of training on blind wine tasting accuracy (Wang and Prešern, 2018). I point out two issues with that study and reanalyze their data. I find that the effects of training on accuracy are small, even without controlling for self-selection bias that may produce upwardly biased estimates. To the extent training works, it does not seem to work well and it may only work as a selection device. (JEL Classifications: C91, D83, L66)

Patients Who Attend Alone at a First Memory Consultation: Are They a Specific Population,or Is It an Instance of Confounding Bias?

2019 ◽  
Vol 81 (1-2) ◽  
pp. 81-86
Author(s):  
Pierre Koskas ◽  
Mouna Romdhani ◽  
Olivier Drunat
Keyword(s):  
Selection Bias ◽  
Confounding Bias ◽  
Significant Difference ◽  
Comparison Groups ◽  
Methodological Problems ◽  
Group 2 ◽  
The Impact ◽  
First Time ◽  
State Examination ◽  
Group 1

As commonly happens in epidemiological research, none of the reported studies were totally free of methodological problems. Studies have considered the influence of social relationships on dementia, but the mechanisms underlying these associations are not perfectly understood. We look at the possible impact of selection bias. For their first memory consultation, patients may come alone or accompanied by a relative. Our objective is to better understand the impact of this factor by retrospective follow-up of geriatric memory outpatients over several years. All patients over 70 who were referred to Bretonneau Memory Clinic for the first time, between January 2006 and 2018, were included in the study. The patients who came alone formed group 1, the others, whatever type of relative accompanied them, formed group 2. We compared the Mini-Mental State Examination (MMSE) scores of patients; and for all patients who came twice for consultation with at least a 60-day interval, we compared their first MMSE with the MMSE performed at the second consultation. In total, 2,935 patients were included, aged 79.7 ± 8.4 years. Six hundred and twenty-five formed group 1 and 2,310 group 2. We found a significant difference in MMSE scores between the 2 groups of patients; and upon second consultation in group 2, but that difference was minor in group 1. Our finding of a possible confounding factor underlines the complexity of choosing comparison groups in order to minimize selection bias while maintaining clinical relevance.

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.

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