1,721,183 research outputs found
Evaluating the Information Content and Money Making Ability of Forecasts from Exchange Rate Equations
Full text linkThis paper evaluates a particular set of equations for the dollar/yen and dollar/mark exchange rates. The forecasts from the equations dominate both forecasts from the random walk model and forecasts using the forward rate. The results also suggest that money may be able to be made in the forward markets using the equations.
Estimated Effects of the October 1979 Change in Monetary Policy on the 1980 Economy
Full text linkOn October 6. 1979, the Federal Reserve announced what most people interpreted as a change in monetary policy. The purpose of this paper is to estimate the effects of this change on the 1980-81 economy. The effects of the change are estimated from simulations with my model of the U.S. economy (1976, 1980b).
Estimated Inflation Costs Had European Unemployment Been Reduced in the 1980s by Macro Prices
Full text linkThis paper uses a multicountry econometric model to estimate what the inflation costs would have been if macropolicies had reduced European unemployment in the 1982:1-1990:4 period. A "non-NAIRU" framework is proposed for thinking about these costs.
Actual Federal Reserve policy behavior and interest rate rules
Full text linkA popular way to approximate Federal Reserve policy is through the use of estimated interest rate equations, or policy "rules." In these rules, the dependent variable is the interest rate that the Federal Reserve is assumed to control and the explanatory variables are those factors assumed to affect Federal Reserve behavior. This article presents estimates of such a rule, using data from 1954:1-1999:3 but omitting the 1979:4-1982:3 period, when monetary targets were emphasized. Although the estimated coefficient on inflation is found to be larger in the post-1982 period, the difference is not statistically significant, and statistical tests fail to reject the hypothesis that the interest rate rule is stable across these two periods.Monetary policy - United States ; Interest rates
Effects of the Changing U.S. Age Distribution on Macroeconomic Equations
Full text linkThe effects of the changing U.S. age distribution on various macroeconomic equations are examined in this paper. The equations include consumption, money demand, housing investment, and labor force participation equations. Seven age groups are analyzed: 16-19, 20-24, 25-29, 30-39, 40- 54, 55-64, and 65+. There seems to be enough variance in the age distribution data to allow reasonably precise estimates of the effects of a number of age categories on the macro variables. The results show that, other things being equal, age groups 30-39 and 40-54 consume less than average, invest less in housing than average, and demand more money than average. Age group 55-64 consumes more and demands more money. If these estimates are right, they imply, other things being equal, that consumption and housing investment will be negatively affected in the future as more and more baby boomers enter the 30-54 age group. The demand for money will be positively affected. If, as Easterlin argues, the average wage that an age group faces is negatively affected by the percent of the population in that group, then the labor force participation rate of a group should depend on the relative size of the group. If the substitution effect dominates, people in a large group should work less than average, and if the income effect dominates, they should work more than average. The results indicate that the substitution effect dominates for women 25-54 and that the income effect dominates for men 25-54.
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
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