Measuring central bank independence: a tale of subjectivity and of its consequences

The paper first scrutinises the two indices of central bankindependence (CBI) most commonly used in the empirical literature.It defines and discovers an impressive interpretation spread,a major criteria spread but a negligible weighting spread inthose indices Second, it framing the robustness of the empirical‘common knowledge’ on the benefits of CBI. It findsthat, when rankings produced by various CBI indices are regressedwith, among others, average inflation, 87 5% of die regressioncoefficients are not statistically significant Third, followingrecent theoretical developments, it suggests an alternativeapproach to the measurement of a central bank's operationalstatus.     

Labour‐market institutions and their impact on trade partners: A quantitative analysis

Recent theoretical literature studies how labour market reforms in one country can affect labour market outcomes in other countries, thereby rationalizing widely held policy beliefs and empirical evidence. But what is the quantitative relevance of such spillover effects? This paper combines two recent workhorse models: the canonical search‐and‐matching framework and the heterogeneous firms international trade model. Qualitatively, the framework confirms that labour market reforms in one country benefit its trading partners, replicating the stylized facts. However, when wages are bargained flexibly, the model quantitatively underestimates the correlation of structural unemployment rates across countries. Introducing some degree of real wage rigidity remedies this problem.     

Robust tests for time-invariant individual heterogeneity versus dynamic state dependence

We derive tests for persistent effects in a general linear dynamic panel data context. Two sources of persistent behavior are considered: time-invariant unobserved factors (captured by an individual random effect) and dynamic persistence or “state dependence” (captured by autoregressive behavior). We will use a maximum likelihood framework to derive a family of tests that help researchers learn whether persistence is due to individual heterogeneity, dynamic effect, or both. The proposed tests have power only in the direction they are designed to perform, that is, they are locally robust to the presence of alternative sources of persistence, and consequently, are able to identify which source of persistence is active. A Monte Carlo experiment is implemented to explore the finite sample performance of the proposed procedures. The tests are applied to a panel data series of real GDP growth for the period 1960–2005.     

Commodity Prices and the Business Cycle in Latin America: Living and Dying by Commodities?

We analyze the dynamic interactions between commodity prices and output growth of the seven biggest Latin American exporters: Argentina, Brazil, Chile, Colombia, Mexico, Peru, and Venezuela. Using a novel definition of Markov-switching impulse response functions, we find that the response of each country's output growth to commodity price shocks is time dependent, size dependent, and sign dependent. The major evidence of asymmetries in output growth responses occurs when commodity price shocks lead to regime shifts. Thus, we conclude that the design of optimal countercyclical stabilization policies should consider that the reactions of economic activity vary considerably across business cycle regimes.     

The sales recovery audit: Learning to walk the talk

Little research attention has been devoted to the impact of salesperson failure and recovery management on customer relationship development. This paper develops a theoretically anchored and externally validated sales recovery audit for the purpose of assessing sales organization performance in these matters. Results based on a survey of 177 sales managers indicate that practice of sales recovery efforts lags behind their perceived importance as they relate to organizational success. The sales recovery audit presented here can be a useful tool to continuously evaluate and enhance sales recovery efforts for the purpose of building a stronger relationship selling organization.     

Dynamic Panel Data Evidence on the Trade-Income Relation

This paper revisits the relationship between a country’s openness and its per capita income. Building on Frankel and Romer, it argues that a dynamic econometric specification similar to the ones used in empirical growth studies better fits the theoretical literature and also resolves some otherwise unresolved inconsistencies. The preferred econometric method is Blundell and Bond’s system-GMM estimator, which allows dealing with measurement error, weak instruments, and time-invariant country-specific effects. The findings confirm the existence of a strong effect of trade on income but fail to find evidence for trade as an independent factor of divergence. JEL no. F43, O40     

Modelling the volatility of commodities prices using a stochastic volatility model with random level shifts

We use the approach of Qu and Perron (Econom J 16(3):309–339, 2013) for the modeling and inference of volatility of a set of commodity prices in the presence of random level shifts of unknown timing, magnitude and frequency. Our approach contributes to the study of commodities in several aspects. First, we test for the presence of a genuine long-memory process in the volatility of commodities. Second, we determine that the random level shifts are certainly the main source of variation in the commodity price volatility. Finally, we estimate the volatility and its components as latent variables, thereby making it possible to evaluate their level of correlation with macroeconomic variables in small open economies such as Latin-American countries where the dependence on commodity price volatility is high. We use six commodity series: agriculture, livestock, gold, oil, industrial metals and a general commodity index. All series cover the period from January 1983 until December 2013 in daily frequency. The results show that although the occurrence of a level shift is rare, (about once every 1.5 or 1.8 years), this component clearly contributes most to the variation in the volatility. Furthermore, isolating the level shift component from the overall volatility indicates a strong relationship of this component with a set of business cycle indicators of several Latin American countries.     

The Roles of HRM in CSR: Strategic Partnership or Operational Support?

As the implementation of corporate social responsibility (CSR) strategy requires promoting employee participation and initiating meaningful changes in organisational culture, the involvement of the human resource management (HRM) function in policy formulation and implementation is highly desirable. The relationship between the HRM and CSR functions is, however, under-investigated than other areas. Hence, there is a lack of clarity concerning HRM roles and the conditions under which they may be strategic or operational in nature. By drawing on data from interviews with 29 CSR and HRM professionals of large organisations in New Zealand, this paper argues that the role and contribution of the HR function in CSR is contingent on organisational variables such as the CSR structure, the scope and application of CSR and the nature of the HR functions. It concludes that in such contexts HRM is more likely to offer operational support in executing CSR rather than strategic input.     

Antecedents of Purchase Intention in the Online Context

The understanding of the determinant factors of customer purchase intention is necessary, and it is equally important to study the online purchase context, since this context is disseminated among customers. A theoretical model has been elaborated on and tested, considering the constructs of information quality, distrust, and perceived risk as antecedents of purchase intention, and aiming to analyze the relationship among these constructs in the online purchase context. A quantitative research study has been performed by means of the application of a survey. Multivariate statistics techniques have been applied for data analyses, including structural equation modeling. This study contributes to the evolution of the empirically tested concepts by providing a greater individual understanding of each construct presented in the theoretical model, as well as the relationship among them as determinants of purchase intention; the indication is that meaningful relationships were found which may impact greater profitability and, consequently, greater competition for online retailers.