1,720,959 research outputs found

    A Dynamic IS-LM Model with Adaptive Expectations

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    We analyze the stability of a discrete-time dynamic model with an IS-LM structure. We assume that the Aggregate Supply function is of Lucas type, and the monetary policy rule is of Friedman type. The mechanism of expectations formation is assumed to be of adaptive type (Friedman-Cagan). In its final form, the model contains two state variables, namely money supply and expected inflation. From the mathematical point of view, it is an affine discrete-time system, whose stability properties are analyzed in the paper. We deduce sufficient conditions concerning the "learning coefficient" involved in the Friedman-Cagan type of forecast equation, so that the model is stable.steady state, Lucas type AS function, Friedman type monetary policy rule, stability conditions

    The Influence of Fiscal Policy on Economic Growth

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    In this paper we analyze the influence of several types of fiscal policies on the process of economic growth, namely on the rate of growth of consumption. We formulate and analyze two types of economic growth models. The first refers to the way in which a consumer-producer agent takes decisions when the elements concerning fiscal policy are exogenous. The second model is a global model including the economic agent, as well as the government. Both models are dynamic models with discrete variables on infinite horizon. The technique used is provided by the Maximum Principle. We perform a comparative analysis of the results obtained on the basis of the two models. What is surprising is the conclusion that the growth rate of consumption is larger for the second model. At the same time, we prove that if the ratio between private and public consumption is equal to the ratio between the elasticity coefficients of the utility function, then the rate of economic growth does not depend on the value of the tax rate.Fiscal Policy, Economic Growth, Social Capital, Maximum Principle

    Fiscal Policy, Public Capital and Economic Growth

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    The effect of public investment on economic growth is a crucial public policy issue. Empirical research into this question was stimulated by Aschauer (1989), who suggested that public capital has a powerful impact on the productivity of private capital. Aschauer's results were controversial and have generated substantial empirical research directed at determining the robustness of his position. The present paper analyses the way in which public investment and fiscal policy influences the performances of economic growth. We analyze the impact of public investment on the dynamics of private capital formation in an intertemporal optimizing framework. Following W.H. Fischer and S.J.Turnovsky (1998), the public good is treated as a durable capital good, subject to congestion. The analysis is made on the basis of a dynamic model with discrete variables. The optimality conditions for the representative agent's problem are deduced on the basis of the Maximum Principle for discrete dynamic systems (Altar, 1976). The production function considered within the model is a function of three variables: labour, stock of private capital and services obtained from the stock of public capital. A critical feature of the model concerns the specification of the productive services derived by the representative agent from public capital. Several variants for this function are analysed in the paper. We also analyse several alternative modes of government financing. A qualitative analysis of the optimal trajectories is performed, on the basis of the information provided by the Maximum Principle, concerning the dynamics of the dual variable and the properties of the Lagrange multipliers. Finally, we analyse the influence of several fiscal and investment decisions on the optimal trajectories and on the performance-function of the model.Economic Growth, Fiscal Policy, Public investment, Congestion

    Fiscal Policy, Public Capital and Economic Growth

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    The Influence of Monetary and Fiscal Policies on Social Welfare

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    The paper analyses the way in which monetary and fiscal policy influences the performances of economic growth and social welfare. The analysis is made on the basis of a dynamic model with discrete variables. The model is with a representative private agent and a government sector consisting of a consolidated fiscal authority and central bank. Households, in each period, decide about consumption, investment in physical capital, and financial investment in government bonds. The model is built in such a way that satisfaction of the budget constraint of the representative household implies satisfaction of the budget constraint of the government. The model has two state variables: the first is private wealth (consisting of money, bonds and physical capital), and the second is physical capital. The decision variables are: private nominal consumption, social nominal consumption and the amount of bonds bought by the private agent. The optimality conditions are obtained by using the Maximum Principle for discrete dynamic systems. A qualitative analysis of the optimal trajectories is performed, on the basis of the information provided by the Maximum Principle, concerning the dynamics of the dual variables. Finally, we analyze the influence of several monetary and fiscal decisions on the optimal trajectories of the model.Economic Growth, Monetary Policy, Fiscal Policy, Fiscal Solvency, Maximum Principle

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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