1,928 research outputs found

    A Time Series Model with Qualitative Variables

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    This paper considers a distributed lag model in which the dependent variable is observed qualitatively. The relation of our "lagged index" model to other models that have appeared in the literature is discussed and a computationally tractable method of obtaining consistent estimates is presented. The model is applied to data on party identification in the United States. The results obtained indicate that party identification is responsive to changes in individual opinions, especially regarding the performance of an incumbent president

    On the Asymptotic Properties of Certain Two-Step Procedures Commonly Used in the Estimation of Distributed Lag Models

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    A Time Series Model with Qualitative Variables

    Get PDF
    This paper considers a distributed lag model in which the dependent variable is observed qualitatively. The relation of our "lagged index" model to other models that have appeared in the literature is discussed and a computationally tractable method of obtaining consistent estimates is presented. The model is applied to data on party identification in the United States. The results obtained indicate that party identification is responsive to changes in individual opinions, especially regarding the performance of an incumbent president

    Modelling the evolution of distributions : an application to major league baseball

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    We develop Bayesian techniques for modelling the evolution of entire distributions over time and apply them to the distribution of team performance in Major League baseball for the period 1901-2000. Such models offer insight into many key issues (e.g. competitive balance) in a way that regression-based models cannot. The models involve discretizing the distribution and then modelling the evolution of the bins over time through transition probability matrices. We allow for these matrices to vary over time and across teams. We find that, with one exception, the transition probability matrices (and, hence, competitive balance) have been remarkably constant across time and over teams. The one exception is the Yankees, who have outperformed all other teams

    Drop Traffic in Microfluidic Ladder Networks with Fore-Aft Structural Asymmetry

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    We investigate the dynamics of pairs of drops in microfluidic ladder networks with slanted bypasses, which break the fore-aft structural symmetry. Our analytical results indicate that unlike symmetric ladder networks, structural asymmetry introduced by a single slanted bypass can be used to modulate the relative drop spacing, enabling them to contract, synchronize, expand, or even flip at the ladder exit. Our experiments confirm all these behaviors predicted by theory. Numerical analysis further shows that while ladder networks containing several identical bypasses are limited to nearly linear transformation of input delay between drops, mixed combination of bypasses can cause significant non-linear transformation enabling coding and decoding of input delays.Comment: 4 pages, 5 figure

    Media control: a case for privatization in transitional economies

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    The television market can be one of the most dynamic industries if country-specific regulations allow for private competitors to enter the market. The entry of competition changes the market from monopolistic to oligopolistic, which has positive performance implications for the industry. Our research analyzes the development of the Croatian TV market from the monopolistic stage to the current oligopolistic stage. Econometric models in this article aim to estimate the current trend of market concentration and its future potential. The authors’ research focusing on the industry from a market concentration perspective provides guidance for the practitioner in regard to profitable investment opportunities. They also illustrate for other transitional economies that to move toward a “free” society, media must be free from government control which will evolve rapidly once privatized. © 2016 Taylor & Francis

    Smallholder farmers' adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia

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    Background: The agricultural sector remains the main source of livelihoods for rural communities in Ethiopia, but faces the challenge of changing climate. This study investigated how smallholder farmers perceive climate change, what adaptation strategies they practice, and factors that influence their adaptation decisions. Both primary and secondary data were used for the study, and a multinomial logit model was employed to identify the factors that shape smallholder farmers’ adaptation strategies. Results: The results show that 90% of farmers have already perceived climate variability, and 85% made attempts to adapt using practices like crop diversification, planting date adjustment, soil and water conservation and management, increasing the intensity of input use, integrating crop with livestock, and tree planting. The econometric model indicated that education, family size, gender, age, livestock ownership, farming experience, frequency of contact with extension agents, farm size, access to market, access to climate information and income were the key factors determining farmers’ choice of adaptation practice. Conclusion: In the Central Rift Valley of Ethiopia, climate change is a pressing problem, which is beyond the capacity of smallholders to respond to autonomously. Farmers’ capacity to choose effective adaptation options is influenced by household demography, as well as positively by farm size, income, access to markets, access to climate information and extension, and livestock production. This implies the need to support the indigenous adaptation strategies of the smallholder farmers with a wide range of institutional, policy, and technology support; some of it targeted on smaller, poorer or female-headed households. Moreover, creating opportunities for non-farm income sources is important as this helps farmers to engage in those activities that are less sensitive to climate change. Furthermore, providing climate change information, extension services, and creating access to markets are crucial
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