The development of delinquency during adolescence: a comparison of missing data techniques revisited

Quality & Quantity - Conclusions about the individual development of delinquent behaviours during the life-course are often made by repeatedly interviewing the same respondents (i.e. panel...     

The development of delinquency during adolescence: a comparison of missing data techniques

Conclusions on the development of delinquent behaviour during the life-course can only be made with longitudinal data, which is regularly gained by repeated interviews of the same respondents. Missing data are a problem for the analysis of delinquent behaviour during the life-course shown with data from an adolescents’ four-wave panel. In this article two alternative techniques to cope with missing data are used: full information maximum likelihood estimation and multiple imputation. Both methods allow one to consider all available data (including adolescents with missing information on some variables) in order to estimate the development of delinquency. We demonstrate that self-reported delinquency is systematically underestimated with listwise deletion (LD) of missing data. Further, LD results in false conclusions on gender and school specific differences of the age–crime relationship. In the final discussion some hints are given for further methods to deal with bias in panel data affected by the missing process.     

A review of techniques for treating missing data in OM survey research

The treatment of missing data has been overlooked by the OM literature, while other fields such as marketing, organizational behavior, economics, statistics and psychometrics have paid more attention to the issue. A review of 103 survey-based articles published in the Journal of Operations Management between 1993 and 2001 shows that listwise deletion, which is often the least accurate technique of dealing with missing data, is heavily utilized by OM researchers. The paper also discusses the research implications of missing data, types of missing data and concludes with recommendations on which techniques should be used under different circumstances in order to improve the treatment of missing data in OM survey research.     

Correction to: Determinants of agricultural entrepreneurship: a GEM data based study

International Entrepreneurship and Management Journal - The original article has been corrected. The spelling of author name Amit Kumar Dviwedi was incorrect and has now been corrected to Amit...     

Toward a simple structure: a comparison of different rotation techniques

This paper thematise the problem of seeking and devising a simple structure, when the solution envisages the extraction of more than one component or factor. To this avail, we shall make a comparison between a number of rotation techniques, both orthogonal and oblique, to evaluate just how capable they are of delivering the highest possible semplification of the data yielded by the analysis. To evaluate the results obtained through empirical controls, we have drawn up a simple structure index. For reasons of space, we shall apply principal components analysis to our method, although the results obtained here also hold for factor analysis.     

The option value of tax delinquency: Theory

How taxes are enforced matters. Current enforcement of real property taxes does not consider the option value of delinquency: the ultimate penalty is confiscation of property sometime in the future, but the value of the property to be confiscated is not known with certainty. If redemption fees are sufficiently small, it can be optimal to wait and see what the size of the penalty will be before paying taxes. We show how this can lead to excessive abandonment, and examine proposals for reform.     

A comparison of multiple imputation with EM algorithm and MCMC method for quality of life missing data

This study investigated the performance of multiple imputations with Expectation-Maximization (EM) algorithm and Monte Carlo Markov chain (MCMC) method in missing data imputation. We compared the accuracy of imputation based on some real data and set up two extreme scenarios and conducted both empirical and simulation studies to examine the effects of missing data rates and number of items used for imputation. In the empirical study, the scenario represented item of highest missing rate from a domain with fewest items. In the simulation study, we selected a domain with most items and the item imputed has lowest missing rate. In the empirical study, the results showed there was no significant difference between EM algorithm and MCMC method for item imputation, and number of items used for imputation has little impact, either. Compared with the actual observed values, the middle responses of 3 and 4 were over-imputed, and the extreme responses of 1, 2 and 5 were under-represented. The similar patterns occurred for domain imputation, and no significant difference between EM algorithm and MCMC method and number of items used for imputation has little impact. In the simulation study, we chose environmental domain to examine the effect of the following variables: EM algorithm and MCMC method, missing data rates, and number of items used for imputation. Again, there was no significant difference between EM algorithm and MCMC method. The accuracy rates did not significantly reduce with increase in the proportions of missing data. Number of items used for imputation has some contribution to accuracy of imputation, but not as much as expected.     

The effect of corruption on firm investment in the presence of missing data

Greater availability of firm-level surveys in developing countries has enabled researchers to consider the effects of corruption at the firm level. One often overlooked issue with these surveys is nonresponse by firms. We examine the impact of corruption on firm investment and demonstrate that failing to account for nonresponse leads to an overestimation of the impact of corruption.     

Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures

Item nonresponse in survey data can pose significant problems for social scientists carrying out statistical modeling using a large number of explanatory variables. A number of imputation methods exist but many only deal with univariate imputation, or relatively simple cases of multivariate imputation, often assuming a monotone pattern of missingness. In this paper we evaluate a tree-based approach for multivariate imputation using real data from the 1970 British Cohort Study, known for its complex pattern of nonresponse. The performance of this tree-based approach is compared to mode imputation and a sequential regression based approach within a simulation study.     

Exemption laws and consumer delinquency and bankruptcy behavior: an empirical analysis of credit card data

In this paper, we examine how homestead, personal property, and garnishment exemption laws affect consumer’s delinquency and bankruptcy behavior by focusing on the credit card market. In particular, after controlling for credit supply and shock effects like unemployment we investigate whether consumer propensity for delinquency, formal bankruptcy, and informal bankruptcy changes with respect to the exemption levels those resident cardholders enjoy. Our results show that loose garnishment and property exemption laws increase delinquency. Furthermore, while loose garnishment and property exemption laws encourage informal bankruptcy, loose homestead and property exemption laws encourage formal bankruptcy. These results imply a certain degree of substitutability between formal and informal bankruptcy.     

