Demand Systems Estimation With Microdata: A Censored Regression Approach

Heien, Dale; Wesseils, Cathy Roheim

doi:10.1080/07350015.1990.10509807

Cited by 262 publications

(94 citation statements)

References 26 publications

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“…But in a system of equations, the Heckman solution is not straightforward and the literature on this problem is rare. Heien and Wessells (1990) propose to include Heckman-style correction terms in all equations and estimate the system on all observations. Shonkwiler and Yen (1999) find that this procedure is biased and propose their own estimator, which provides consistent estimation of censored systems of equations.…”

Section: Estimationmentioning

confidence: 99%

Estimating a Consumer Demand System of Energy, Mobility and Leisure: A Microdata Approach for Germany

Beznoska

2014

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. 1 Abstract This paper investigates empirically the consumer demand of environmentally relevant goods for Germany, as well as their relationship to the demand for leisure. Higher prices for energy goods like gas, electricity or fuel oil due to higher indirect taxation amongst others may have serious welfare and distributional effects for households. Also, there is very little evidence of the labor market implications of environmental taxation, as there is e.g. no quantification of labor supply effects, respectively leisure demand effects for Germany. Using a demand system to estimate the price, cross-price and income effects of the goods mobility, electricity, heating and leisure from microdata, there will also be accounted for the extensive demand for leisure, which is the not negligible labor market participation. Additionally, the extensive and intensive leisure demand is combined to total leisure demand elasticities, which can then be used for welfare and behavior analyses. Terms of use: Documents in

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Section: Estimationmentioning

confidence: 99%

Estimating a Consumer Demand System of Energy, Mobility and Leisure: A Microdata Approach for Germany

Beznoska

2014

SSRN Journal

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“…En los hogares donde no se observa el consumo de gas natural u otro combustible residencial, el precio de este combustible se obtiene a partir de la predicción de un modelo auxiliar que regresa el precio de los hogares, donde se conoce esta información, sobre un conjunto de variables sociodemográficas (Heien y Wessells, 1990;Hoderlein y Mihaleva, 2008).…”

Section: Datosunclassified

Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado

Gálvez

Mariel

Hoyos

2016

Estudios de Economía

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Resumen El presente artículo analiza la demanda residencial española en los bienes Abstract This paper analyses the Spanish residential demand of a bundle of goods conforming the basic services of the households (i.e. electricity, natural gas and drinking water) in 2012. The analysis is made using a QUAIDS model modified in order to consider the censoring in the consumption of natural gas following the approach of Tauchmann (2010), one of the latest advances in this field. The * Los autores agradecen el apoyo financiero tanto del Gobierno Vasco como de la UPV/ EHU mediante los proyectos IT-642-13, UFI11/03, US12/09 y US15/11. Además, los autores agradecen al editor y a los revisores anónimos sus comentarios acerca del trabajo. Sus sugerencias nos han permitido mejorar sustancialmente la calidad del mismo.

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“…Both reasons are approached by different techniques. In the first case, the bias is reduced by including censored data in the estimation of the budget shares (see Heien and Wessels, 1990;and Shonkwiler and Yen, 1999) while in the second one the problem is solved by using income as an instrumental variable of total spending (Keen, 1986). Perales and Chavas (2000) show that, for the case of Colombian urban households, the reason why the survey reports zero consumption is because of corner solutions.…”

Section: Model and Methodologymentioning

confidence: 99%

A spatial cost of living index for Colombia using a microeconomic approach and censored data

Atuesta

Paredes

2012

Applied Economics Letters

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SUMMARYThis paper describes a methodology to calculate a spatial cost of living index using Colombian data for 2006 that takes into consideration the microeconomic behavior of households. Using the Almost Ideal Demand System and recovering the expenditure functions for the 23 main Colombian cities, the index proposed is compared to the traditional methodologies used to calculate the regional basket of goods in the country and to an alternative methodology proposed by Romero (2005). This comparison suggests that when the substitution effects are not considered, and the same basket of goods is evaluated in every city, the index is biased, and this bias increases when the difference between cities increases. For reducing the bias, we use a microeconomic approach that keeps the households' level of utility constant and allows substitution among different baskets of goods. According to our calculations, Bogota is still the most expensive city in the country followed by Armenia, Cali, Bucaramanga and Ibague.

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Demand Systems Estimation With Microdata: A Censored Regression Approach

Cited by 262 publications

References 26 publications

Estimating a Consumer Demand System of Energy, Mobility and Leisure: A Microdata Approach for Germany

Estimating a Consumer Demand System of Energy, Mobility and Leisure: A Microdata Approach for Germany

Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado

A spatial cost of living index for Colombia using a microeconomic approach and censored data

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