THE PREDICTABILITY OF AGGREGATE CONSUMPTION GROWTH IN OECD COUNTRIES: A PANEL DATA ANALYSIS

We examine aggregate consumption growth predictability. We derive a dynamic consumption equation which encompasses relevant predictability factors: habit formation, intertemporal substitution, current income consumption and non‐separabilities between private consumption and both hours worked and government consumption. We estimate this equation for a panel of 15 OECD countries over the period 1972–2007, taking into account parameter heterogeneity, endogeneity and error cross‐sectional dependence using a GMM version of the common correlated effects mean group estimator. Small‐sample properties are demonstrated using Monte Carlo simulations. The estimation results support income growth as the only variable with significant predictive power for aggregate consumption growth. Copyright © 2013 John Wiley & Sons, Ltd.     

Improving the estimation of total factor productivity growth: capital operating time in a latent variable approach

Measuring labor and capital services accurately is essential to obtaining reliable estimates of production functions and total factor productivity (TFP) growth. Using data on the operating time of capital, a series that exists for the French business sector, greatly improves the measurement of effective capital services in production. The ensuing estimation results are consistent with Cobb–Douglas technology under constant returns to scale, with the factor elasticities not statistically different from their income shares. In the same framework, TFP growth is estimated as a latent variable and found to be less volatile than accounting residuals, negatively correlated with employment, and free of cyclicality. It is statistically best estimated as a first-order autoregressive process, with an autoregressive coefficient of 0.95. Total factor productivity growth was estimated to have declined steadily between the mid-1970s and mid-1990s, but the rate of decline has diminished since then.     

Corporate social responsibility reporting: A comprehensive picture?

This study develops a content analysis framework that provides information on the comprehensiveness of corporate social responsibility (CSR) reporting, an important aspect of social and environmental accountability. Comprehensive reporting, as defined here, requires three types of information for each disclosed CSR item: (i) vision and goals, (ii) management approach, and (iii) performance indicators. The feasibility of the framework to assess the comprehensiveness of CSR reporting is demonstrated using the 2005 annual reports of a sample of publicly traded Belgian companies. The content analysis reveals a low level of comprehensive reporting. This finding complements those of prior studies on the completeness of CSR reporting and, therefore, feeds the debate regarding the extent to which CSR reporting can be considered a mechanism for discharging social and environmental accountability.     

Sanac Inc.: From ABC to time-driven ABC (TDABC) – An instructional case

This case deals with the decision of Sanac Inc., a Belgian wholesale company, on whether to proceed with the implementation of an activity-based costing (ABC) system or switch to time-driven activity-based costing (TDABC). As a business consultant, you are hired to decide about the appropriate costing method. Your task is to decide which system the company should implement, given the desire of the president of the company to calculate profitability at the order and the customer level.     

The relationship between motivation,learning approaches,academic performance and time spent

Previous literature calls for further investigation in terms of precedents and consequences of learning approaches (deep learning and surface learning). Motivation as precedent and time spent and academic performance as consequences are addressed in this paper. The study is administered in a first-year undergraduate course. Results show that the accounting students have a slightly higher score for deep learning compared to surface learning. Moreover, high intrinsic motivation and extrinsic motivation have a significant positive influence on deep learning. Next, deep learning leads to higher academic performance; surface learning on the other hand leads to lower academic performance. The effect of deep learning on performance still holds, when we control for time spent, gender and ability. Consequently we can conclude that a deep learning approach is much more than ‘simply’ spending a lot of time on studying.     

Choice-based learning: lecture-based or team learning?

This study investigates choice-based learning as a choice between lecture-based or team learning in a large class at a large university in a European country. The study was designed as a between-subjects quasi-experiment where students were allocated their preferred learning approach. Data were collected for eight consecutive years (2008–2016). Based on quantitative and qualitative data, this study investigates the effect of choice-based learning on choice satisfaction, student selection and on student learning outcomes. The results show that team learning has a positive effect on learning outcomes. If students are faced with the choice, the majority select lecture-based learning. Additionally, both student groups are satisfied with their selected learning paths but selected them for specific reasons. Finally, choice-based learning provides job satisfaction for the instructors of both learning paths. These results can re-energize the ongoing discussion on why and how to engage students in learning activities.     

