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Registros recuperados: 33 | |
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Ghermandi, Andrea; Nunes, Paulo A.L.D.. |
The welfare dimension of the recreational services provided by global coastal ecosystems is examined through a meta-analytical regression-based valuation approach. First, we construct a global, state-of-the-art database of stated and revealed preference estimates on coastal recreation, which includes also the grey literature and with the latest entry updated to February 2010. Second, the profile of each of the 253 observations of our dataset, which correspond to individual value estimates, was further enriched with characteristics of the built coastal environment (site accessibility, anthropogenic pressure, level of human development), characteristics of the natural coastal environment (presence of protected area, type of ecosystem, and marine... |
Tipo: Working or Discussion Paper |
Palavras-chave: Built Coastal Environment; Natural Coastal Environment; Ecosystem Service Valuation; Geographic Information Systems; Mapping Ecosystem Values; Marine Biodiversity; Scaling up; Spatial Analysis; Spatial Economic Valuation; Value Transfer; Environmental Economics and Policy; C53; Q26; Q57; R12. |
Ano: 2011 |
URL: http://purl.umn.edu/108205 |
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Sanders, Dwight R.; Manfredo, Mark R.. |
A battery of time series methods are compared for forecasting basis levels in the soybean futures complex: soybeans, soybean meal, and soybean oil. Specifically, nearby basis forecasts are generated with exponential smoothing techniques, autoregression moving average (ARMA), and vector autoregression (VAR) models. The forecasts are compared to those of the 5-year average, year ago, and no change methods. Using the 5-year average as the benchmark method, the forecast evaluation results suggest that alternative naive techniques may produce better forecasts, and the improvement gained by time series modeling is relatively small. In this sample, there is little evidence that the basis has become systematically more difficult to forecast in recent years. |
Tipo: Journal Article |
Palavras-chave: Basis forecasts; Time series models; Soybean complex; Risk and Uncertainty; C53; Q13. |
Ano: 2006 |
URL: http://purl.umn.edu/43790 |
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Chen, Zhuo; Cho, Seong-Hoon; Poudyal, Neelam C.; Roberts, Roland K.. |
This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket assumptions. Using home sale data for the City of Knoxville and vicinities merged with geographic information, we found that forecasting housing prices with submarkets defined using expert knowledge and by school district and combining information conveyed in different modeling strategies are more accurate and efficient than models that are spatially aggregated, or with submarkets defined by statistical clustering techniques. This finding provided useful implications for housing price prediction in an urban setting and surrounding areas in that forecasting models based on expert knowledge of market structure or public school quality and simple... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Clustering; Forecasting; Hedonic price; Housing Submarket; Demand and Price Analysis; C53; R21. |
Ano: 2007 |
URL: http://purl.umn.edu/9689 |
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Auffhammer, Maximilian; Carson, Richard T.. |
Our results suggest that the anticipated path of China's Carbon Dioxide (CO2) emissions has dramatically increased over the last five years. The magnitude of the projected increase in Chinese emissions out to 2015 is several times larger than reductions embodied in the Kyoto Protocol. Our estimates are based on a unique provincial level panel data set from the Chinese Environmental Protection Agency. This dataset contains considerably more information relevant to the path of likely Chinese greenhouse gas emissions than national level time series models currently in use. Model selection criteria clearly reject the popular static environmental Kuznets curve specification in favor of a class of dynamic models with spatial dependence. |
Tipo: Working or Discussion Paper |
Palavras-chave: Forecasting; Climate Change; China; Model Selection; Environmental Economics and Policy; Q43; C53. |
Ano: 2006 |
URL: http://purl.umn.edu/7197 |
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Flury, Christian; Mack, Gabriele; Rieder, Peter; Pfefferli, S.. |
Switzerland aims to liberalise the milk market by 2011. This will result in distinctive changes in the basic conditions for agriculture. The impacts of the liberalisation are investigated with a composite model obtained by combining an optimization model for the agricultural sector and a dynamic simulation model for the milk and meat market. The calculations with the composite model indicate that the milk price depends strongly on the phasing out of market support, while the abolition of milk quotas in 2009 is less decisive. An introduction of a dairy cow premium leads to a higher milk production, especially with abolished milk quotas. In this case the European milk price level represents the lower limit for the milk price in Switzerland. Compared to the... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Dynamic simulation; Sectoral optimisation; Milk market; Milk quota; Agribusiness; C53; C61; O21; Q13; Q18. |
Ano: 2005 |
URL: http://purl.umn.edu/24507 |
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Bastianin, Andrea. |
In this paper I have used copula functions to forecast the Value-at-Risk (VaR) of an equally weighted portfolio comprising a small cap stock index and a large cap stock index for the oil and gas industry. The following empirical questions have been analyzed: (i) are there nonnormalities in the marginals? (ii) are there nonnormalities in the dependence structure? (iii) is it worth modelling these nonnormalities in risk- management applications? (iv) do complicated models perform better than simple models? As for questions (i) and (ii) I have shown that the data do deviate from the null of normality at the univariate, as well as at the multivariate level. When considering the dependence structure of the data I have found that asymmetries show up in their... |
Tipo: Working or Discussion Paper |
Palavras-chave: Copula functions; Forecasting; Value-At-Risk; Risk and Uncertainty; C32; C52; C53; G17; Q43. |
Ano: 2009 |
URL: http://purl.umn.edu/50452 |
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Registros recuperados: 33 | |
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