Estimação do sistema quase ideal de demanda para uma cesta ampliada de produtos empregando dados da POF de 2002-2003

Abstract

Neste artigo são estimadas elasticidades-preço, elasticidades-cruzadas e elasticidades-dispêndio para 27 grupos de produtos a partir dos microdados da POF de 2002-2003. Para tanto, é usada a versão não-linear do sistema quase ideal de demanda (NL-AIDS). Os parâmetros do sistema são obtidos usando uma regressão aparentemente não-relacionada com iteração (ITSUR). A maioria das elasticidades-preço para produtos alimentícios apresentou valor absoluto menor do que 1. Os produtos nãoalimentícios, de uma forma geral, tampouco apresentaram alta elasticidade-preço e as elasticidades-dispêndio foram condizentes com o esperado.<br>This paper aimed to estimate price-elasticities, cross-elasticities and expenditure-elasticities for 27 groups of products in Brazil. Brazilian Household Budgets Research (POF) 2002-2003 microdata were used on the estimations of non-linear almost ideal demand systems (NL-AIDS). The parameters used in the NL-AIDS were previously estimated using iterated seemingly unrelated regressions (ITSUR). Most of the estimations showed that price-elasticities for food products are lower than one. On the other hand, non-food products did not show high price-elasticities. Expenditure-elasticities were in accordance with previous assumptions

Consumption patterns and demand in households headed by the elderly: evidence from Brazil

“…The same author found own-price elasticities for housing, clothing and public transportation products close to unity. Unlike us, Pinto-Payeras (2009) found own-price elasticities for health below unity or inelastic to price variation. In addition, he found that own-price elasticities for private transportation were higher than 1.…”

“…Asano and Fiúza (2001) also found expenditure elasticities of 1.184 for clothing products. However, other studies, such as Pinto-Payeras (2009)and Almeida (2011), who estimated income and price elasticities for 31 commodities using POF 2008/09 micro data for the same 11 metropolitan areas, found expenditure elasticities for clothing below unity, 0.92 and 0.95 respectively. In relation to transportation, we expected expenditure elasticities for this good to be higher than what we found.…”

“…The authors found expenditure elasticities for housing and furniture of 0.818 and 1.316 respectively for POF 1995/96. Pinto-Payeras (2009), who estimated price elasticities, cross-elasticities and expenditure elasticities for 27 groups of products using POF 2002–2003 micro data for the same 11 metropolitan areas, found expenditure elasticity for housing and home appliances close to unity.…”

Peer effects in consumption: a spatial demand system estimation using data from Brazil

“…Direct effect elasticities are higher in absolute value than the traditional elasticities for all categories except Oil and fats. Overall, the elasticities found are at the same range as the values found by the literature on food demand estimation for the Brazilian context (Menezes et al, 2008;Pintos-Payeras, 2009;Leifert and Lucinda, 2015). However, our results are not directly comparable due to differences in data (most of the studies are based on national data from different periods), demand function, and definition of product categories.…”

Gastos Domiciliares nas Regiões Metropolitanas: Uma Análise não Paramétrica Kernel usando Dados de Pseudo-Painel

“…No Brasil, seguindo a literatura internacional, o número de estudos sobre demanda é bastante extenso conforme permitem atestar os dois volumes editados por (Silveira et al, 2006(Silveira et al, , 2007, compostos por trabalhos já publicados e inéditos. Incluem-se também nesse menu os trabalhos de: (Resende e Oliveira, 2008;Coelho et al, 2009;Pintos-Payeras, 2009;Hoffmann, 2010;Silva et al, 2012; Pereda e Alves, 2012; Barbosa et al, 2013;Silva e Coelho, 2014;Oliveira e Hoffmann, 2015;Travassos e Coelho, 2014;Ferreira et al, 2016). 1 Em geral, a maior parte dos trabalhos supracitados: 1) parte do uso extensivo das pesquisas de orçamentos familiares do IBGE, e 2) está fundamentada nos trabalhos seminais de (Working, 1943) e (Leser, 1963).…”