537 research outputs found
THE CANADIAN DAIRY SECTOR: STRUCTURE, PERFORMANCE AND POLICIES
Agricultural and Food Policy, Industrial Organization,
Inventario de políticas agroambientales en Uruguay: documento de trabajo
Este documento resume el Inventario de Políticas Agroambientales vigentes a diciembre del 2004, en Uruguay, en las principales instituciones vinculadas al tema. También se identifican los principales problemas y retos ambientales en el país, relacionados con la agricultura y la forestació
Sustainability of Nutraceuticals and Functional Foods
Sustainability challenges and issues in nutraceuticals and functional foods arena have influenced
both consumers and the industrial sector. Though the present day can be termed as an era of
nutraceuticals and functional foods, the knowledge on sustainability among the people involved is
limited in the pharma‐food industry. In this chapter, we provide a general overview of this subject,
followed by discussion on the four pillars of sustainability and how these relate to the agricultural
system, food safety and food security. Examples of nutraceuticals products, health benefits incurred,
consumer trends and food choices as well as market values are all examined
Can urban coffee consumption help predict US inflation?
Motivated by the importance of coffee to Americans and the significance of the coffee subsector to the US economy, we pursue three notable innovations. First, we augment the traditional Phillips curve model with the coffee price as a predictor, and show that the resulting model outperforms the traditional variant in both in-sample and out-of-sample predictability of US inflation. Second, we demonstrate the need to account for the inherent statistical features of predictors such as persistence, endogeneity, and conditional heteroskedasticity effects when dealing with US inflation. Consequently, we offer robust illustrations to show that the choice of estimator matters for improved US inflation forecasts. Third, the proposed augmented Phillips curve also outperforms time series models such as autoregressive integrated moving average and the fractionally integrated version for both in-sample and out-of-sample forecasts. Our results show that augmenting the traditional Phillips curve with the urban coffee price will produce better forecast results for US inflation only when the statistical effects are captured in the estimation process. Our results are robust to alternative measures of inflation, different data frequencies, higher order moments, multiple data samples and multiple forecast horizons
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