CPA credential perceptions: a case study of Hispanic accountants

One of the recommendations of The Pathways Commission report was to increase the number of diverse entrants into the accounting profession. While the Commission’s recommendation is commendable, the lack of diversity in the accounting profession is not a new problem. Hence, the accounting profession has attempted to address the underrepresentation of minority Certified Public Accountants (CPAs) for many years. To this end, organizations such as American Institute of CPAs (AICPA), National Association of Black Accountants (NABA), Association of Latino Professionals in Finance and Accounting (ALPFA), and the Ph.D. Project have provided different types of support to alleviate the problem. However, the numbers are still disturbingly low. This is particularly true for Hispanic accountants. Therefore, the purpose of this study was to examine Hispanic accountants’ perception of the CPA credential. While the results indicate that gender, exam affordability, and job incentives are positively associated with the likelihood of being a CPA, the 150-hour requirement was not perceived as a hindrance for certification.     

The half‐empty office: dilemmas in managing locational flexibility

Through a case study contrasting the impacts of formalised and informal teleworking practices on office‐based workers, multidimensional dilemmas between flexibility, control and equity are uncovered. Formal schemes, although problematic and rare, possess some advantages in resolving the three dimensions. A model is proposed to test findings further.     

A Review of Longitudinal Research in the Product Innovation Field,with Discussion of Utility and Conduct of Sequence Analysis

This paper examines how longitudinality is investigated in innovation research. A review of longitudinal methods in innovation articles, published between 2000 and 2011, is undertaken. Our findings show that longitudinal approaches to data collection are gaining some credence, in line with increased criticism of the overuse of positivist methods to study process‐based phenomena. However, results demonstrate a dearth of systematic longitudinal analytical methods employed in product innovation research. Static analytical methods are prominent. These inevitably lead to static presentation of results, and this is borne out in our findings. Second, the paper discusses the conduct and utility of a specific technique for product innovation research: sequence analysis. By drawing on two studies, which apply sequence analysis in product innovation research, sequence analysis is shown to be a useful technique to achieve rigor in analyzing longitudinal data. The paper concludes by discussing how such systematic methods for analyzing longitudinality in the innovation field demand greater usage and exploration.     

House price dynamics: Evidence from Beijing

To study the house price dynamics in China, this paper extends the traditional life-cycle model by incorporating land supply, regime shifts and government regulation factors. The models are estimated with an error correction framework using quarterly data from 2000 to 2007 in Beijing. The conclusions are as follows. (1) There exits a stable co-integration relationship between house price and fundamentals; land supply and financial regimes are also important determinants of long-run equilibrium house prices. (2) Short-run dynamics depend on changes of fundamentals and the adjustment process of housing market. Land supply has a significant impact on house price fluctuations while demand factors such as user costs, income and residential mortgage loan have greater influences. The adjustment speed of real house prices to the long-run equilibrium has been reduced significantly since 2005 which means exogenous shocks can cause prolonged deviation of real house prices from the equilibrium level.     

How do Firms’ Outward FDI Strategies Relate to their Activity at Home? Empirical Evidence for the UK

This paper provides new empirical evidence on the relationship between the structure of firms’ overseas FDI and the performance and organisation of their home‐country operations in both manufacturing and business services. It addresses two questions. First, does sorting into multinational status on the basis of productivity extend to the scale of overseas activity? Second, is there evidence that off‐shoring to low‐wage countries has asymmetric effects on high and low‐skill activities in the home economy? The paper considers heterogeneity in firms’ outward FDI strategies and in their behaviour at home, distinguishing between low‐skill and high‐skill‐intensive activities. I differentiate between firms that invest in relatively low‐wage economies and hence might be engaged in vertical FDI, and those that only invest in high‐wage economies. I find that firms that invest in low‐wage economies simultaneously invest in a large number of high‐wage economies, employing complex FDI strategies. I add to existing evidence by demonstrating that selection into multinational status on productivity extends beyond the decision of whether or not to engage in FDI, to the geographic scope of overseas operations. This is consistent with the highest productivity firms being best able to overcome large fixed costs of establishing multiple overseas facilities. I find evidence consistent with differential effects of vertical FDI on firms’ high and low‐skill manufacturing activity in the UK. Relocating low‐skill activity to relatively low‐wage economies could enable a firm to expand output, with potential positive effects on investment, employment and output in complementary (high‐skill) activities at home. For firms investing in relatively low‐wage economies, I find that labour in these countries may substitute for relatively low‐skilled labour in the UK. In high‐skill manufacturing industries I find that multinationals that invest in low‐wage economies are larger, more capital intensive and more intensive in their use of intermediate inputs than other UK‐owned firms.     

