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| Registros recuperados: 24 | |
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| Ishdorj, Ariun; Jensen, Helen H.. |
| When using household-level data in examining consumer's demand it is common to find that consumers purchase only a subset of the available goods, setting the demand for the remaining goods to zero. Ignoring such censoring of the dependent variables in the estimation can lead to biased parameter estimates. In this paper we investigate the household's demand for six types of whole grain and non-whole grain breakfast cereals and products using a censored Almost Ideal Demand System (AIDS) and estimate the parameters of the demand system via Bayesian methods. Using 2006 ACNielsen Homescan data we find that demand for whole grain and non-whole grain ready-to-eat cereals is less responsive to changes in prices; demand for whole-grain bars and non-whole grain hot... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: AIDS model; Bayesian econometrics; Censored; Cereals; Whole grains; Demand and Price Analysis; C11; C34; D12. |
| Ano: 2008 |
URL: http://purl.umn.edu/6075 |
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| Dong, Diansheng; Kaiser, Harry M.; Myrland, Oystein. |
| In this study, we develop and estimate a censored LA/AIDS model using household-level purchase data. In addition to imposing non-negativitity constraints, we account for the endogeneity of unit value. We address the non-negativity issue using an Amemiya-Tobin approach, which imposes the adding-up condition on both observed and latent shares. We address the endogeneity of unit value by estimating share equations and unit value equations simultaneously. Given the need to evaluate high-order probability integrals, we use a simulated probability method in the model estimation. This model is applied to estimate and analyze a demand system featuring six fish and three meat commodities, using Norwegian household data. |
| Tipo: Technical Report |
Palavras-chave: Demand and Price Analysis; Research Methods/ Statistical Methods; C34; D12.. |
| Ano: 2003 |
URL: http://purl.umn.edu/122119 |
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| Alviola, Pedro A., IV; Capps, Oral, Jr.; Wu, Ximing. |
| A censored Almost Ideal Demand System (AIDS) and a Quadratic Almost Ideal Demand System (QUAIDS) were estimated in modeling non-alcoholic beverages. Five estimation techniques were used, including the conventional Iterated Seemingly Unrelated Regression (ITSUR), two-stage methods such as the Heien and Wessells (1990) and the Shonkwiler and Yen (1999) approaches, the generalized maximum entropy method and the Amemiya-Tobin framework of Dong, Gould and Kaiser (2004). Our results based on various specifications and estimation techniques are quantitatively similar and indicate that price elasticity estimates have a greater variability in more highly censored non-alcoholic beverage items such as tea, coffee and bottled water as opposed to less censored... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Censored demand systems; AIDS; QUAIDS; Two-Step Methods; Generalized Maximum Entropy; Amemiya-Tobin Framework; Non-Alcoholic Beverages; Agribusiness; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; C34; D12. |
| Ano: 2009 |
URL: http://purl.umn.edu/60462 |
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| Holloway, Garth J.; Mazzocchi, Mario; Perali, Carlo Federico. |
| We generalize the Tobit censored regression to permit unique unobserved censoring thresholds conditioned by covariates and a set of common response coefficients. This situation , we argue, is one arising frequently in applications of censored regression and we provide three diverse examples to motivate the theory. We derive a robust estimation algorithm with three noteworthy features. First, by augmenting the observed-data likelihood with the censored observations, the estimation strategy is the same as Chib (1992) who derives Bayes estimates of the conventional censored regression. Second, by virtue of its generality, the model is applicable to a much broader set of circumstances than the conventional Tobit regression, which is nested as a special case of... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Conditionally censored Tobit regression; Bayes inference; Food Consumption/Nutrition/Food Safety; O11; C34; O13. |
| Ano: 2006 |
URL: http://purl.umn.edu/25293 |
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| Registros recuperados: 24 | |
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