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A COMPARISON OF NOMINAL AND REAL HISTORICAL RISK MEASURES AgEcon
Ford, Beth Pride; Musser, Wesley N..
Previous studies of historical risk have used either nominal or real data to calculate risk measures for agricultural prices and income. However, the effects of using nominal and real data have not been evaluated. This study utilizes theoretical variance approximation relationships to examine variances from detrended real and nominal time series. The relationships between variances are derived for quarterly U.S. farm milk prices for 1960-72, 1973-80, and 1981-90. Contrary to common intuitive arguments, results indicate that variances of real time series can be larger than variances of nominal series. While definitive conclusions are not possible, several reasons for using nominal data in risk analysis are given.
Tipo: Journal Article Palavras-chave: Detrending; Indices; Nominal data; Risk measurement; Risk and Uncertainty.
Ano: 1995 URL: http://purl.umn.edu/15259
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Speaking Stata: Graphing categorical and compositional data AgEcon
Cox, Nicholas J..
A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more unusual displays. Both official Stata commands and user-written programs are available. After a stacking trick for binary responses is explained, bar charts and related displays for cross-tabulations are discussed in detail. Tips and tricks are introduced for plotting cumulative distributions of graded (ordinal) data. Triangular plots are explained for three-way compositions, such as three proportions or percentages.
Tipo: Journal Article Palavras-chave: Graphics; Categorical data; Binary data; Nominal data; Ordinal data; Grades; Compositional data; Cross-tabulations; Bar charts; Cumulative distributions; Logit scale; Catplot; Tabplot; Tableplot; Distplot; Mylabels; Triplot; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116238
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