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Sampling units for the 2013 Methods-of-Payment survey were selected through an approximate stratified two-stage sampling design. To compensate for nonresponse and noncoverage and ensure consistency with external population counts, the observations are weighted through a raking procedure. We apply bootstrap resampling methods to estimate the variance, allowing for randomness from both the sampling design and raking procedure. We find that the variance is smaller when estimated through the bootstrap resampling method than through the naive linearization method, where the latter does not take into account the correlation between the variables used for weighting and the outcome variable of interest.

The Heckman two-step estimator (Heckit) for the selectivity model is widely applied in Economics and other social sciences. In this model a non-zero outcome variable is observed only if a latent variable is positive. The asymptotic covariance matrix for a two-step estimation procedure must account for the estimation error introduced in the first stage. We examine the finite sample size of tests based on alternative covariance matrix estimators. We do so by using Monte Carlo experiments to evaluate bootstrap generated critical values and critical values based on asymptotic theory.

Nearest neighbor imputation has a long tradition for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the nearest neighbor imputation estimator for general population parameters, including population means, proportions and quantiles. For variance estimation, we propose novel replication variance estimation, which is asymptotically valid and straightforward to implement. The main idea is to construct replicates of the estimator directly based on its asymptotically linear terms, instead of individual records of variables. The simulation results show that nearest neighbor imputation and the proposed variance estimation provide valid inferences for general population parameters.

In order to determine the status quo of PLS path modeling in international marketing research, we conducted an exhaustive literature review. An evaluation of double-blind reviewed journals through important academic publishing databases (e.g., ABI/Inform, Elsevier ScienceDirect, Emerald Insight, Google Scholar, PsycINFO, Swetswise) revealed that more than 30 academic articles in the domain of international marketing (in a broad sense) used PLS path modeling as means of statistical analysis. We assessed what the main motivation for the use of PLS was in respect of each article. Moreover, we checked for applications of PLS in combination with one or more additional methods, and whether the main reason for conducting any additional method(s) was mentioned.

Dissatisfaction with the current federal tax system is fostering serious interest in several tax reform plans such as a value-added tax (VAT), a flat tax, and a national retail sales tax. Recently, one of the former Republican presidential candidates, Herman Cain, initiated a 999 tax plan. As illustrated on Cain’s official website, the 999 plan intends to replace current federal taxes with a 9% business flat tax, a 9% individual flat tax, and a 9% national sales tax. We examine the distributional effects of the 999 tax plan, as well as the current system it intends to replace, under both annual income and lifetime income approaches. Global measures of progressivity and bootstrap-t confidence intervals suggest that the current federal tax system is progressive while Cain’s 999 tax plan is regressive under the annual income approach. Under the lifetime income approach, both the current federal tax system and Cain’s 999 tax plan show progressivity. However, the current federal tax system is more progressive. The findings in this study suggest that Cain’s 999 tax plan should be considered more seriously and further analysis of the 999 tax plan is warranted.

There is a growing literature in nonparametric econometrics in the recent two decades. Given the space limitation, it is impossible to survey all the important recent developments in nonparametric econometrics. Therefore, we choose to limit our focus on the following areas. In Section 2, we review the recent developments of nonparametric estimation and testing of regression functions with mixed discrete and continuous covariates. We discuss nonparametric estimation and testing of econometric models for nonstationary data in Section 3. Section 4 is devoted to surveying the literature of nonparametric instrumental variable (IV) models. We review nonparametric estimation of quantile regression models in Section 5. In Sections 2–5, we also point out some open research problems, which might be useful for graduate students to review the important research papers in this field and to search for their own research interests, particularly dissertation topics for doctoral students. Finally, in Section 6 we highlight some important research areas that are not covered in this paper due to space limitation. We plan to write a separate survey paper to discuss some of the omitted topics.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

As proposed in this paper, in public accounting firms, supervisors and managers provide junior accountants with career-related benefits that include: career development support; social support; and role modeling. Also, employees who receive such career-related benefits are more likely to believe that the firm provides career growth opportunities and more likely to trust their managers. Career growth opportunities and trust, in turn, positively affect organizational commitment, which reduces turnover intentions. In summary, the relation between career benefits and turnover is mediated by several variables: career growth opportunities, trust in managers, and organizational commitment. Results of a survey of junior employees in public accounting firms support these assertions (with the exception of social support).

This study explores auditors’ professional attitudes and behaviours. It tests the influence of public interest commitment, independence enforcement beliefs and organisational ethical culture on auditors’ acceptance of and engagement in practices that compromise their objectivity. The study is based on survey responses of 122 Spanish auditors. To analyse the combined effect of the variables under study, variance-based structural equation modelling (partial least squares, PLS) was employed. The results suggest that the regulatory efforts to improve auditors’ behaviours by enforcing independence rules have been internalised by auditors. The results also reinforce the need to instil the societal responsibilities of professional auditors, since auditors’ public interest commitment is related to their ethical decision making. Furthermore, this study reveals that firms’ ethical cultures influence auditors’ commitment to the public interest, as well as their ethical decision making. The study raises practical implications for auditing professionals, regulators and audit firms. Understanding auditors’ beliefs and behavioural patterns is critical to proposing mechanisms that enhance their ethical behaviours, which could ultimately enhance audit quality. The chapter contributes to the field by analysing the combined effect of the regulatory framework and organisational context on auditors’ professional values and behaviours.