Technological change, human capital update and growth policies

This paper presents a model of growth driven simultaneously by innovation and human capital accumulation. Two different long-run equilibria are possible, according to whether or not workers skills are completely updated over time as knowledge expands. Skill gaps could arise as a consequence of poor education infrastructures, even in the efficient solution; in such circumstances, we find that whilst education policies are able to encourage growth, R&D policies are not. Otherwise, subsidizing education becomes ineffective for enhancing growth, although it could be necessary to avoid possible skill gaps originated by the R&D growth-enhancing policy.JEL Classification: O41, O33The authors wish to thank the financial support received for the project SEC 2001-2469 (Ministry of Science and Technology, Spain, and FEDER), as well as the comments of the co-editor and the referees.     

Using Genetic Algorithms to Estimate and Validate Bioeconomic Models: The Case of the Ibero-atlantic Sardine Fishery

Synopsis The Neo-classical approach to fisheries management is based on designing and applying bioeconomic models. Traditionally, the basic bioeconomic models have used pre-established non-linear functional forms (logistic, Cobb–Douglas) in order to try to reflect the dynamics of the renewable resources under study. This assumption might cause misspecification problems and, in consequence, a loss of predictive ability. In this work we intend to verify if there is a bias motivated by employing the said non-linear parametric perspective. For this purpose, we employ a novel non-linear and non-parametric prediction method, called Genetic Algorithms, and we compare its results with those obtained from the traditional methods.     

On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming

The aim of this paper is twofold. Firstly, we introduce a novel semiparametric technique called Genetic Programming to estimate and explain the willingness to pay to maintain environmental conditions of a specific natural park in Spain. To the authors’ knowledge, this is the first time in which Genetic Programming is employed in contingent valuation. Secondly, we investigate the existence of bias due to the functional rigidity of the traditional parametric techniques commonly employed in a contingent valuation problem. We applied standard parametric methods (logit and probit) and compared with results obtained using semiparametric methods (a proportional hazard model and a genetic program). The parametric and semiparametric methods give similar results in terms of the variables finally chosen in the model. Therefore, the results confirm the internal validity of our contingent valuation exercise.     

Towards Normative Theories of Social Entrepreneurship. A Review of the Top Publications of the Field

Journal of Business Ethics - In this article, we apply deductive content analysis to the 100 most influential publications in the field of social entrepreneurship (SE) to identify...     

Exporting and Economic Performance: Firm‐level Evidence of Spanish Manufacturing

In a previous paper, Delgado, Fariñas and Ruano (2002) report TFP differences between exporters and non‐exporters on the basis of a sample of Spanish manufacturing firms. In this paper, we extend the previous analysis in three directions using a similar data set. First, we investigate additional economic performance differences between exporters and non‐exporters. Second, we measure TFP differences estimating production functions that control for unobserved heterogeneity and simultaneity bias. Third, we explore the self‐selection and learning‐by‐exporting hypothesis as explanations for the greater performance of exporters. With respect to the results, we confirm that many indicators of economic performance such as productivity, size, wages and innovation are greater in exporting firms. Furthermore, TFP differences between exporters and non‐exporters estimated with parametric methods are remarkably similar to those estimated using index numbers. Finally, performance differences and transition patterns between the export market and the domestic market indicate higher performance for entering exporters with respect to non‐exporters at the moment of entry. We find evidence of selection in the entry and the exit side of the export market. One of the basic results that we obtain indicates that after controlling for self‐selection, the productivity growth of entering exporters does not significantly change with respect to non‐exporters. As the evidence we find indicates no systematic changes in performance between non‐exporters and exporters after entry takes place, we do not confirm the learning‐by‐exporting hypothesis.     

A macro stress test model of credit risk for the Brazilian banking sector

This paper proposes a model to conduct macro stress test of credit risk for the banking sector based on scenario analysis. We employ an original bank-level data set that splits bank credit portfolios in 21 granular categories, covering household and corporate loans. The results corroborate the presence of a strong procyclical behavior of credit quality, and show a robust negative relationship between the logistic transformation of non-performing loans (NPLs) and GDP growth, with a lag response of up to three quarters. The results also indicate that the procyclical behavior of loan quality varies across credit types. This is novel in the literature and suggests that banks with larger exposures to highly procyclical credit types and economic sectors would tend to undergo sharper deterioration in the quality of their credit portfolios during an economic downturn. Lack of sufficient portfolio granularity in macro stress testing fails to capture these effects and thus introduces a source of bias that tends to underestimate the tail losses stemming from the riskier banks in a system.