94,134 research outputs found
Letter from J. Phillips to Hagan
No full textHolograph letter from [J. Phillips], also signed [P. Lornie], 6 Herbert Avenue, Merrion, Dublin, to Hagan, in gratitude for hospitality during their stay in Rome, with New Year's wishes
Phillips River, Northern Territory [picture] /
No full textCondition: Good.; Part of the collection: Souvenir of the visit of the Federal Parliamentary Party to the Northern Territory, April - May, 1912.; Caption: "Phillips River"--Handwritten in ink to left of image.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-an24284594
The early history of the Phillips curve
No full textThe Phillips Curve depicts a relationship between inflation and unemployment in graphical or equation form. In a previous article (see the March /April issue of this Review), Thomas Humphrey catalogued the various formulations of the relationship that have appeared since the publication in 1958 of A. W. Phillips’ famous article on the subject. In the present article, Humphrey turns to the history of monetary doctrines seeking precursors of the modern formulations in the writings of Phillips’ forerunners. Humphrey finds an early representation of a Phillips Curve relationship in the writings of David Hume. Other pioneers in the curve’s pre-history include Irving Fisher, who first attempted to verify the relationship statistically, Jan Tinbergen, who estimated the first econometric Phillips Curve equation, and Paul Sultan, who first represented the relationship as a graph. Also considered are the contributions of Henry Thornton, John Stuart Mill, Lawrence Klein, A. J. Brown and others. Despite the work of these men, the Phillips Curve did not gain wide acceptance until the 1960s. Humphrey suggests several reasons for its belated popularity.Phillips curve
Evaluating the German (New Keynesian) Phillips Curve
No full textThis paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity where firms never re-optimize prices. This analysis also offers some explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out the need for identification robust methods to get reliable estimates for the NKPC.inflation dynamics, phillips curve, weak instruments, optimal instruments
Inside and Outside Bounds: Threshold Estimates of the Phillips Curve
No full textThere have been several instances over the past 40 years when large movements in the unemployment rate have elicited little response in the inflation rate. Such instances, while casting doubt on the tradeoff implied by the linear Phillips curve, are also associated with large inflation forecasting errors. In principle, these movements are consistent with a Phillips curve relationship; they just require the curve to shift in the same direction as the unemployment rate. Econometric representations of the Phillips relationship usually incorporate factors that can cause the Phillips curve to shift over time. However, the literature has not yet provided a test of whether such factors are sufficient to explain the episodes of horizontal movement. In this paper, the authors test the explanatory power of a double threshold specification of the Phillips relationship against a simple linear specification, and compare dynamic and static out of sample forecasts of inflation across linear and double threshold specifications of the Phillips curve. The authors find that traditional shifters in the relationships are insufficient for characterizing the periods of horizontal movement, and that a double threshold specification makes significant improvements in the static and dynamic out of sample inflation forecasting performance of the Phillips curvPhillips Curve; Threshold Models; Inflation Forecasting
The South African Phillips Curve: How Applicable is the Gordon Model?
No full textIs there a Phillips curve relationship present in South Africa and if so, what form does it take? Traditionally the way to estimate the Phillips curve is merely to regress the change in the price level on a measure of the output gap (or the deviation of actual unemployment from the NAIRU). However, Gordon (1990:481-5) has argued that estimating the Phillips curve in this manner biases the estimated results. Instead, Gordon (1997; 1989) puts forward his so-called triangular model that controls for inertia effects, output level effects and rates-of-change (in output) effects. He applies the model to several European countries, the US and Japan and finds meaningful results. The question this paper poses is whether or not the triangular model also applies to South Africa. In estimating the Phillips curve for South Africa the paper also experiments with four versions of the output gap, based on four different methods to estimate long run output, including the standard Hodrick-Prescott (HP) filter and the production function approach. There are several variants of the Phillips curve. The first, as estimated by Phillips (1958) himself, measures the relationship between wage inflation and unemployment. However, other versions consider the relationship between price inflation and unemployment or price inflation and output. This paper focuses on the latter, given the absence of quarterly unemployment data in South Africa, as well as the lack of a reliable and sufficiently long unemployment time series. The paper first presents an overview of literature on the Phillips curve and its estimation for South Africa and other countries. This is followed by the second section that considers the model to be estimated, the data as well as the discussion of the alternative measures of the output gap. The third section presents the estimated results followed by section four that contains the conclusion and a discussion of the policy implications.
The Phillips Curve in Australia
No full textIn this paper we discuss the development of Phillips curves in Australia over the forty years since Phillips first estimated one using Australian data. We examine the central issues faced by researchers estimating Australian Phillips curves. These include the distinction between the short and long-run trade-offs between inflation and unemployment, and the changing level of the non-accelerating inflation rate of unemployment (NAIRU), particularly in the 1970s. We estimate Phillips curves for prices and unit labour costs in Australia over the past three decades. These Phillips curves allow the NAIRU to change through time, and include a role for import prices and ‘speed-limit’ effects. The paper concludes by presenting an extended discussion of the changing role of the Phillips curve in the intellectual framework used to analyse inflation within the Reserve Bank of Australia over the past three decades.Phillips curve; inflation; unemployment; monetary policy
Is the Phillips Curve of Germany Spurious?
No full textA simple plot of seasonal adjusted quarterly data between the change of nominal wage rates and the unemployment rate for the German economy shows a picture similar to that by which Phillips was inspired to his famous discovery, that there is a long-term tendency of a negative, non-linear relationship coupled with minor deviations from this tendency, which form so-called loops. At first sight, the Phillips Curve of Germany comprises clusters of data points and movements between these clusters. In spite of the striking differences of these phenomena, a model with one regression equation is sufficient to explain the loops, the movements between the loops and the long-term tendency of the German Phillips Curve. It might well be that the German Phillips Curve and the corresponding regressions are spurious, but an allegedly missing co-integration of wage rate changes and unemployment rate is not the argument that could be drawn on to sustain this scepticism. On the contrary, both variables are co-integrated. To get a more detailed insight into the relationship, the two variables are split into a trend and a cyclical component by the help of the HP-filter. The results of regression analyses applied to the separated components support Phillips’ hypothesis of a negative relationship between wage rate changes and the unemployment rate.Wages, Unemployment, Phillips Curve
Phillips, Edward-Residence P.1
No full textEdward Phillips residence. 358 W. Center, Kaysville, Utah. Gift of Carol Collette.Details on Edward Phillips at: http://www.boap.org/LDS/Early-Saints/EPhillips.htm
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