Consistent inference in fixed-effects stochastic frontier models

The classical stochastic frontier panel data models provide no mechanism to disentangle individual time invariant unobserved heterogeneity from inefficiency. Greene (2005a, b) proposed the so-called “true” fixed-effects specification that distinguishes these two latent components. However, due to the incidental parameters problem, his maximum likelihood estimator may lead to biased variance estimates. We propose two alternative estimators that achieve consistency for $n\to \infty$ with fixed $T$. Furthermore, we extend the Chen et al. (2014) results providing a feasible estimator when the inefficiency is heteroskedastic and follows a first-order autoregressive process. We investigate the behavior of the proposed estimators through Monte Carlo simulations showing good finite sample properties, especially in small samples. An application to hospitals’ technical efficiency illustrates the usefulness of the new approach.     

The income elasticity gap and its implications for economic growth and tourism development: the Balearic vs the Canary Islands

ABSTRACT

The Balearic and the Canary Islands are two well-known tourism-led economies. They both experienced a tourism boom during the same decades, and, hence, they developed a similar productive-mix. Nevertheless, there are strong economic differences between the two regions. While the Balearic Islands enjoy a high GDP per capita, the Canary Islands show a more modest performance. The results of a panel data regression confirm our hypothesis that they differ substantially in terms of income elasticity of tourism. It is two times higher in the Balearic Islands than in the Canaries, which indicates the first is perceived as a more luxurious destination. Furthermore, the results of a dynamic computable general equilibrium model show that the Canaries would converge in GDP per capita with the Balearic Islands if they attracted tourists with a similar profile as the latter.     

Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data

Recent literature on panel data emphasizes the importance of accounting for time-varying unobservable individual effects, which may stem from either omitted individual characteristics or macro-level shocks that affect each individual unit differently. In this paper, we propose a simple specification test of the null hypothesis that the individual effects are time-invariant against the alternative that they are time-varying. Our test is an application of Hausman (1978) testing procedure and can be used for any generalized linear model for panel data that admits a sufficient statistic for the individual effect. This is a wide class of models which includes the Gaussian linear model and a variety of nonlinear models typically employed for discrete or categorical outcomes. The basic idea of the test is to compare two alternative estimators of the model parameters based on two different formulations of the conditional maximum likelihood method. Our approach does not require assumptions on the distribution of unobserved heterogeneity, nor it requires the latter to be independent of the regressors in the model. We investigate the finite sample properties of the test through a set of Monte Carlo experiments. Our results show that the test performs well, with small size distortions and good power properties. We use a health economics example based on data from the Health and Retirement Study to illustrate the proposed test.     

Exploring the contribution of innovation intermediaries to the new product development (NPD) process: a typology and an empirical study

In the ‘knowledge economy’ upheld by the European Lisbon strategy, knowledge‐intensive services are considered a key driver for innovation and competitiveness. A category of knowledge‐intensive services that has become of utmost importance in the last few decades is new product development (NPD) services, which interconnect distant knowledge domains with the client firms. In addition to NPD service providers, web‐based innovation intermediaries have started to help innovative firms access dispersed bodies of knowledge. Despite the heterogeneity of their characteristics, however, a clear typology of the strategies used by traditional NPD service providers and web‐based intermediaries to interact with their knowledge sources and with their clients is missing. This typology would be very useful for those firms that are willing to collaborate with innovation intermediaries because it could highlight the typologies of NPD problems different intermediaries are apt to address and the managerial challenges that working with them entails. Developing such a classification framework is the main goal of this paper. The typology proposed in this paper suggests that innovation intermediaries should be distinguished based on the following: (1) the way they access their distributed knowledge sources and (2) the way they deliver value to their clients. By combining these two dimensions, four categories of innovation intermediaries are identified, which are named brokers, mediators, collectors and connectors. A multiple case study analysis involving four innovation intermediaries and 12 of their clients is presented in the paper. The analysis provides exploratory insights into (1) the typologies of NPD problems that each class of intermediaries addresses and (2) the managerial challenges that working with each of them entails. These preliminary findings call for further theoretical and empirical research into the complex interaction among innovation intermediaries, their dispersed sources of knowledge and their clients.     

Difference‐in‐differences when the treatment status is observed in only one period

This paper considers the difference‐in‐differences (DID) method when the data come from repeated cross‐sections and the treatment status is observed either before or after the implementation of a program. We propose a new method that point‐identifies the average treatment effect on the treated (ATT) via a DID method when there is at least one proxy variable for the latent treatment. Key assumptions are the stationarity of the propensity score conditional on the proxy and an exclusion restriction that the proxy must satisfy with respect to the change in average outcomes over time conditional on the true treatment status. We propose a generalized method of moments estimator for the ATT and we show that the associated overidentification test can be used to test our key assumptions. The method is used to evaluate JUNTOS, a Peruvian conditional cash transfer program. We find that the program significantly increased the demand for health inputs among children and women of reproductive age.     

Un indicador de baja calidad del empleo aplicado al Brasil, 2002–2011

En países con mayores niveles de informalidad y precariedad laboral es cuestionable la precisión con la que las tasas de desempleo y participación laboral y los salarios reflejan las condiciones del mercado de trabajo. En esta investigación utilizamos un indicador multidimensional de baja calidad del empleo que considera ingresos, existencia de contrato, contribución a la seguridad social y duración del empleo para analizar el mercado de trabajo brasileño entre 2002 y 2011. Los resultados muestran un aumento significativo de la calidad del empleo, especialmente en el periodo 2009–2011, y diferencias importantes entre trabajadores asalariados e independientes y por sector productivo.     

Consumer Behavior Toward Eco-Labeled Minimally Processed Fruit Product

The authors proposed an analysis of the determinants of purchase intentions and willingness to pay for minimally processed fruit. For this purpose, on-field research was conducted that involved 589 consumers. A questionnaire, gathered in Italy and based on a Likert scale, was administered to investigate intentions to purchase minimally processed fruit from environmentally sustainable farms, simulating a minimally processed product with an eco-label. Via structural equation modeling, the authors develop propositions representing a theoretical approach in the context of purchasing food products. By analyzing two different types of consciousness (health and green), the deduced managerial implications make it possible to assess that the green consciousness influences the attitude and affects the choices and behaviors of consumers. The potential adoption of an eco-label on this kind of food product could be seen as a useful marketing tool for new markets.     

Promoting Persistent Strategic Reasoning Behavior: An Experimental Approach

The present research is aimed to apply experimental techniques to study strategic behavior in one-shot-hide-and-seek games as a frame to elicit more real and elaborated business situations. To promote strategic thinking and persistence, we conducted treatments with repeated matching games among strangers, and one of them with a fixed endowment (fixed initial payment that decreases each round an amount) with the possibility of abandon in any round, retaining the remaining of endowment. In fact, effortful strategic reasoning is found in deviation of subjects’ random choices along the repetitions and abandon, loss aversion, and cultural differences seem articulate a strategic behavior.