A stochastic programming approach is proposed in this paper for the development of offering strategies for a wind power producer. The optimization model is characterized by making the analysis of several scenarios and treating simultaneously two kinds of uncertainty: wind power and electricity market prices. The approach developed allows evaluating alternative production and offer strategies to...

The paper considers tacit collusion in markets which are not fully transparent on both sides. Consumers only detect prices with some probability before deciding which …rm to purchase from, and each …rm only detects the other …rm’s price with some probability. Increasing transparency on the producer side facilitates collusion, while it increasing transparency on the consumer side makes collusion...

We consider risk-aware forest owners and electricity producers evaluating the Reduced Emissions from Deforestation and Degradation (REDD)-based offsets with a benefitsharing mechanisms under uncertain CO2 prices. For a range of CO2 prices and respective risks perceived by the forest owner (seller) and electricity producer (buyer), we apply a model of fair (indifference) pricing. Parties’ risk p...

Rising Food Prices and Household Welfare: Evidence from Brazil in 2008 Food price inflation in Brazil in the twelve months to June 2008 was 18 percent, while overall inflation was 5.3 percent. This paper uses spatially disaggregated monthly data on consumer prices and two different household surveys to estimate the welfare consequences of these food price increases, and their distribution acros...

Atrazine, an herbicide used on most of the US corn (maize) crop, is the subject of ongoing controversy, with increasing documentation of its potentially harmful health and environmental impacts. Supporters of atrazine often claim that it is of great value to farmers; most recently, Syngenta, the producer of atrazine, sponsored an "Atrazine Benefits Team" (ABT) of researchers who released a set ...

This paper uses quantile regression to demonstrate how electricity price distributions are linked fundamental supply and demand variables. It investigates the California market (zone SP15) for selected trading hours using data from January 8, 2013 September 24, 2016. The approach quantifies a non-linear relationship between fundamentals prices, just as predicted by merit order curve. Natural ga...

We use micro data on product prices linked to information on the firms that set them to test for selection effects (state dependence) in micro-level producer pricing. In contrast to using synthetic data from a canonical menu-cost model, we find very weak, if any, micro-level selection effects when running price change probability regressions on actual data. Moreover, when fitting a model that n...

We study the origins of adult mental health using early life income fluctuations. Combining a time series of real producer prices of cocoa with a nationally representative household survey in Ghana, we show that a one standard deviation rise in the cocoa price in early life decreases the likelihood of severe mental distress in adulthood by 3 percentage points (or half the mean prevalence) for c...

Estimation of flexible functional forms for large consumer or producer demand systems is often precluded due to computational difficulties or due to a lack of degrees of freedom. We propose the concept of a semiflexible form, which is a special case of a flexible form but which requires fewer free parameters. Our proposed method of estimation allows the researcher to choose the degree of flexib...

â â â â â â â  this paper proposes a new forecasting model for investigating relationship between the price of crude oil, as an important energy source and gdp of the us, as the largest oil consumer, and the uk, as the oil producer. gmdh neural network and mlff neural network approaches, which are both non-linear models, are employed to forecast gdp responses to the oil price changes. the resul...