Modelling spatial regimes in farms technologies

We exploit the information derived from geographical coordinates to endogenously identify spatial regimes in technologies that are the result of a variety of complex, dynamic interactions among site-specific environmental variables and farmer decision making about technology, which are often not observed at the farm level. Controlling for unobserved heterogeneity is a fundamental challenge in empirical research, as failing to do so can produce model misspecification and preclude causal inference. In this article, we adopt a two-step procedure to deal with unobserved spatial heterogeneity, while accounting for spatial dependence in a cross-sectional setting. The first step of the procedure takes explicitly unobserved spatial heterogeneity into account to endogenously identify subsets of farms that follow a similar local production econometric model, i.e. spatial production regimes. The second step consists in the specification of a spatial autoregressive model with autoregressive disturbances and spatial regimes. The method is applied to two regional samples of olive growing farms in Italy. The main finding is that the identification of spatial regimes can help drawing a more detailed picture of the production environment and provide more accurate information to guide extension services and policy makers.     

Open interest,volume, and volatility: evidence from Taiwan futures markets

This paper examines the relationships amongst volatility, total trading volume (TVOL) and total open interest (TOI) for three Taiwan stock index futures markets as well as the role of the latter two variables in the dynamics of GARCH modeling and forecasting. From both ex-post and ex-ante perspectives, we study this issue by using the VAR model and augmented GARCH-type models, respectively. For the GARCH-type models, we employ both symmetric and asymmetric models augmented with lagged logs in TOI and/or TVOL. We find that whether addition of these two variables helps the basic GARCH models predict future volatility depends upon the sample period examined for all three sets of futures. Nonetheless, the best three models for out-of-sample volatility forecasting in the MSE sense are generally the augmented models for all sub-intervals and all three futures contracts.     

Debt ownership structure and legal system: an international analysis

This paper is concerned with the ownership structure of corporate debt from an institutional perspective. An attempt is made to identify the factors affecting bank debt use from an international sample of companies from Austria, Germany, Japan, Belgium, France, Italy, Holland, Spain, Portugal, Finland, Sweden and the USA. The results show that bank debt depends both on factors specific to each company and on institutional features of each country. More exactly, it is found that bank loans are related to firm size, to the quality and risk of the projects, and to the collateral. It is also found that a number of legal-institutional factors are impacting on the source of firms’ debt, such as creditor protection, firm disclosure requirements and law enforcement.     

A parametric control function approach to estimating the returns to schooling in the absence of exclusion restrictions: an application to the NLSY

An innovation which bypasses the need for instruments when estimating endogenous treatment effects is identification via conditional second moments. The most general of these approaches is Klein and Vella (J Econom 154:154–164, 2010), which models the conditional variances semiparametrically. While this is attractive, as identification is not reliant on parametric assumptions for variances, the nonparametric aspect of the estimation may discourage practitioners from its use. This paper outlines how the estimator can be implemented parametrically. The use of parametric assumptions is accompanied by a large reduction in computational and programming demands. We illustrate the approach by estimating the return to education using a sample drawn from the National Longitudinal Survey of Youth 1979. Accounting for endogeneity increases the estimate of the return to education from 6.8 to 11.2%.     

The economic analysis of social norms: A reappraisal of Hayek’s legacy

This paper is organized as follows: first, we show that the reference to the notion of group selection is coherent with the other parts of Hayek’s thought. Second, we develop the idea that recent works in terms of the emergence and evolution of social norms corroborate in part Hayek’s theses in this domain. Finally, we put to the fore some drawbacks in Hayek’s approach and propose means to solve them.

The effects of relationship quality on customer retaliation

This research examines the effects of relationship quality (RQ) on customers' desires to retaliate after service failures. We posit that the effects of RQ are contingent upon the attributions customers make about the firm’s controllability over a service failure. Two competing hypotheses are examined and reconciled. The “love is blind” hypothesis posits that when low controllability is inferred, high RQ customers experience a lesser desire for retaliation than low RQ customers. On the other hand, the “love becomes hate” hypothesis specifies that when high controllability is inferred, high RQ customers experience a greater desire for retaliation than low RQ customers. The hypotheses are tested with a survey-based design and a partial least squares (PLS) model that incorporates a multiplicative latent construct.     

Why do people tell the truth? Experimental evidence for pure lie aversion

A recent experimental literature shows that truth-telling is not always motivated by pecuniary motives, and several alternative motivations have been proposed. However, their relative importance in any given context is still not totally clear. This paper investigates the relevance of pure lie aversion, that is, a dislike for lies independent of their consequences. We propose a very simple design where other motives considered in the literature predict zero truth-telling, whereas pure lie aversion predicts a non-zero rate. Thus we interpret the finding that more than a third of the subjects tell the truth as evidence for pure lie aversion. Our design also prevents confounds with another motivation (a desire to act as others expect us to act) not frequently considered but consistent with much existing evidence. We also observe that subjects who tell the truth are more likely to believe that others will tell the truth as well.