Measuring income tax accrual quality

We develop and validate a measure of tax accrual quality. Tax accrual quality captures variation in the extent to which the income tax accrual maps into income tax-related cash flows, with lower variation indicating a higher quality tax accrual. Low tax accrual quality arises from (1) management estimation error and (2) financial reporting standards that lead to differences between income tax expense and income tax cash flows not captured by deferred tax assets and liabilities. We validate our tax accrual quality measure by showing it is associated with firm characteristics that capture both constructs and by demonstrating it predicts future tax-related restatements and internal control material weaknesses. We illustrate the importance of our measure by showing that investors view tax expense as more informative in firms with better tax accrual quality. Future researchers can use tax accrual quality to address questions related to estimation error in the income tax account.     

Impact of Transformational and Servant Leadership on Organizational Performance: A Comparative Analysis

The purpose of this study is to examine the impact of two comparative leadership styles on organizational performance outcomes. The leadership styles undertaken is transformational and servant leadership. A sample of 155 participants is taken from profit-oriented service sector of Pakistan. Data through survey gathered on a five point likert scale from organizations. AMOS and SPSS are used for statistical analysis. The result shows that, transformational leadership has more impact on organizational learning than servant leadership. Furthermore organizational learning enhances organizational performance. Managers and leaders of corporate sector can get benefited from this study. Their main objective is to maximize the profitability of organization thus, they can choose leadership style which polishes their abilities and helps them to achieve profit maximization.     

Algorithm portfolios for logistics optimization considering stochastic demands and mobility allowance

The vehicle routing problem with stochastic demand (VRPSD) is a well known NP-hard problem. The uncharacteristic behaviour associated with the problem enhances the computational efforts required to obtain a feasible and near-optimal solution. This paper proposes an algorithm portfolio methodology based on evolutionary algorithms, which takes into account the stochastic nature of customer demand to solve this computationally complex problem. These problems are well known to have computationally complex objective functions, which make their solutions hard to find, particularly when problem instances of large dimensions are considered. Of particular importance in such situations is the timeliness of the solution. For example, Apple was forced to delay their shipments of iPads internationally due to unprecedented demand and issues with their delivery systems in Samsung Electronics and Seiko Epson. Such examples illustrate the importance of stochastic customer demands and the timing of delivery. Moreover, most of the evolutionary algorithms, known for providing computationally efficient solutions, are unable to always provide optimal or near optimal solutions to all the VRPSD instances within allocated time interval. This is due to the characteristic variations in the computational time taken by evolutionary algorithms for same or varying size of the VRPSD instances. Therefore, this paper presents portfolios of different evolutionary algorithms to reduce the computational time taken to resolve the VRPSD. Moreover, an innovative concept of the mobility allowance (MA) in landmoves based on the levy’s distribution function has been introduced to cope with real situations existing in vehicle routing problems. The proposed portfolio approach has been evaluated for the varying instances of the VRPSD. Four of the existing metaheuristics including Genetic Algorithm (GA), Simulated Annealing (SA), Artificial Immune System (AIS), TABU Search (TS) along with new neighbourhood search, are incorporated in the portfolios. Experiments have been performed on varying dimensions of the VRPSD instances to validate the different properties of the algorithm portfolio. An illustrative example is presented to show that the set of metaheuristics allocated to certain number of processors (i.e. algorithm portfolio) performed better than their individual metaheuristics.     

Smooth estimators for estimating order restricted scale parameters of two gamma distributions

We consider the problem of component-wise estimation of ordered scale parameters of two gamma populations, when it is known apriori which population corresponds to each ordered parameter. Under the scale equivariant squared error loss function, smooth estimators that improve upon the best scale equivariant estimators are derived. These smooth estimators are shown to be generalized Bayes with respect to a non-informative prior. Finally, using Monte Carlo simulations, these improved smooth estimators are compared with the best scale equivariant estimators, their non-smooth improvements obtained in Vijayasree, Misra & Singh (1995), and the restricted maximum likelihood estimators. Acknowledgments. Authors are thankful to a referee for suggestions leading to improved presentation.     

