997 resultados para price discovery


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This paper investigates the relationship between consumer demand and corporate performance in several consumer industries in the UK, using two independent datasets. It uses data on consumer expenditures and the retail price index to estimate Almost Ideal Demand Systems on micro-data and compute timevarying price elasticities of demand for disaggregated commodity groups. Then, it matches the product definitions to the Standard Industry Classification and uses the estimated elasticities to investigate the impact of consumer behaviour on firm-level profitability equations. The time-varying household characteristics are ideal instruments for the demand effects in the firms' supply equation. The paper concludes that demand elasticities have a significant and tangible impact on the profitability of UK firms and that this impact can shed some light on the relationship between market structure and economic performance.

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Cognition is a core subject to understand how humans think and behave. In that sense, it is clear that Cognition is a great ally to Management, as the later deals with people and is very interested in how they behave, think, and make decisions. However, even though Cognition shows great promise as a field, there are still many topics to be explored and learned in this fairly new area. Kemp & Tenembaum (2008) tried to a model graph-structure problem in which, given a dataset, the best underlying structure and form would emerge from said dataset by using bayesian probabilistic inferences. This work is very interesting because it addresses a key cognition problem: learning. According to the authors, analogous insights and discoveries, understanding the relationships of elements and how they are organized, play a very important part in cognitive development. That is, this are very basic phenomena that allow learning. Human beings minds do not function as computer that uses bayesian probabilistic inferences. People seem to think differently. Thus, we present a cognitively inspired method, KittyCat, based on FARG computer models (like Copycat and Numbo), to solve the proposed problem of discovery the underlying structural-form of a dataset.

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We analyze the impact on consumer prices of the size and bias of price comparison search engines. In the context of a model related to Burdett and Judd (1983) and Varian (1980), we develop and test experimentally several theoretical predictions. The experimental results confirm the model’s predictions regarding the impact of the number of firms, and the type of bias of the search engine, but reject the model’s predictions regarding changes in the size of the index. The explanatory power of an econometric model for the price distributions is significantly improved when variables accounting for risk attitudes are introduced.

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Consumers often pay different prices for the same product bought in the same store at the same time. However, the demand estimation literature has ignored that fact using, instead, aggregate measures such as the “list” or average price. In this paper we show that this will lead to biased price coefficients. Furthermore, we perform simple comparative statics simulation exercises for the logit and random coefficient models. In the “list” price case we find that the bias is larger when discounts are higher, proportion of consumers facing discount prices is higher and when consumers are more unwilling to buy the product so that they almost only do it when facing discount. In the average price case we find that the bias is larger when discounts are higher, proportion of consumers that have access to discount are similar to the ones that do not have access and when consumers willingness to buy is very dependent on idiosyncratic shocks. Also bias is less problematic in the average price case in markets with a lot of bargain deals, so that prices are as good as individual. We conclude by proposing ways that the econometrician can reduce this bias using different information that he may have available.

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How have shocks to supply and demand affected global oil prices; and what are key policy implications following the resurgence of oil production in the United States? Highlights: − The recent collapse in global oil prices was dominated by oversupply. − The future of tight oil in the United States is vulnerable to obstacles beyond oil prices. − Opinions on tight oil from the Top 25 think tank organizations are considered. Global oil prices have fallen more than fifty percent since mid-2014. While price corrections in the global oil markets resulted from multiple factors over the past twelve months, surging tight oil production from the United States was a key driver. Tight oil is considered an unconventional or transitional oil source due to its location in oil-bearing shale instead of conventional oil reservoirs. These qualities make tight oil production fundamentally different from regular crude, posing unique challenges. This case study examines these challenges and explores how shocks to supply and demand affect global oil prices while identifying important policy considerations. Analysis of existing evidence is supported by expert opinions from more than one hundred scholars from top-tier think tank organizations. Finally, implications for United States tight oil production as well as global ramifications of a new low price environment are explored.

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A partir de meados dos anos 2000, a produção brasileira de etanol voltou a prosperar. Enquanto isso, em 2007 foi anunciada a descoberta de grandes reservas de petróleo na camada pré-sal no litoral brasileiro. Com isso, a perspectiva promissora para a indústria brasileira de etanol começou a dar lugar ao desenvolvimento de petróleo do pré-sal com um ambicioso programa de investimentos. Além disso, entre 2011 e 2014 o Governo adotou uma nova política de preços domésticos da gasolina e diesel, com o objetivo de reduzir as pressões inflacionárias, mas reduzindo gradualmente a competitividade do etanol, além de comprometer a situação financeira da Petrobras, dificultando investimentos no pré-sal. Considerando tais desafios e a importância dos setores de petróleo e etanol para a economia brasileira, este estudo tem como objetivo avaliar os impactos econômicos de longo prazo da exploração do pré-sal, com especial atenção para as consequências sobre o setor de etanol. É realizada uma avaliação dos impactos da política de controle do preço da gasolina do período 2011-2014 sobre o setor de etanol. Um modelo adaptado de equilíbrio geral dinâmico recursivo é empregado no qual o setor do petróleo do pré-sal é adicionado como uma tecnologia backstop. Os resultados sugerem que o estímulo precoce da produção do pré-sal para alcançar a produção de petróleo esperada pelo Governo traz mais custos do que benefícios para a economia brasileira. Constatou-se que sem interferência do governo, a produção de petróleo do pré-sal torna-se competitiva somente após 2025-2035. Com relação ao impacto sobre a indústria do etanol, verificou-se que o desenvolvimento do pré-sal não enfraquece a produção brasileira de etanol. No entanto, a política de controle de preço da gasolina teve um impacto negativo sobre o setor de etanol.