Offering flexible working opportunities to people with mental disabilities: The missing link between sustainable development goals and financial implications

A global response to Covid-19 pandemic has triggered issues related to stress and social restrictions; thus, mental health is seen as a particular area of concern for social well-being for both policymakers and corporate regulators/companies. Given that mental health intersects with most, if not all, of the 17 sustainable development goals (SDGs), this research brought to light issues surrounding employment of people with mental disabilities (PWMDs) and the financial merits of employing them. An online survey was administered to PWMDs to elicit what possible flexible opportunities could enable them to gain or stay at work. Interviews were also conducted with human resource managers and financial managers. Our results show that there are currently no flexible working opportunities available for PWMDs, which could enable them work effectively to improve both self and general economic growth. The findings of this study will enable employers to explore the financial benefits of employing PWMDs and also aid the government to create better policies to boost employers' commitment to employing PWMDs and achieve some of the UN SDGs.     

The long and short of asking questions about income: a comparison using data from Hungary

A lot of research on income mobility and income inequality is based on survey questions about income. Various question formats are being used. Researchers seem to assume that the actual format used delivers the best estimate of the “true” income. However, surprisingly little empirical support is available for this claim. We implemented an experimental design using the short and long versions of income questions in a Hungarian survey. Results show an overall positive difference between the long and short version. The differences are related to the income components (wages and salaries, transfers, and assets), and respondent characteristics, controlling for the effect of the order of the two versions of income questions. Based on the results, we provide some recommendations for implementing income questions in surveys.     

Print versus electronic surveys: a comparison of two data collection methodologies

This paper compares the responses of consumers who submitted answers to a survey instrument focusing on Internet purchasing patterns both electronically and using traditional paper response methods. We present the results of a controlled experiment within a larger data collection effort. The same survey instrument was completed by 416 Internet customers of a major office supplies company, with approximately 60% receiving the survey in paper form and 40% receiving the electronic version. In order to evaluate the efficacy of electronic surveys relative to traditional, printed surveys we conduct two levels of analysis. On a macro-level, we compare the two groups for similarity in terms of fairly aggregate, coarse data characteristics such as response rates, proportion of missing data, scale means and inter-item reliability. On a more fine-grained, micro-level, we compare the two groups for aspects of data integrity such as the presence of data runs and measurement errors. This deeper, finer-grained analysis allows an examination of the potential benefits and flaws of electronic data collection.Our findings suggest that electronic surveys are generally comparable to print surveys in most respects, but that there are a few key advantages and challenges that researchers should evaluate. Notably, our sample indicates that electronic surveys have fewer missing responses and can be coded/presented in a more flexible manner (namely, contingent coding with different respondents receiving different questions depending on the response to earlier questions) that offers researchers new capabilities.     

Comparison of four common data collection techniques to elicit preferences

We compare four common data collection techniques to elicit preferences: the rating of items, the ranking of items, the partitioning of a given amount of points among items, and a reduced form of the technique for comparing items in pairs. University students were randomly assigned a questionnaire employing one of the four techniques. All questionnaires incorporated the same collection of items. The data collected with the four techniques were converted into analogous preference matrices, and analyzed with the Bradley–Terry model. The techniques were evaluated with respect to the fit to the model, the precision and reliability of the item estimates, and the consistency among the produced item sequences. The rating, ranking and budget partitioning techniques performed similarly, whereas the reduced pair comparisons technique performed a little worse. The item sequence produced by the rating technique was very close to the sequence obtained averaging over the three other techniques.     

Confirmatory factor analysis with missing data in a small sample: cognitive reserve in people with Down Syndrome

Quality & Quantity - The presence of missing data and small sample sizes are very common in social and health sciences. Concurrently to present a methodology to solve the small sample size and...     

Teamworking and Lean revisited: a reply to Carter et al.

This paper is a reply to Carter et al.’s response to an earlier paper of ours in this journal on the subject of teamworking under Lean in the UK public services . Our reply covers the following issues which Carter et al. have raised: the literature we used to structure our findings; the way in which we used concepts such as autonomy and teamworking; our research methods and approach; how Carter et al.’s newly available data on teamworking might be interpreted; and how data drawn from an official employee attitude survey might best be understood. On the basis of this, we conclude that Carter et al.’s paper fails to meet its objectives. On some things, the authors are simply wrong; on others, they grossly misrepresent our position; on still others, their interpretations are, at best, highly questionable.     

The managerial limit to the growth of Firms revisited

The Penrose Hypothesis that managerial resources will grow at a rate somewhat faster than that of firm size is tested along with the alternative steady‐state hypothesis that both grow at the same rate. A dynamic firm model is used to motivate the study. U.S. Department of Labor, Bureau of Labor Statistics' Occupational Employment Statistics are used to measure managerial resources. Firm size is in terms of employment, or real value added, or real value of shipments. The data cover the period 2003–2006 and are used with a Cobb‐Douglas type log‐form growth function. The statistical results are quite strongly in favor of the Penrose Hypothesis, suggesting a managerial limit to the rate of growth of the firm. Copyright © 2010 John Wiley & Sons, Ltd.     

Vertical quasi-integration revisited: The role of power

Vertical quasi-integration is differentiated from other forms of interfirm organization and the issue of power is examined drawing from the theoretical and empirical literature on interorganizational relations. The firm's power is described in terms of its dimensions and the various types of power which may be manifested under conditions of vertical quasi-integration are discussed. The nature of the link between power and dependence is considered and a number of influences are identified which may inhibit the effectiveness of power attempts in interfirm relationships.