Experimentation in Markets

We present a model of entry and exit with Bayesian learning and price competition. A new product of initially unknown quality is introduced in the market, and purchases of the product yield information on its true quality. We assume that the performance of the new product is publicly observable. As agents learn from the experiments of others, informational externalities arise.
We determine the Markov Perfect Equilibrium prices and allocations. In a single market, the combination of the informational externalities among the buyers and the strategic pricing by the sellers results in excessive experimentation. If the new product is launched in many distinct markets, the path of sales converges to the efficient path in the limit as the number of markets grows.     

A Tale of Two Models: Comparing structuralist and neoclassical computable general equilibrium models for South Africa

This paper compares two working models of the South African economy, an orthodox, neoclassical computable general equilibrium model in which savings drive investment, and a more structuralist, eclectic, model for which there is an independent investment function. Both models are calibrated to the same social accounting matrix. Comparative statics of simplified prototype models are presented and identical simulations with the corresponding applied versions are compared. It is seen that the neoclassical model fully supports the principles of the 'Washington Consensus' while the structuralist model requires a far more heterodox set of policies to avoid slow growth or high inflation.     

R&D and manufacturing production specialization in developed economies

A study of the relation between technology and manufacturing production specialization in a series of developed economies is performed by means of models relating indicators of revealed symmetric comparative advantage of value added and exports to similar measures of comparative performance of R&D expenditure, capital intensity, total factor productivity and wage costs. The production and R&D specialization are shown to be substantial and sticky. This contrasts with the evidence of a substantial degree of convergence in the patterns of the other variables. Regression estimates show that, although all variables play their part, the impact of comparative R&D efforts on production specialization is by far the strongest. This impact is found to be stronger in the smaller economies and it is especially important in research-intensive industries. The influence of comparative wages is, moreover, found to be positive here, suggesting the dominance of a labour skill and efficiency wage effect over a wage cost competitiveness effect. These findings are shown to conform quite well with the predictions of Schumpeterian theory and of certain contributions to ‘new trade theory’ that have stressed the importance of dynamic economies of scale.     

Correlation smile matching for collateralized debt obligation tranches with α-stable distributions and fitted Archimedean copula models

As an extension of the standard Gaussian copula model to price collateralized debt obligation (CDO) tranche swaps we present a generalization of a one-factor copula model based on stable distributions. For special parameter values these distributions coincide with Gaussian or Cauchy distributions, but changing the parameters allows a continuous deformation away from the Gaussian copula. All these factor copulas are embedded in a framework of stochastic correlations. We furthermore generalize the linear dependence in the usual factor approach to a more general Archimedean copula dependence between the individual trigger variable and the common latent factor. Our analysis is carried out on a non-homogeneous correlation structure of the underlying portfolio. CDO tranche market premia, even throughout the correlation crisis in May 2005, can be reproduced by certain models. From a numerical perspective, all these models are simple, since calculations can be reduced to one-dimensional numerical integrals.     

Perceptions of the value of the HR function

This article explores the added value of the HR function as it is perceived by three groups of managers: top managers, HR managers and line managers. Despite the fact that literature about strategic HRM focuses almost exclusively on the value of the HR function as a strategic partner, it was assumed that its perceived value for the business would not be restricted to the area of strategy formulation and implementation. Several 'result domains' can be distinguished in which the HR function can deliver value to the business. Based on our review of the literature, the degree of strategic involvement of the function was used as a second perspective to investigate its perceived added value. To examine our propositions, a qualitative study was carried out in which 97 HR managers, 38 top managers and 178 line managers participated. The results confirm our thesis that the perceived value of the HR function contains more than just the fulfilment of its role as a strategic partner. Based on our results, an integrated model for the perceived value of the function has been developed.     

Heterogeneous Firm‐Level Effects of Knowledge Exchanges on Product Innovation: Differences between Dynamic and Lagging Product Innovators*

Product innovation is the result of a constant interaction between the in‐house research and development (R&D) department and knowledge exchanges with the firm's environment. Knowledge exchanges come in different forms. They break down into information gathering applied in new product development, research cooperation on particular innovation projects, and managing information outflows allowing the consequent appropriation of the results of product innovation through specific methods. The way firms handle knowledge exchanges affects their performance. This paper looks at three related indicators of performance: (1) research intensity (a measure of innovative input); (2) the share of revenue realized through innovative product sales (a measure of innovative output); and (3) their impact on the growth in total revenue. The bulk of the econometric literature looking into these matters only allows general statistical statements on the behavior of an “average” firm. This paper takes on another view by using the quantile regression method to stress the heterogeneity of innovative firms in their dealing with knowledge exchange and the effect this has on their performance. A first key finding is that research intensity is positively influenced by knowledge externalities, research cooperation, and appropriability, and it is through this that these variables affect innovative revenue and also the growth in total revenue. By using quantile regression these relationships are further refined to screen for differences in behavior between dynamic and lagging innovators. This refinement indicates that, in the case of research intensity, the knowledge externalities gain in importance in the higher quantiles and are insignificant in the lower ones. Next, research cooperation remains important in all quantiles, but a higher significance is observed in the higher quantiles as well. Finally, appropriability is extremely important for the lower quantiles, but it becomes insignificant in the highest. These findings corroborate the assumptions made in the literature on open innovation: knowledge externalities and research collaboration are vital for those opening up their firm for new ideas and who are, at the same time, reluctant to protect their findings through specific appropriation measures. In the case of innovative revenue all variables on knowledge exchange operate through the research intensity irrespective of the quantile, although the impact of research intensity on this type of revenue is higher in the upper quantiles. As for the growth in revenue, the effect of the innovative revenue is, again, higher in the higher quantiles. This suggests that dynamic product innovators have the most efficient R&D process and the strongest growers are so, especially, because they are successful product innovators.