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| Registros recuperados: 15 | |
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| Elvarsson, B. P.; Taylor, L.; Trenkel, Verena; Kupca, V.; Stefansson, G.. |
| Statistical models of marine ecosystems use a variety of data sources to estimate parameters using composite or weighted likelihood functions with associated weighting issues and questions on how to obtain variance estimates. Regardless of the method used to obtain point estimates, a method is required for variance estimation. A bootstrap technique is introduced for the evaluation of uncertainty in such models, taking into account inherent spatial and temporal correlations in the datasets, which are commonly transferred as assumptions from a likelihood estimation procedure into Hessian-based variance estimation procedures. The technique is demonstrated on a real dataset and the effects of the number of bootstrap samples on estimation bias and variance... |
| Tipo: Text |
Palavras-chave: Bootstrapping; Correlated data; Fish population dynamics; Non-linear models. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00193/30459/29913.pdf |
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| Sari,Bruno Giacomini; Lúcio,Alessandro Dal’Col; Olivoto,Tiago; Krysczun,Dionatan Ketzer; Tischler,André Luís; Drebes,Lucas. |
| Abstract: The objective of this work was to evaluate the interference of sample size on multicollinearity diagnosis in path analysis. From the analyses of productive traits of cherry tomato, two Pearson correlation matrices were obtained, one with severe multicollinearity and the other with weak multicollinearity. Sixty-six sample sizes were designed, and from the amplitude of the bootstrap confidence interval, it was observed that sample size interfered on multicollinearity diagnosis. When sample size was small, the imprecision of the diagnostic criteria estimates interfered with multicollinearity diagnosis in the matrix with weak multicollinearity. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Solanum lycopersicum; Bootstrapping; Multivariate analysis; Sampling. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000600769 |
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| Balcombe, Kelvin George; Davidova, Sophia; Latruffe, Laure. |
| This paper employs bootstrapping to correct for bias and to construct confidence intervals for Malmquist TFP indices derived with DEA. It uses these results to investigate the productivity change in Polish agriculture during a crucial period of the country's transition to a market economy, 1996-2000, when Poland was preparing for accession to the European Union. The bias corrected estimates show regress in productivity at an annual rate of 4 percent. The confidence intervals suggest that between two-thirds and four-fifths of the sample farms (250) in different years might have experienced no change in productivity. The cluster analysis based on confidence bounds reveals three paths of productivity change. Farms which recorded an increase in productivity at... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Malmquist indices; Bootstrapping; Poland; Farms; Productivity change; Productivity Analysis; D24; Q12; C6. |
| Ano: 2005 |
URL: http://purl.umn.edu/24572 |
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| Balcombe, Kelvin George; Davidova, Sophia; Latruffe, Laure. |
| The paper assesses the extent to which sampling variation affects findings about Malmquist productivity change derived using Data Envelopment Analysis (DEA), in the first stage calculating productivity indices and in the second stage investigating the farm-specific change in productivity. Confidence intervals for Malmquist indices are constructed using Simar and Wilson's (1999) bootstrapping procedure. The main contribution of the paper is to account in the second stage for the information provided by the bootstrap in the first stage. The DEA standard errors of the Malmquist indices given by bootstrapping are employed in an innovative heteroscedastic panel regression, using a maximum likelihood procedure. The application is to a sample of 250 Polish farms... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Productivity; Malmquist; Bootstrapping; Second-stage regression; Poland; Productivity Analysis. |
| Ano: 2006 |
URL: http://purl.umn.edu/25793 |
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| Monchuk, Daniel C.; Zhuo, Chen. |
| In this paper we examine more closely the factors associated with production inefficiency in China’s agriculture. The approach we take involves a two-stage process where output efficiency scores are first estimated using data envelope analysis (DEA), and then in the second stage, variation in the resulting efficiency scores are explained using a truncated regression model with inference based on a semi-parametric bootstrap routine. Among the results we find a heavy industrial presence is associated with reduced agricultural production efficiency and may be an indication that externalities from the industrial process, like air and ground water pollution, affect agricultural production. We also find evidence that counties with a large percentage of the rural... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: China's agriculture; DEA; Bootstrapping; Technical efficiency; Production Economics; C14; Q1; R5. |
| Ano: 2008 |
URL: http://purl.umn.edu/6456 |
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| Sauer, Johannes. |
| This research contributes to the ongoing discussion on functional flexibility and theoretical consistency by comparing the empirical performance of two second order flexible functional forms - the Symmetric Generalized McFadden and the Transcendental Logarithmic. It proposes an estimation procedure to enhance the domain of applicability for the Translog by a combination of matrix decomposition, classical non-linear estimation techniques as well as bootstrapping based resampling. The validity of the proposed procedure is exemplified by applying it to a sample of small-scale farmers. The results show that the range of theoretical consistency can be crucially enhanced for the Translog functional form by maintaining its flexibility and statistical... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Econometric Modeling; Flexible Functional Forms; Theoretical Consistency; Bootstrapping; Financial Economics. |
| Ano: 2006 |
URL: http://purl.umn.edu/14948 |
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| Soboh, Rafat; Oude Lansink, Alfons G.J.M.; van Dijk, Gert. |
| Providing a performance measure of any firm is a crucial issue, not only for the stakeholders of the firm, but also for policy makers, labor unions, and economists. The relevant performance measures should consider the objectives of the firm’s owners. The ownership structure of cooperatives is different from that of investors owned firms, which in principle implies the need of different tools to measure their performance. Typically, however, the performance of cooperatives and investor owned firm is mostly compared using the same approach. In this study, we use Data Envelopment Analysis (DEA) to compare the performance of dairy cooperatives and investor owned firms in major European dairy producing countries using a traditional approach, which views both... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: DEA; Hyperbolic efficiency; Cooperatives; Investor Owned Firms; Bootstrapping; Agricultural and Food Policy. |
| Ano: 2009 |
URL: http://purl.umn.edu/58132 |
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| Registros recuperados: 15 | |
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