614 research outputs found

    Off-farm Income and Risky Investments: What Happens to Farm and Nonfarm Assets?

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    Off-farm work improves and reduces the riskiness of household income. Theoretical analyses reveal that the level and riskiness of off-farm income affect demand for farm/nonfarm investments. A two-limit Tobit model is estimated using ARMS data for 1996-2003. The impact on investment behaviour is evaluated.Farm Management,

    Quadrilateral meshes with provable angle bounds

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    In this paper, we present an algorithm that utilizes a quadtree data structure to construct a quadrilateral mesh for a simple polygonal region in which no newly created angle is smaller than 18.43∘(=arctan(13)) or greater than 171.86∘(=135∘+2arctan(13)). This is the first known result, to the best of our knowledge, on a direct quadrilateral mesh generation algorithm with a provable guarantee on the angles

    Off-farm income and risk reduction in agriculture: when does it matter?

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    Investment behavior is analyzed using a dynamic portfolio model including off-farm income. The correlation structure of off-farm income and asset returns and the ratio of off-farm income to wealth is shown to affect portfolio choice. Empirical analysis indicates that off-farm income tends to increase farm assets.Agriculture ; Farm income ; Wages

    A Model to Evaluate Buying and Selling Policies for Growing Lambs on Pasture

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    In pastoral sheep finishing systems, farmers aim to maximize profitability by deciding on when and how many animals to buy and/or sell, while taking into account feed availability and current prices. This paper describes a stochastic lamb growth simulation model with a set of heuristic rules, which has been developed to financially evaluate different management strategies for growing lambs on pasture

    Sensitivity Analysis of a Growth Simulation for Finishing Lambs

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    A stochastic lamb growth simulation model with a set of heuristic rules has been developed to evaluate management strategies for a solely pastoral grazing system in New Zealand (Morel et al., 2005). In the present paper the results of a sensitivity analysis for this model are presented

    An intertemporal model of consumption and portfolio allocation

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    We develop an infinite time horizon, continuous time model of portfolio choice and consumption allocation for an investor seeking to maximize the expected utility of his life-time consumption. In this model, the investor is endowed with capital that can be invested in long-lived capital assets and has, in addition, a stochastic stream of cash flows that could be interpreted as either a wage income stream or a stochastic endowment flow. We obtain a complete and original solution to the consumption-portfolio choice problem for the negative exponential and quadratic utility functions and special case solutions for the general power and log utility functions. The results obtained in this paper have significant implications for the theory of asset prices, the theory of mutual funds, optimal portfolio strategies of investors, and so forth. The results of the model can also be easily extended to one with a finite time horizon.Consumption (Economics)

    A charitable access program for patients with lysosomal storage disorders in underserved communities worldwide

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    Background: Lysosomal storage disorders (LSDs) are rare genetic disorders, with heterogeneous clinical manifesta‑ tions and severity. Treatment options, such as enzyme replacement therapy (ERT), substrate replacement therapy, and pharmacological chaperone therapy, are available for several LSDs, including Gaucher disease (GD), Fabry disease (FD), and Hunter syndrome (mucopolysaccharidosis type II [MPS II]). However, patients in some countries face challenges accessing treatments owing to limited availability of locally licensed, approved drugs. Methods: The Takeda LSD Charitable access program aims to meet the needs of individuals with GD, FD or MPS II with the greatest overall likelihood of beneft, in selected countries, through donation of ERT to nonproft organiza‑ tions, and support for medical capacity-building as well as family support via independent grants. Long-term aims of the program are to establish sustainable healthcare services delivered by local healthcare providers for patients with rare metabolic diseases. Patients receiving treatment through the program are monitored regularly, and their clinical data and progress are reviewed annually by an independent medical expert committee (MEC). The MEC also selects patients for enrollment completely independent from the sponsoring company. Results: As of 31 August, 2019, 199 patients from 13 countries were enrolled in the program; 142 with GD, 41 with MPS II, and 16 with FD. Physicians reported improvements in clinical condition for 147 (95%) of 155 patients with follow-up data at 1 year. Conclusions: The response rate for follow-up data at 1 year was high, with data collected for>90% of patients who received ERT through the program showing clinical improvements in the majority of patients. These fndings suggest that the program can beneft selected patients previously unable to access disease-specifc treatments. Further inno‑ vative solutions and eforts are needed to address the challenges and unmet needs of patients with LSDs and other rare diseases around the world
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