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| Registros recuperados: 2.166 | |
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| Perali, Carlo Federico; Cox, Thomas L.. |
| This study examines some of the issues that are often encountered when analysing the socio-economic information of expenditure surveys using the Colombian 1985 urban expenditure survey as an example. This study discusses the problem of estimating prices when only information on expenditures and demographic characteristics is available, the options available when aggregating commodities and defining demographic or labour information, and the advantages and drawbacks in choosing total expenditure as a proxy for income or as the metric for poverty measurement. The study also applies non-parametric density estimation as a form of exploratory data analysis and as a means to learn from the data about the most proper parametric specification. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Research Methods/ Statistical Methods. |
| Ano: 1995 |
URL: http://purl.umn.edu/12683 |
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| Gracia, Azucena; de Magistris, Tiziana; Casado, Jose Maria. |
| The aim of the paper is to provide an econometric, dynamic, multi-product and partial equilibrium model for the Spanish agriculture able to analyse the effects of the SFP and subsequent reforms in both the irrigated and non-irrigated cultivation. In the case of the EU Mediterranean countries, irrigated agriculture is very relevant because farmers in irrigated land get higher productivity and returns. However, irrigation is also the source of a number of environmental concerns, such as over-abstraction of water from subterranean aquifers, irrigation driven erosion, soil salinisation, etc.. The new decoupling direct payments from production will reduce many of the incentives to intensive production. The developed model is called Spanish Econometric... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: CAP reform; Partial equilibrium model; Policy modelling; Irrigated Agriculture; Simulation; Agricultural and Food Policy; Land Economics/Use; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/6590 |
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| Hoveid, Oyvind. |
| A model of a (convex) technology of representative and non-representative firms in a heterogeneous sector is presented in non-parametric and parametric versions. The heterogeneity is specified with error terms. The models including a non-parametric distribution of the errors can be estimated with entropy econometrics from firm survey data. This requires two important modifications in the standard approach to entropy estimation of Golan, Judge and Miller: The compact support of the probability distribution should be designed to capture eventual non-zero covariance. And cross-entropy need to be redefined for cases of multiple observations. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Research Methods/ Statistical Methods. |
| Ano: 2000 |
URL: http://purl.umn.edu/21851 |
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| Harrison, David A.; Brady, Anthony R.. |
| The standard formulas for sample size and power calculation, as implemented in the command sampsi, make use of a normal approximation to the t-distribution. When the sample sizes are small, this approximation is poor, resulting in overestimating power (or underestimating sample size). One particular situation in which this is likely to be important is the field of cluster randomized trials. Although the total number of individuals in a cluster randomized trial may be large, the number of clusters will often be small. We present a simulation study from the design of a cluster randomized crossover trial that motivated this work and a command to perform more accurate sample size and power calculations based on the noncentral t-distribution. |
| Tipo: Journal Article |
Palavras-chave: Sampncti; Sample size; Power; Noncentral t-distribution; Research Methods/ Statistical Methods. |
| Ano: 2004 |
URL: http://purl.umn.edu/116234 |
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| Jansson, Torbjorn. |
| In this article, it is shown how the parameters of a transport model can be estimated in a way that, in contrast to previously used methods, utilizes observations of regional prices as well as of trade costs. The proposed method uses bi-level programming to minimize a weighted least squares criterion under the restriction that the estimated parameters satisfy the Kuhn-Tucker conditions for an optimal solution of the transport model. We use Monte-Carlo simulations to trace out some properties of the estimator and compare it with a traditional calibration method. The analysis shows that the proposed technique estimates prices as well as trade costs more efficiently. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Spatial equilibrium; Transport model; Bi-level programming; Research Methods/ Statistical Methods; C15; F11. |
| Ano: 2005 |
URL: http://purl.umn.edu/18787 |
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| Registros recuperados: 2.166 | |
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