Output gap in Brazil: a real-time data analysis

Recent literature for developed economies has shown that output gap estimates go through important revisions over time, impairing their reliability in real time. We organize a real-time data set for Brazil’s GDP and assess the revisions of the output gap estimated by four different methods. Similar to the findings of studies for developed economies, the output gap revisions in Brazil are substantial in all methods, with frequent changes in the output gap sign. In general, both the GDP data revision and the effect of adding new observations to the sample are relevant sources of output gap revisions. However, differently from those studies, we cannot assert that the latter source is preponderant.     

Returns to education and wage equations

The paper shows why considering a number of education-dependent covariates in a wage equation decreases the coefficient of education in that equation. This result is illustrated empirically with a meta-analysis for Portugal. The education coefficient decreases when covariates are used that can be considered post-education decisions; on the other hand, it is independent of sample size, tenure and whether hourly or monthly wages are used. These results support the use of a simple specification of the Mincer equation for the study of the total returns to education.     

Modelling regional policy scenarios in the agri-food sector: a case study of a Spanish region

The agri-food industry has several features of great importance for sustainable economic growth in rural areas. The objective of this work is to evaluate the effects associated with different scenarios of growth, and changes in the regional agri-food industry. These scenarios simulate changes in exports and imports, changes in technology and changes in the level of industrial integration. We develop a computable general equilibrium model calibrated for the region. Our results indicate that policies trying to improve the competitiveness and dynamism of strategic sectors as the agro-industrial complex in this regional economy exert positive effects on its growth and income, having notable impacts on local job markets but also in other sectors and activities linked through the whole production chain.     

Trading Partners and Trading Volumes: Implementing the Helpman–Melitz–Rubinstein Model Empirically

Helpman, Melitz and Rubinstein [Quarterly Journal of Economics (2008) Vol. 123, pp. 441–487] (HMR) present a rich theoretical model to study the determinants of bilateral trade flows across countries. The model is then empirically implemented through a two‐stage estimation procedure. We argue that this estimation procedure is only valid under the strong distributional assumptions maintained in the article. Statistical tests using the HMR sample, however, clearly reject such assumptions. Moreover, we perform numerical experiments which show that the HMR two‐stage estimator is very sensitive to departures from the assumption of homoskedasticity. These findings cast doubts on any inference drawn from the empirical implementation of the HMR model.     

Forecasting UK consumer price inflation using inflation forecasts

The inflation rate is a key economic indicator for which forecasters are constantly seeking to improve the accuracy of predictions, so as to enable better macroeconomic decision making. Presented in this paper is a novel approach which seeks to exploit auxiliary information contained within inflation forecasts for developing a new and improved forecast for inflation by modeling with Multivariate Singular Spectrum Analysis (MSSA). Unlike other forecast combination techniques, the key feature of the proposed approach is its use of forecasts, i.e. data into the future, within the modeling process and extracting auxiliary information for generating a new and improved forecast. We consider real data on consumer price inflation in UK, obtained via the Office for National Statistics. A variety of parametric and nonparametric models are then used to generate univariate forecasts of inflation. Thereafter, the best univariate forecast is considered as auxiliary information within the MSSA model alongside historical data for UK consumer price inflation, and a new multivariate forecast is generated. We find compelling evidence which shows the benefits of the proposed approach at generating more accurate medium to long term inflation forecasts for UK in relation to the competing models. Finally, through the discussion, we also consider Google Trends forecasts for inflation within the proposed framework.     

Intermediate units in multinational corporations: A resource dependency view on coordinative versus entrepreneurial roles

Due to the dispersion of headquarters’ activities across organizational and geographical boundaries, intermediate units (IUs) are emerging as a key actor of international business. IUs are intermediate structural layers between headquarters (HQ) and local subsidiaries with specific HQ responsibilities. Our study relies on original data of 67 IUs and, taking on a Resource Dependence approach, explores empirically the two HQ roles attributed to IUs: coordinative versus entrepreneurial. According to our results, the main differences between both roles relate to external network embeddedness, internal network position and autonomy. We argue that these differences arise from the dominant sources of power in each role. These findings have signi?cant relevance for theory development and managerial practice as we provide a starting point for understanding the dispersion of complex HQ systems as well as how those systems are discharged and add value.     

Innovation and the circular economy: A systematic literature review

The circular economy emerged as an alternative model to the linear system, which now appears to be reaching its physical limitations. To transition to a circular economy, companies must not only be aware of but also engage in more sustainable practices. For such a transition, companies must rethink and innovate their business models and the ways they propose value to their clients while simultaneously considering environmental and social facets. This systematic literature review sought to map out from the company perspective the key topics interrelated with innovation and the circular economy, describing the internal and external factors to consider in such transition processes. Key lines of research were identified, and suggestions for future research and for facilitating movement toward a circular economy are provided. This work contributes to deepening the literature by identifying the priority areas concerning the circular economy and encouraging future research that meets international standards of excellence.     

Social entrepreneurship orientation and performance in non-profit organizations

With the downturn in the global socioeconomic panorama, the social entrepreneurship orientation (SEO) and the social performance of non-profit organizations (NPOs) have become subject to growing levels of attention. The objective of this study is to analyze the influence of SEO on the performance of NPOs. To this end, we deployed a quantitative methodology based on the application of a survey of NPOs, which received a total of 135 valid responses. Our results demonstrate a positive effect for the dimensions of social innovation and social proactivity even while reporting no effect for the acceptance of social risks on performance. These results hold important implications across two different levels: in terms of the NPOs and policy-makers.

     

From private label to co-branded credit card: an assessment of the impact of a change in value proposition over customer value perception and company value capture

Journal of Financial Services Marketing - Purpose: The aim of this paper is to evaluate the success of a value proposition over time, considering two aspects: customer’s perceived value and...     

Dynamic managerial capabilities: Scale development and validation

Studies on dynamic managerial capabilities still have a rather theoretical nature, and there is great difficulty in finding a valid, reliable instrument to measure this construct. The present study contributes to solving this problem: It aims to develop and validate a scale to measure dynamic managerial capabilities. In this investigation, we develop a scale for three factors related to dynamic managerial capabilities: human capital, managerial cognition (already described in the literature), and relationship networks. The prominent finding in this research is the factor that is referred to here as relationship networks.