The Corn–Guano Model

The model presented here can be seen as an extension, specifically designed to deal with the issue of exhaustible resources, of the well‐known ‘corn model’. We believe that useful insights are obtained by concentrating on a benchmark case, that of an economy with only one reproducible ‘good’, corn, and only one ‘resource’, guano. The corn–guano model aims at delineating some major issues related to the introduction of exhaustible resources within a post‐Sraffian model. In this paper we concentrate on the dynamics of the price variables. The ultimate goal concerns more generally the treatment of intertemporal economies outside a regular growth path, i.e. it concerns the degree of generality of the post‐Sraffian theory itself.     

Cost Recovery in Congested Electricity Networks

Large scale investments in European electricity networks are foreseen in the next decade. Pricing the network at marginal cost will not be sufficient to pay for those investments as the network is a natural monopoly. This paper derives numerically the socially optimal transmission prices for cost recovery, taking into account that electricity networks are often congested, while allowing for market power in generation. The model is illustrated with a Stackelberg game for the Belgian electricity market.     

Place the good after the bad: effects of emotional shifts on consumer memory

Marketing research has a limited understanding about the effects arising from emotional shifts (i.e., the transition from one emotion to another) during the same advertising message. This paper sheds light on this topic through two studies. Study 1 examines whether an advertising message that features a negative-to-positive emotional shift (i.e., a shift from a negative to a positive emotion) generates greater recall of an advertised brand than an advertising message with a neutral-to-positive emotional shift (i.e., a shift from a neutral to a positive emotion) or one with no emotional shift. Study 2 examines whether an advertising message that simulates a buyer-seller encounter—with the seller reproducing a negative-to-positive emotional shift via facial expressions—generates a greater recall of the advertised content than an identical advertisement with no emotional shift. Results confirm that a negative-to-positive shift facilitates the recall of both the brand and the advertised information.     

Trust,risk and time preferences: evidence from survey data

The paper shows that time preferences and risk preferences are key covariates of self-reported trust. They both predict negatively a measure of generalized trust; however, risk aversion is positively correlated with an index of particularized trusting behaviour (which refers to the circle of known people).     

The effect of opposite sex siblings on cognitive and noncognitive skills in early childhood

We investigate the effect of having opposite sex siblings on cognitive and noncognitive skills of children in the United States at the onset of formal education. Our identification strategy rests on the assumption that, conditional on covariates, the sibling sex composition of the two firstborn children in a family is arguably exogenous. With regard to cognitive skills, learning skills and self-control measured in kindergarten, we find that boys benefit from having a sister, while there is no effect for girls. We also find evidence for the effect fading out as early as first grade.     

Interest rate assumptions and predictive accuracy of central bank forecasts

The interest rate assumptions for macroeconomic forecasts differ among central banks. Common approaches are given by the assumptions that interest rates remain constant over the forecast horizon, follow a path as expected by market participants or follow a path as expected by the central bank itself. Theoretical papers such as Svensson (The instrument-rate projection under inflation targeting: the Norwegian example. Centre for European Policy Studies Working Paper (127), 2006) and Galí (J Monet Econ 58:537–550, 2011) suggest an accuracy ranking for these forecasts, from employing central bank expectations yielding the highest forecast accuracy to conditioning on constant interest rates yielding the lowest. Yet, when investigating the predictive accuracy of the Bank of England’s and the Banco Central do Brasil’s forecasts for interest rates, inflation and output growth, we hardly find any significant differences between forecasts based on the different interest rate paths. Our results suggest that the choice of the interest rate assumption appears to be of minor relevance empirically.     

Forecasting monthly industrial production in real-time: from single equations to factor-based models

The aim of this paper is to analyze the performance of alternative forecasting methods to predict the index of industrial production in Italy from 1 to 3 months ahead. We use twelve different models, from simple ARIMA to dynamic factor models exploiting the timely information of up to 110 short-term indicators, both qualitative and quantitative. This allows to assess the relevance for the forecasting practice of alternative combinations of types of data (real-time and latest available), estimation methods and periods. Out-of-sample predictive ability tests stress the relevance of more indicators in disaggregate models over sample periods covering a complete business cycle (about 7 years in Italy). Our findings downgrade the emphasis on both the estimation method and data revision issues. In line with the classical “average puzzle”, the use of simple averages of alternative forecasts often improves the predictive ability of their single components, mainly over short horizons. Finally, selected indicators and factor-based models always perform significantly better than ARIMA models, suggesting that the short-run indicator signal always dominates the noise component. On this regard, selected indicators models can further increase the amount of signal extracted to improve up to 30–40% the short-run predictive ability of factor-based models and to forecast-encompass them.     

The Outsourcing of Manufacturing and the Rise of Giant Global Contractors: A Marxian Approach to Some Recent Transformations of Global Value Chains

This article aims to show that the Marxian ‘law of value’ can provide solid foundations for the comprehension of the constitution and dynamics of Global Value Chains (GVC). It offers an explanation of the social processes of ‘value creation and capture’ within a chain based on the system-wide motion of global capital accumulation. A firm connection is thus established between the particular dynamics internal to each industry and the general dynamics of the ‘system as a whole’, which is, precisely, where the greatest weakness of the GVC approach lies. Furthermore, the usefulness of those general theoretical insights is then shown through a more empirical discussion of recent transformations in the composition and governance structure of GVC resulting from two interrelated processes: the tendency for a growing de-linking between innovation and manufacturing and the rise of highly concentrated global contractors. These phenomena have paradigmatically developed in the electronics industry, giving rise to the formation of the so-called modular or turnkey production networks. The discussion therefore focuses on that particular industrial sector.     

Innovation in knowledge-based professional service firms. An integrated conceptual model*

ABSTRACT

The current paper offers a new conceptual model to understanding innovation processes in professional service firms, to make hidden relationships more explicit and to find out what are the issues still unexplored. The paper employs a systematic literature review, and draws upon original categorizations of extant literature, to identify main processes for each category of PSFs. It unveils connections among a wide range of factors setting a conceptual model for innovation pathways and highlighting neglected questions relevant from both the theoretical and the practical perspectives.     

The Impact of Interactive Corporate Social Responsibility Communication on Corporate Reputation

Companies increasingly communicate about corporate social responsibility (CSR) through interactive online media. We examine whether using such media is beneficial to a company’s reputation. We conducted an online experiment to examine the impacts of interactivity in CSR messages on corporate reputation and word-of-mouth intentions. Our findings suggest that an increase in perceived interactivity leads to higher message credibility and stronger feelings of identification with the company, which also boost corporate reputation and word-of-mouth. This result implies that using interactive channels to communicate about CSR can improve corporate reputation. Our results also show that the detrimental impacts of negative user evaluations on corporate reputation are much higher than the favorable impacts of positive evaluations. This finding suggests that, despite the effectiveness of interactive communication channels, firms need to carefully monitor these channels.