O processo de decisão do cliente de alta renda na aquisição de imóveis residenciais na cidade de São Paulo

O trabalho investiga, de modo exploratório, o processo de decisão de compra de um imóvel residencial pelo público de alta renda na cidade de São Paulo. Para tal, este estudo parte da literatura para indicar a importância do posicionamento estratégico de foco no cliente e da compreensão do seu processo de tomada de decisão de compra, como fonte de vantagem competitiva. Segue então uma etapa de campo na qual são realizadas entrevistas em profundidade com doze indivíduos do publico alvo que compraram apartamento em período não superior a três anos, em busca de evidências de como se dá o seu processo de decisão de compra e dos atributos por eles valorizados, responsáveis pelo sucesso ou insucesso de um novo empreendimento imobiliário. Através das entrevistas, pudemos perceber que: o reconhecimento do problema se deu primordialmente através de estados de desconforto função de alterações no ciclo de vida da família; os atributos mais relevantes foram: localização, condições de financiamento e programa interno do apartamento; a busca por informações se deu principalmente através de visitas à região de interesse; a família teve grande influência na compra; a avaliação de alternativas foi feita em função do grau de importância dado aos diferentes atributos; e, uma vez identificada à necessidade, procurou-se satisfazê-Ia de forma imediata. Como pontos de insatisfação foram referidos: área de garagem pequena, entrega do apartamento sem as áreas comuns equipadas e decoradas, pouca preocupação com segurança na etapa de projeto e falta de tubulação de ar condicionado. Com base nos resultados encontrados, este trabalho conclui que existe oportunidade para empresas do ramo de incorporação imobiliária que ainda não possuem foco no cliente, de estabelecer um canal de comunicação direto com os clientes para compreensão das suas necessidades e desejos, e utilizar tais informações para ganhar vantagem competitiva.

On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century

Lucas (1987) has shown a surprising result in business-cycle research: the welfare cost of business cycles are very small. Our paper has several original contributions. First, in computing welfare costs, we propose a novel setup that separates the effects of uncertainty stemming from business-cycle fluctuations and economic-growth variation. Second, we extend the sample from which to compute the moments of consumption: the whole of the literature chose primarily to work with post-WWII data. For this period, actual consumption is already a result of counter-cyclical policies, and is potentially smoother than what it otherwise have been in their absence. So, we employ also pre-WWII data. Third, we take an econometric approach and compute explicitly the asymptotic standard deviation of welfare costs using the Delta Method. Estimates of welfare costs show major differences for the pre-WWII and the post-WWII era. They can reach up to 15 times for reasonable parameter values -β=0.985, and ∅=5. For example, in the pre-WWII period (1901-1941), welfare cost estimates are 0.31% of consumption if we consider only permanent shocks and 0.61% of consumption if we consider only transitory shocks. In comparison, the post-WWII era is much quieter: welfare costs of economic growth are 0.11% and welfare costs of business cycles are 0.037% - the latter being very close to the estimate in Lucas (0.040%). Estimates of marginal welfare costs are roughly twice the size of the total welfare costs. For the pre-WWII era, marginal welfare costs of economic-growth and business- cycle fluctuations are respectively 0.63% and 1.17% of per-capita consumption. The same figures for the post-WWII era are, respectively, 0.21% and 0.07% of per-capita consumption.

On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century

Lucas(1987) has shown a surprising result in business-cycle research: the welfare cost of business cycles are very small. Our paper has several original contributions. First, in computing welfare costs, we propose a novel setup that separates the effects of uncertainty stemming from business-cycle uctuations and economic-growth variation. Second, we extend the sample from which to compute the moments of consumption: the whole of the literature chose primarily to work with post-WWII data. For this period, actual consumption is already a result of counter-cyclical policies, and is potentially smoother than what it otherwise have been in their absence. So, we employ also pre-WWII data. Third, we take an econometric approach and compute explicitly the asymptotic standard deviation of welfare costs using the Delta Method. Estimates of welfare costs show major diferences for the pre-WWII and the post-WWII era. They can reach up to 15 times for reasonable parameter values = 0:985, and = 5. For example, in the pre-WWII period (1901-1941), welfare cost estimates are 0.31% of consumption if we consider only permanent shocks and 0.61% of consumption if we consider only transitory shocks. In comparison, the post-WWII era is much quieter: welfare costs of economic growth are 0.11% and welfare costs of business cycles are 0.037% the latter being very close to the estimate in Lucas (0.040%). Estimates of marginal welfare costs are roughly twice the size of the total welfare costs. For the pre-WWII era, marginal welfare costs of economic-growth and business-cycle uctuations are respectively 0.63% and 1.17% of per-capita consumption. The same gures for the post-WWII era are, respectively, 0.21% and 0.07% of per-capita consumption.

Unit roots and the welfare gains of cycle smoothing

li consumption is log-Normal and is decomposed into a linear deterministic trend and a stationary cycle, a surprising result in business-cycle research is that the welfare gains of eliminating uncertainty are relatively small. A possible problem with such calculations is the dichotomy between the trend and the cyclical components of consumption. In this paper, we abandon this dichotomy in two ways. First, we decompose consumption into a deterministic trend, a stochastic trend, and a stationary cyclical component, calculating the welfare gains of cycle smoothing. Calculations are carried forward only after a careful discussion of the limitations of macroeconomic policy. Second, still under the stochastic-trend model, we incorporate a variable slope for consumption depending negatively on the overall volatility in the economy. Results are obtained for a variety of preference parameterizations, parameter values, and different macroeconomic-policy goals. They show that, once the dichotomy in the decomposition in consumption is abandoned, the welfare gains of cycle smoothing may be substantial, especially due to the volatility effect.