Taking the measure of things: the role of measurement in EU trade

In this paper theoretical and empirical models of intra-industry trade are developed in which economic activities, based on measurement and an associated measurement infrastructure, play a role in creating product variety. The paper discusses how the measurement infrastructure which includes institutions conducting metrological research and standard setting organization reduces transactions costs, especially in markets where differences in product characteristics are important. The theoretical analysis focuses on the public good characteristics of the measurement infrastructure, considering how the infrastructure impacts upon trade in a model based upon product differentiation under monopolistic competition. In the econometric analysis, indicators of the strength of the infrastructure within the EU, both across industries and across countries, suggest that measurement activities are important in determining the extent of bi-lateral EU intra-industry trade. Despite many common elements in the measurement infrastructure across the EU, there is also some evidence of differential access to the infrastructure among EU members.     

Evidence on differences between recognition and disclosure: A comparison of inputs to estimate fair values of employee stock options

I investigate reliability differences across recognition and disclosure regimes to shed light on differing incentives and reporting of employee stock option (ESO) fair values. I compare ESO fair values based on firm-reported inputs with ESO fair values based on benchmark inputs, estimated following authoritative guidance. On average, I find opportunism increases with recognition as compared with disclosure, and that it is associated with incentives to manage earnings. Despite the increase in opportunism, I find that accuracy does not decline for recognizers, and that accuracy differs across voluntary and mandatory recognition.     

On smoothing macroeconomic time series using the modified HP filter

In business-cycle research, smoothing data is an essential first step to evaluate the extent to which model-generated moments stand up to their empirical counterparts. We put to test McDermott’s (1997) modified version of Hodrick and Prescott’s (1997) smoothing filter. On the one hand, our simulations suggest that relative to other filters, the modified HP-filter replicates better artificially generated series with known properties. On the other hand, using true data we find that autoregressive properties of smoothed series are not affected by the choice of smoothing HP filters, but the same does not hold when it comes to multivariate analysis. The later result is especially strong for annual data. We report results for a large set of countries.     

The dominant borrower syndrome

The financing channel of a fiscal stimulus matters for the size and the sign of the fiscal multiplier. We develop a general equilibrium model where a fiscal stimulus is partially bank-funded and the government becomes the dominant borrower from banks relative to entrepreneurs. This leads to a negative impact on credit spreads, investment and a contraction in output. We support our story with a structural vector autoregression for a sample of developing countries featuring the dominant borrower syndrome.     

Conserving biodiversity of community forests and rangelands of a hot arid region of India

Community forests/rangelands, called Orans and Gauchars in the western arid part of India, constitute a significant proportion of the total geographical area of the region. Given the economic importance of these areas from time immemorial, the local people took special care to protect and sustainably utilize these common property resources. However, these forests and rangelands have suffered severe degradation in the recent past. Rehabilitation of Orans and Gauchars needs proper planning and execution of a technically feasible package, tailored to suit their unique edaphic, climatic, vegetation, social and legal status. Keeping in view the vast potential of these areas to sustain large scale livestock farming for overall economic upliftment of the local population, there is an urgent need to rehabilitate these degraded areas in an efficient and cost-effective manner. Salient problems faced by these natural assets of western Rajasthan and strategies for their rehabilitation have been discussed in the paper.     

Is there really a gap between aggregate productivity and technology?

The important contribution by Basu and Fernald (2002 Basu, S and Fernald, JG. 2002. Aggregate productivity and aggregate technology. European Economic Review, 46: 963–91.  [Google Scholar]) shows that, in practice, there is a statistically significant gap between aggregate productivity and technology that can be attributed to inefficient product and labour markets. This is important, as it implies that the Solow residual is an imperfect index for aggregate technology change. We take a related approach and find that when we control for capacity utilization, time varying markup and account for externalities between industries, by employing a superior system estimator, the gap between the aggregate productivity and technology is shown to narrow considerably.