Assessing the impact of nocturia on health-related quality-of-life and utility: results of an observational survey in adults

Background and aim: The impact of nocturia (getting up at night to void) on health-related quality-of-life (HRQoL) is often under-estimated. This study investigated the relative burden in terms of HRQoL and utilities of nocturia in a real-world setting.

Methods: Patient data were collected from two surveys: a nocturia-specific, cross-sectional survey of physicians and their patients (DSP), and a general UK population health survey (HSFE). Utilities (EQ-5D-5L), productivity (Work Productivity and Activity Index), and the impact of nocturia symptoms (Nocturia Impact Diary and Overactive Bladder Questionnaires) were assessed against the number of voids. A robust linear regression model with propensity score weights was used to control for confounding factors in estimating utilities.

Results: Physician-recorded data were available from 8,738 patients across the US, Germany, Spain, France, and the UK; of these, 5,335 (61%) included patient-reported outcomes. In total, 6,302 controls were drawn from the two surveys and compared to 1,104 nocturia patients. Deterioration of HRQoL was associated with increasing number of night-time voids (p?p?p?Limitations: The cause of nocturia is multifactorial and the mostly elderly patients may have several concomitant diseases. The authors tried to adjust for the most common ones, but there may be diseases or unknown relationships not included.

Conclusions: Nocturia negatively affected HRQoL and patient utility. A clear effect is seen already at two voids per night. Every effort should, therefore, be made to reduce nocturia below the bother threshold of two voids per night.     

A replication note on unemployment in the OECD since the 1960s: what do we know?

Nickell et al. (Econ J 115(500):1–27, 2005) argue that unemployment rates cointegrate with labour market institutions in a panel of OECD countries. This paper replicates their Maddala–Wu panel cointegration test and shows that this test is only valid when (i) the number of countries tends to infinity and (ii) the underlying country-specific cointegration tests are independent. Their finding of cointegration does not survive when small sample properties and heterogeneous cross-sectional dependencies are taken into account. We acknowledge financial support from the Interuniversity Attraction Poles Program, Belgian Science Policy, contract no. P5/21. The usual disclaimer applies.     

Demographics and Business Cycle Volatility: A Spurious Relationship?

This paper replicates the estimation results of three studies on the impact of the age composition of the labor force on business cycle volatility and investigates whether they signal a meaningful long‐run relationship. We show that both the volatile‐age labor force share variable and the business cycle volatility measure exhibit non‐stationary behavior but find no robust evidence of cointegration. Hence the estimation results reported in the literature may be spurious. This conclusion is further supported by the finding that the strong relationship (i) disappears when cross‐sectional dependence is accounted for using the CCEP estimator and (ii) is highly sensitive to small changes in the composition of the sample, to data revisions, and to the exact definition of the volatile‐age labor share. Copyright © 2016 John Wiley & Sons, Ltd.     

The Importance of Mutual Understanding Between External Accountants and Owner–Managers of SMEs

This study investigates the perspective of the owner–manager of a small or medium‐sized enterprise (SME) on the importance of mutual understanding with an external accountant. Mutual understanding means that the owner–manager understands what the accountant is saying and feels understood by the accountant. The results, based on 310 completed surveys of Belgian owner–managers, show that owner–managers who have a high level of mutual understanding use the advice of their external accountant more extensively. This is in turn positively linked to the financial health of an SME. Furthermore, several drivers that enable the establishment of a high level of mutual understanding are explored. Owner–managers with a high level of mutual understanding consider their accountant as a strategic partner, experience a high level of proactive behaviour with them, have a higher frequency of formal contact, and perceive informal contact as important. External accountants should consider these opportunities in their client management and training of internal staff. Education of clients and openness also seem very important, as the level of a client's accounting knowledge, the number of accounting topics owner–managers deal with, and transparency towards the accountant are significantly positively related to mutual understanding.