Social Policy and Development in Latin America: The Long View

In the new development strategy currently shaping Latin America, alternative social policy models have emerged. This article argues that far from being rival alternatives, each of these models considers the wide differences among countries. The region is emerging from a century of transformation – from a traditional agrarian economy to an urban industrial one – in which countries have taken diverse historical paths. Some have almost completed this transformation, others are taking early steps, and the vast majority are living through it. State‐led transition has followed two successive development strategies. From the 1920s up to the 1980s, state developmentalism has mostly successfully assumed the twin challenges of economic and social progress. In the last two decades of the century, Latin American states adopted the policies of the Washington Consensus, which emphasized the importance of business in the framework of globalization and benefited the affluent few. However, an unambiguous shift in direction has been taking place in Latin America since the 1997 economic crisis. This article suggests that a new developmental welfare state model seems to be in the making. How will it evolve over the wider space of an increasingly integrated Latin America?     

Shortcomings in the Measurement of Innovation: Implications for Accounting Standard Setting

Innovation is nowadays a fundamental determinant of value creation in business companies and economic growth. Therefore, the measurement of innovation has become a significant concern both for business companies and governments. Traditionally, attempts to measure innovation have adopted a macroeconomic approach, as they have been largely based on broad surveys. However, no attempt has been made to date in order to complement the information provided by such surveys with aggregated data obtained from the financial reports of individual companies. This paper analyses the conceptual and methodological problems underlying the measurement of business innovation by means of surveys and discusses the lack of ability of accounting standards to accurately reflect innovative activities in the financial statements of business firms.In the light of the evidence provided by the empirical studies published to date, we analyse the Spanish situation by reviewing innovation studies conducted by the National Institute of Statistics (INE), and assessing the relationship between the value relevance of accounting information and the firm's technological level. Our results suggest that both, micro- and macroeconomic approaches towards the measurement of innovation have significant shortcomings. Thus, a joint effort seems to be needed in order to overcome the methodological limitations affecting innovation studies based on surveys and those relying on financial accounting information. Despite their limitations, surveys provide a sound basis for the identification of trends, key factors and explanatory variables. On the other hand, financial statements could provide a sound basis for the measurement of innovation if they included more relevant information on the intangible determinants of the value of companies. This has obvious implications for the standard setting process.     

Parsimonious periodic autoregressive models for time series with evolving trend and seasonality

Statistics and Computing - This paper proposes an extension of Periodic AutoRegressive (PAR) modelling for time series with evolving features. The large scale of modern datasets, in fact, implies...     

Una conversación con Michael Billig

Resumen

Este estudio explora el impacto del 11-M en las reacciones emocionales, las formas de afrontamiento y el riesgo percibido en la población española. Han participado 869 personas (el 42,7% cumplimentó el cuestionario antes de los atentados y el 57,3% después). Tras el 11-M aumenta la percepción de riesgo, la intensidad emocional negativa y las conductas de afrontamiento defensivo. Existe una sobreestimación del riesgo personal respecto a la probabilidad real. Los participantes más expuestos a situaciones de riesgo (País Vasco) son los que presentan menor probabilidad de ser víctimas del evento. El miedo induce a adoptar estrategias de tipo defensivo y refuerza la percepción de riesgo mientras que la cólera se asocia a reacciones agresivas. Los resultados confirman que las personas atribuyen respuestas afectivas y formas de afrontamiento más disfuncionales a los otros que a uno mismo. Existe una relativa independencia entre la experiencia directa y la percepción de riesgo. El 11-M no ha repercutido ni en la benevolencia ni en la confianza que se tiene en los otros ni en las creencias de tipo socio-cultural.     

Monitoring Progress in Child Poverty Reduction: Methodological Insights and Illustration to the Case Study of Bangladesh

Important steps have been taken at international summits to set up goals and targets to improve the wellbeing of children worldwide. Now the world also has more and better data to monitor progress. This paper presents a new approach to monitoring progress in child poverty reduction based on the Alkire and Foster adjusted headcount ratio and an array of complementary techniques. A theoretical discussion is accompanied by an assessment of child poverty reduction in Bangladesh based on four rounds of the demographic household survey (1997–2007). Emphasis is given to dimensional monotonicity and decomposability as desirable properties of multidimensional poverty measures. Complementary techniques for analysing changes over time are also illustrated, including the Shapley decomposition of changes in overall poverty, as well as a range of robustness tests and statistical significance tests. The results from Bangladesh illustrate the value added of these new tools and the information they provide for policy. The analysis reveals two paths to multidimensional poverty reduction by either decreasing the incidence of poverty or its intensity, and exposes an uneven distribution of national gains across geographical divisions. The methodology allows an integrated analysis of overall changes yet simultaneously examines progress in each region and in each dimension, retaining the positive features of dashboard approaches. The empirical evidence highlights the need to move beyond the headcount ratio towards new measures of child poverty that reflect the intensity of poverty and multiple deprivations that affect poor children at the same time.     

Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects

Inappropriate management of health and safety (H&S) risk in power infrastructure projects can result in occupational accidents and equipment damage. Accidents at work have detrimental effects on workers, company, and the general public. Despite the availability of H&S incident data, utilizing them to mitigate accident occurrence effectively is challenging due to inherent limitations of existing data logging methods. In this study, we used a text-mining approach for retrieving meaningful terms from data and develop six deep learning (DL) models for H&S risks management in power infrastructure. The DL models include DNN_classify (risk or no risk), DNN_reg1 (loss time), DNN_reg2 (body injury), DNN_reg3 (plant and fleet), DNN_reg4 (equipment), and DNN_reg5 (environment). An H&S risk database obtained from a leading UK power infrastructure construction company was used in developing the models using the H2O framework of the R language. Performances of DL models were assessed and benchmarked with existing models using test data and appropriate performance metrics. The overall accuracy of the classification model was 0.93. The average R² value for the five regression models was 0.92, with mean absolute error between 0.91 and 0.94. The presented results, in addition to the developed user-interface module, will help practitioners obtain a better understanding of H&S challenges, minimize project costs (such as third-party insurance and equipment repairs), and offer effective strategies to mitigate H&S risk.     

Centralized resource allocation BCC models

In two recent papers, Lozano and Villa [Centralized resource allocation using data envelopment analysis. Journal of Productivity Analysis 2004;22:143–61. [1]] and Lozano et al. [Centralized target setting for regional recycling operations using DEA. OMEGA 2004;32:101–10. [2]] introduce the concept of “centralized” data envelopment analysis (DEA) models, which aim at optimizing the combined resource consumption by all units in an organization rather than considering the consumption by each unit separately. This is particularly relevant for situations where some variables are controlled by a central authority (e.g. Head Office) rather than individual unit managers. In this paper we reconsider one of the centralized models proposed by the above-mentioned authors and suggest modifying it to only consider adjustments of previously inefficient units. We show how this new model formulation relate to a standard DEA model, namely as the analysis of the mean inefficient point. We also provide a procedure that can be used to generate alternative optimal solutions, enabling a decision maker to search through alternate solution possibilities in order to select the preferred one. We then extend the model to incorporate non-transferable as well as strictly non-discretionary variables and illustrate the models using an empirical example of a public service organization.     

SEPARATING BETWEEN UNOBSERVED CONSUMER TYPES: EVIDENCE FROM AIRLINES

We propose an alternative approach to identify unobserved consumer types and assess whether firms price discriminate. Unlike other screening schemes that rely on quantity discounts or product differentiation, in our finite mixture structure individuals have unit demands and the product is homogeneous. We implement the model using an original U.S. airlines data set. The results support the existence of two demand types. The high‐type “business” traveler is less price sensitive, has a higher valuation, and pays a higher price than the low type “tourist.” The proportion of high types also increases as the departure date nears. (JEL C23, L93, R41)     

Audit committee and internal audit and the quality of earnings: empirical evidence from Spanish companies

Corporate scandals and failures such as Enron, WorldCom, etc. were highly catastrophic and had a terrible effect on stakeholders. The pressure of globalisation and the intense competition have lead to organisations encouraging good corporate governance. Organisations have to promote transparency and accountability of financial information. As Gramling et al. (J Account Lit 23:194–244, 2004) argued there are four important mechanisms of corporate governance include boards of directors, audit committees (among others) and internal and external audit functions. However, this paper will focus on the relationship between two corporate governance mechanisms (audit committee and internal audit function). Thus, our purpose is to analyse the relation between characteristics of the audit committee and internal audit function and earnings management measured as abnormal accruals to test the quality of financial statements. We hypothesise that the association between the effectiveness of the audit committee and the presence of an internal audit function and its relationship with this committee would indicate less opportunity for management to manipulate earnings. Using a sample of 108 non-financial Spanish companies that traded on the Madrid Stock Exchange between 2003 and 2006 (432 observations), we have found that the size and number of meetings of the audit committee had a significant negative association with earnings manipulations. Also, our results suggest that a negative relation between having an internal audit function and earnings management.     

A test for randomness based on a complexity measure

A test for randomness based on a statistic related to the complexity of finite sequences is presented. Simulation of binary sequences under different stochastic models provides estimates of the power of the test. The results show that the test is sensitive to a variety of alternatives to randomness and suggest that the proposed test statistic is a reasonable measure of the stochastic complexity of a finite sequence of discrete random variables.