What to do with mushroom pickers in my forest? Policy tools from the landowners’ perspective

Wild mushroom picking is a growing recreational and commercial activity. In Spain, wild mushrooms legally belong to the landowner, who seldom benefits from trade in mushrooms or from their recreational value. Cultural aspects (tradition, picker-related harms) and economic aspects (costly forestry works, income opportunities) constitute elements of the debate on how to deal with mushroom picking. Through a survey of private forest owners in Catalonia (north-eastern Spain), this paper examines their experiences with mushroom pickers, the factors shaping their related policy preferences and their willingness to engage in mushroom reserves.The results show broad support for introducing mushroom picking norms. A regulation would allow outsider pickers to enter private land, but only under certain conditions, i.e. to comply with socio-ecological rules of the area. Among respondents who support the regulation, active land owners who report instances of picker-related harm (both tangible and intangible) tend to support the establishment of a fee system which could be reinvested into forest management. That is also the position of the respondents who perceive mushrooms as a private right, i.e. they believe to have a legitimate right to exclude outsider pickers and, eventually, to raise revenues from that asset. On the contrary, forest owners who conceive mushroom picking as a free-access activity prefer neither to regulate it nor to charge fees. The option to establish a mushroom picking reserve depends on the landholder being a fee-supporter and perceiving instances of harm. Harm, instead, is mainly determined by the perception of congestion of pickers, which in turn is determined by the mushroom productivity of their forest, their level of privacy protection and their involvement to the primary sector. These findings help policymakers to better understand the logic and sensitivities of forest owners in view of designing mushroom picking policies that can effectively solve picker-landowner conflicts.     

A system approach for measuring the euro area NAIRU

This paper addresses the issue of measuring the NAIRU for the euro area and assessing the robustness and precision of the obtained estimates. The empirical framework adopted is based on systems combining an Okun-type relationship between cyclical unemployment and the output gap with a Phillips curve and stochastic laws of motion for the NAIRU and potential output. Such systems have been estimated using Kalman-filter techniques. The results obtained point to an estimate of the area-wide NAIRU that is robust to changes in the underlying models. This robustness is shown to hold both in terms of the mean – i.e., the shape of the resulting NAIRU – and the variance of the process. The latter is derived through bootstrap exercises using the models alone or pooled together. The evidence found suggests that the increase in the aggregate NAIRU that took place in the early part of the sample period has come to a halt and may be about to be reversed.Jel classification: C11, C15, E31, E32The opinions expressed in this paper are those of the authors and do not necessarily reflect the views of the Institutions they belong to. The authors are grateful to Per Jansson for providing parts of the econometric RATS code and to Gonzalo Camba-Mendez and Frank Smets of the ECB for useful comments. Comments and recommendations by two anonimous referees are also gratefully acnowledged. All the remaining errors are the authors responsibility. All correspondence to Ricardo Mestre.First version received: January 2002/Final version received December 2002     

Testing population variance in case of one sample and the difference of variances in case of two samples: Example of wage and pension data sets in Serbia

Testing one population variance and the difference in variances of two populations based on the ordinary t-statistics combined with the bootstrap method are suggested in this article. Suggested techniques are combined with Hall's transformation approach. Application of presented methods in domain of real economic data set is described and analyzed. We compare the outputs of suggested methods and traditional methods for considered data set. The results show that these introduced methods have small advantages in comparisons with traditional methods especially for small samples.     

Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test

This study applies the bootstrap panel causality test proposed by Kónya (2006. Econ Modell 23, 978) to investigate the causal link between political uncertainty and stock prices for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both cross-sectional dependency and country-specific heterogeneity. Our empirical results indicate that not all the countries are alike and that the theoretical prediction that stock prices fall at the announcement of a policy change is not always supported. Specifically, we find evidence for the stock price leading hypothesis for Italy and Spain, while the political uncertainty leading hypothesis cannot be rejected for the United Kingdom and the United States. In addition, the neutrality hypothesis was supported in the remaining three countries (Canada, France and Germany), while no evidence for the feedback hypothesis was found.     

Technical efficiency of mainstream airlines and low-cost carriers: New evidence using bootstrap data envelopment analysis truncated regression

Between 2001 and 2005, the US airline industry faced financial turmoil while the European airline industry entered a period of substantive deregulation. Consequently, this opened up opportunities for low-cost carriers to become more competitive in the market. To assess airline performance and identify the sources of efficiency in the immediate aftermath of these events, we employ a bootstrap data envelopment analysis truncated regression approach. The results suggest that at the time the mainstream airlines needed to significantly reorganize and rescale their operations to remain competitive. In the second-stage analysis, the results indicate that private ownership, status as a low-cost carrier, and improvements in weight load contributed to better organizational efficiency.     

Semiparametric diffusion estimation and application to a stock market index

The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A new model for a stock market index process is proposed in which the index is decomposed into an average growth process and an ergodic diffusion. The ergodic diffusion part of the model is not directly observable. A methodology is developed for estimating and testing the coefficient functions of this unobserved diffusion process. The estimation is based on the observations of the index process and uses semiparametric and non-parametric techniques. The testing is performed via the wild bootstrap resampling technique. The method is illustrated on S&P 500 index data.     

The Limit Distribution of the Bootstrap for the Unit Root Test Statistic when the Residuals are Dependent

In this article, the unit root test for the AR(1) model with dependent residuals is considered. We adopt a bootstrap procedure to bootstrap the residuals with bootstrap sample size m less than the size n of the original sample. Under the assumptions that m → ∞ and m/n → 0, the convergence in probability of the bootstrap distribution function is established. Research supported by National Natural Science Foundation of China (No. 10471126)     

Technical,quality and environmental efficiency of the olive oil industry

This paper studies the level of technical efficiency in the olive oil industry from a multi-output perspective, and examines olive oil production in quantitative and qualitative terms. The study also covers the environmental impact of the production process. These are key issues due to the current environmental, organoleptic and food traceability requirements of the EU Common Agricultural Policy (CAP). Furthermore, product differentiation is sought after in today’s ever more demanding markets. The production of olive oil in Andalusia (Spain) is the most important agricultural food industry in the whole region and it represents 30% of world olive oil production. Three data sources have been used: a comprehensive survey to a sample of olive oil producers, their financial reports, and the opinion of a group of experts in olive oil production techniques interviewed by means of the Delphi survey. With this data and after the construction of indicators, a production frontier is elaborated by applying an extension of the Data Envelopment Analysis (DEA) technique. This will allow for the measuring of the relative technical efficiency indices and set specific efficiency indices for both the quality of the oil produced and the environmental impact of the production process. Those factors impacting on efficiency are determined by a truncated regression model with bootstrap. The results show a medium–high level of relative technical efficiency and highlight the importance of efficiency factors involving production and marketing associations.     

河西地区野菜资源的开发利用

论述了适应河西地区开发的17个科，近30个种类的野菜资源的形态特征，营养成分，食用方法以及保健功效。     

Violation of the iid-normal assumption: Effects on tests of asset-pricing models using Australian data

Financial data are typically not identically, independently and normally distributed (iid-normal). Yet, standard tests of asset-pricing models are based on this assumption, and we have little information on how sensitive the tests are to violations of iid-normality. Recent evidence suggests that test outcomes may be sensitive to these violations. In this paper, we use Australian data to compare the standard test results with those that do not require iid-normality: the GMM-J test and bootstrap-based tests. We find that different tests produce differences in prob values at least as large as those in US studies but that test outcomes are generally robust.