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Nutrient Demand Elasticities with Noisy Measures of Household Resources AgEcon
Gibson, John.
Many studies suggest that changes in household economic resources (incomes and expenditure) have little effect on nutrient intakes and child malnutrition in developing countries. This paper examines the impact that errors-in-variables have on inferences about the importance of household incomes to the calorie and protein demands of households. Results are based on a new household survey from Papua New Guinea, with repeated observations on households during the year. These repeated observations allow regression estimates to be corrected for the differing reliabilities of the explanatory variables.
Tipo: Presentation Palavras-chave: Errors-in-variables; Income; Nutrition; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; I32; O15.
Ano: 1999 URL: http://purl.umn.edu/123807
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Regional crop supply behaviour in the EU AgEcon
Jansson, Torbjorn; Heckelei, Thomas.
The objective of this paper is to present an evolution of PMP model suitable to estimate the revenue function and to provide price elasticity due to the variation of subsidies at farm level, especially if they are decoupled. This problem arises when individual data of farm households in a given region, coming from FADN, are used for implement PMP models finalized to policy analysis. This paper presents the theoretical background of the proposed innovations and empirical evidence on the basis of a sample of farms included in FADN database in Italy.
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian estimation; Errors-in-variables; PMP; Crop Production/Industries.
Ano: 2008 URL: http://purl.umn.edu/44009
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Estimation of supply response in CAPRI AgEcon
Jansson, Torbjorn.
The primary objective of this paper is to estimate behavioural parameters of the quadratic regional supply models in the modelling system CAPRI, using the time series data in the CAPRI database. A secondary objective is to replace the constant yields of the original model by functions that depend on input use. Due to lack of statistical robustness, the second objective is not achieved, thus yields remain constant. A Bayesian highest posterior density estimator is developed to address the primary objective. After discarding regions with insufficient data, parameters for up to 23 crop production activities with related inputs, outputs, prices and behavioural functions are estimated for 165 regions in EU-15. The results are systematically compared to the...
Tipo: Working or Discussion Paper Palavras-chave: Bayesian estimation; Errors-in-variables; PMP; Research Methods/ Statistical Methods; Q11; C32.
Ano: 2007 URL: http://purl.umn.edu/57030
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