Safety and loss prevention concerns for engineers in polymer facilities

Safety related problems encountered in the production and handling of materials using monomers in water based polymerization reactions are covered. It must be noted that the author's experience is specifically in acrylic monomers.     

Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models

Empirical studies of hedonic housing prices show that the spatial maximum likelihood estimation (MLE) method is preferable to the traditional ordinary least squares (OLS) hedonic method. Current computing capabilities restrict the MLE method to relatively small data sets. This paper circumvents this limitation by coupling the spatial MLE method with block bootstrapping, a form of Monte Carlo simulation that accounts for spatially dependent data. Blocks are created based on monthly and census tract information for resampling. For each month, we obtained 50 resamples of 750 observations from a data set of 15,727 residential properties to compare OLS and MLE empirical results. We find that the spatial MLE method consistently outperforms the traditional OLS method under these simulated conditions and that air quality matters irrespective of the method used.     

Investigating Treatment Effects of Participating Jointly in SNAP and WIC when the Treatment Is Validated Only for SNAP

The U.S. Department of Agriculture operates several food assistance programs aimed at alleviating food insecurity. We study whether participation in both participation in both SNAP and WIC alleviates food insecurity compared with participation in SNAP alone. We bound underlying causal effects by applying nonparametric treatment effect methods that allow for endogenous selection and underreported program participation when validation data are available for one program (treatment) but not the other. We estimate average treatment effects using data from the National Household Food Acquisition and Purchase Survey (FoodAPS). FoodAPS includes administrative data to validate SNAP participation. Information on local food prices allows us to construct a food expenditure‐based monotone instrumental variable that does not require a typical instrumental variable exclusion restriction. Under relatively weak monotonicity assumptions, we identify that the impact of participating in both programs relative to SNAP alone is strictly positive, suggesting that the programs are nonredundant. This evidence can support improved design and targeting of food programs.     

Product Market Reform and Innovation in the EU*

European Union countries have implemented widespread reforms to product markets to stimulate competition, innovation, and economic growth. We provide empirical evidence that the reforms carried out under the EU Single Market Programme (SMP) were associated with increased product market competition, as measured by a reduction in average profitability, and with a subsequent increase in innovation intensity and productivity growth for manufacturing sectors. Our analysis exploits exogenous variation in the expected impact of the SMP across countries and industries to identify the effects of reforms on average profitability, and the effects of profitability on innovation and productivity growth.     

Robotics in the early childhood classroom: learning outcomes from an 8-week robotics curriculum in pre-kindergarten through second grade

In recent years there has been an increasing focus on the missing “T” of technology and “E” of engineering in early childhood STEM (science, technology, engineering, mathematics) curricula. Robotics offers a playful and tangible way for children to engage with both T and E concepts during their foundational early childhood years. This study looks at N = 60 children in pre-kindergarten through second grade who completed an 8-week robotics curriculum in their classrooms using the KIWI robotics kit combined with a tangible programming language. Children were assessed on their knowledge of foundational robotics and programming concepts upon completion of the curriculum. Results show that beginning in pre-kindergarten, children were able to master basic robotics and programming skills, while the older children were able to master increasingly complex concepts using the same robotics kit in the same amount of time. Implications for developmentally appropriate design of technology, as well as structure and pace of robotics curricula for young children are addressed.