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Não é de hoje que o país assiste à descoberta de incontáveis casos de desvios de recursos públicos ou mesmo à má gestão de contratos de obra pública que ocasionam, além de grave prejuízo ao Erário, danos à sociedade, muitas vezes desprovida da utilidade que seria proporcionada pelo pactuado. Essas condutas normalmente são ensejadas por projetos de engenharia que podem ser considerados meras peças de ficção, pois não representam o esforço correto para a execução do bem que se deseja construir. A Lei nº 8.666/93 permite a licitação com base em projeto básico, o que, segundo a atual onda de pensamento brasileira, seja da doutrina, dos órgãos de controle, do Poder Legislativo e até mesmo da mídia, é, de fato, um sério problema a ser enfrentado, pois a sua contratação dá margem a aditivos, entendidos como os grandes vilões das obras públicas. Por isso, o Tribunal de Contas da União vem decidindo no sentido de fortemente restringir a possibilidade de alteração contratual e, além disso, tem capitaneado projetos no Congresso Nacional que visam praticamente à extinção da empreitada por preço unitário, espécie contratual na qual o risco do projeto, ainda sem as definições necessárias, acaba por ser assumido pela Administração contratante, responsável pela elaboração, e não pelo seu executor. Contudo, no caso de obras complexas de infraestrutura, deve-se perquirir se essa postura, que pretende acabar com a margem decisória do gestor público quanto à extensão da incompletude do projeto básico - e, portanto, do objeto do contrato -, merece ser repensada, não com vistas a possibilitar os recorrentes danos, mas no caminho de uma melhor programação das ações estatais. Isso porque nessas hipóteses, a busca por todas as informações necessárias para a confecção do projeto a ser ao final executado, no momento da elaboração do edital, ou é muito custosa ou simplesmente não é possível. Assim, seria mais eficiente a contratação integrada, prevista na Lei do Regime Diferenciado de Contratação, na qual o risco do projeto pode se alocado ao contratado. Ocorre que, como existem restrições, nem sempre é viável esse caminho. Nessa ordem de ideias, deve-se encontrar uma solução para que o tradicional contrato de obra pública supere os seus graves problemas de incentivos. A proposta do presente trabalho é a introdução de um procedimento de tomada de decisão transparente, que confira segurança jurídica e amplo conhecimento da sociedade, além de livre acesso aos órgãos de controle, a partir de critérios não apenas jurídicos, mas econômicos e técnicos.

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Ajuste assimétrico de preço é observado em diversos mercados, notavelmente varejo de gasolina: um aumento de custo é passado para os consumidores mais rápido do que uma redução. Eu desenvolvo um modelo de busca dos consumidores que gera essa predição sob aversão à perda. Uma fração dos consumidores ignora os preços no mercado e pode adquirir informação a um custo, o que permite que as firmas tenham lucro com dispersão de preços. Ajuste assimétrico de preço emerge se os consumidores são aversos a perdas em relação a um preço de referência. Custos mais altos tornam os consumidores mais dispostos a procurar, mas também diminui as chances de encontrar preços baixos, gerando uma relação custo-preço convexa.

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In field experiments with subjects living either inside or outside Brazilian slums (n=955), we show that consumers living in slums are less price sensitive, in opposition with recent price sensitivity research. Comparing slum and non-slum dwellers, we found that negatively stereotyped consumers (e.g. slum dwellers) were more likely to pay higher amounts for friendlier customer service when facing social identity threats (SITs) in marketplaces such as banks. The mechanism which makes them less price sensitive is related to the perception of how other people evaluate their social groups, and we argue that they pay more because they are seeking identity-safe commercial relationships. This work, besides extending the literature in SITs, presents a perspective for the exchange between economics and psychology on price sensitivity, showing that consumers living in slums are willing to pay more to avoid possibly social identity threating experiences.

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Increasing competition caused by globalization, high growth of some emerging markets and stagnation of developed economies motivate Consumer Packaged Goods (CPGs) manufacturers to drive their attention to emerging markets. These companies are expected to adapt their marketing activities to the particularities of these markets in order to succeed. In a country classified as emerging market, regions are not alike and some contrasts can be identified. In addition, divergences of marketing variables effect can also be observed in the different retail formats. The retail formats in emerging markets can be segregated in chain self-service and traditional full-service. Thus, understanding the effectiveness of marketing mix not only in country aggregated level data can be an important contribution. Inasmuch as companies aim to generate profits from emerging markets, price is an important marketing variable in the process of creating competitive advantage. Along with price, promotional variables such as in-store displays and price cut are often viewed as temporary incentives to increase short-term sales. Managers defend the usage of promotions as being the most reliable and fastest manner to increase sales and then short-term profits. However, some authors alert about sales promotions disadvantages; mainly in the long-term. This study investigates the effect of price and in-store promotions on sales volume in different regions within an emerging market. The database used is at SKU level for juice, being segregated in the Brazilian northeast and southeast regions and corresponding to the period from January 2011 to January 2013. The methodological approach is descriptive quantitative involving validation tests, application of multivariate and temporal series analysis method. The Vector-Autoregressive (VAR) model was used to perform the analysis. Results suggest similar price sensitivity in the northeast and southeast region and greater in-store promotion sensitivity in the northeast. Price reductions show negative results in the long-term (persistent sales in six months) and in-store promotion, positive results. In-store promotion shows no significant influence on sales in chain self-service stores while price demonstrates no relevant impact on sales in traditional full-service stores. Hence, this study contributes to the business environment for companies wishing to manage price and sales promotions for consumer brands in regions with different features within an emerging market. As a theoretical contribution, this study fills an academic gap providing a dedicated price and sales promotion study to contrast regions in an emerging market.