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  • Search: subject:"weighted standard deviation"
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Year of publication
Subject
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Inter-Industry Wage Differentials 3 USA 3 West Germany 3 dummy variables 3 restricted least squares 3 weighted standard deviation 3 Deutschland 2 Mikroökonometrie 2 Schätzung 2 Sektorale Lohnstruktur 2 Vergleich 2 1984-1996 1 Autocorrelated Data 1 Comparison 1 Control Chart 1 Dummy Variables 1 Estimation 1 Germany 1 Inter- Industry Wage Differences 1 Interindustry wage structure 1 Median Absolute Deviation 1 Microeconometrics 1 Regional Wage Differences 1 Restricted Least Squares 1 Skew Normal 1 United States 1 Weighted Standard Deviation 1 Weighted Standard Deviation Method 1 Weighted Variance Method 1
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Online availability
All
Free 2 Undetermined 1
Type of publication
All
Book / Working Paper 4 Article 1
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 research-article 1
Language
All
English 3 Undetermined 2
Author
All
Haisken-DeNew, John P. 4 Schmidt, Christoph M. 4 Gildeh, Bahram Sadeghpour 1 Gorgin, Vahideh 1
Institution
All
Center for Human Resources, SELAPO, Volkswirtschaftliche Fakultät 1 Institute for the Study of Labor (IZA) 1
Published in...
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IZA Discussion Papers 2 Discussion paper series / IZA 1 Stochastics and Quality Control 1 Working Papers / Center for Human Resources, SELAPO, Volkswirtschaftliche Fakultät 1
Source
All
RePEc 2 ECONIS (ZBW) 1 EconStor 1 Other ZBW resources 1
Showing 1 - 5 of 5
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MAD Control Chart for Autoregressive Models with Skew-Normal Distribution
Gorgin, Vahideh; Gildeh, Bahram Sadeghpour - In: Stochastics and Quality Control 35 (2020) 1, pp. 17-23
Abstract The major problem in analyzing control charts is to work with autocorrelated data. This problem can be solved by fitting a suitable model to the data and using the control chart for the residuals. The problem becomes very important, when the distribution of observation is nonnormal, in...
Persistent link: https://www.econbiz.de/10014591039
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Industry Wage Differentials Revisited: A Longitudinal Comparison of Germany and USA (1984-1996)
Haisken-DeNew, John P.; Schmidt, Christoph M. - 1999
In this paper, the inter-industry wage structure in West Germany and USA is compared using the German Socio-Economic Panel (GSOEP), the German Mikrozensus (MZ), the American Panel Study of Income Dynamics (PSID) and the American Current Population Survey (CPS) from 1984 to 1996. Using a sample...
Persistent link: https://www.econbiz.de/10010262319
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Cover Image
Industry wage differentials revisited : a longitudinal comparison of Germany and USA (1984-1996)
Haisken-DeNew, John P.; Schmidt, Christoph M. - 1999
In this paper, the inter-industry wage structure in West Germany and USA is compared using the German Socio-Economic Panel (GSOEP), the German Mikrozensus (MZ), the American Panel Study of Income Dynamics (PSID) and the American Current Population Survey (CPS) from 1984 to 1996. Using a sample...
Persistent link: https://www.econbiz.de/10011318606
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Cover Image
Industry Wage Differentials Revisited: A Longitudinal Comparison of Germany and USA (1984-1996)
Haisken-DeNew, John P.; Schmidt, Christoph M. - Institute for the Study of Labor (IZA) - 1999
In this paper, the inter-industry wage structure in West Germany and USA is compared using the German Socio-Economic Panel (GSOEP), the German Mikrozensus (MZ), the American Panel Study of Income Dynamics (PSID) and the American Current Population Survey (CPS) from 1984 to 1996. Using a sample...
Persistent link: https://www.econbiz.de/10005703674
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Cover Image
Inter-Industry and Inter-Region Differentials: Mechanics and Interpretation
Haisken-DeNew, John P.; Schmidt, Christoph M. - Center for Human Resources, SELAPO, …
In their seminal study on inter-industry wage differentials, Krueger and Summers (1988) expressed estimated industry differences as deviations from a hypothetical employment-share weighted mean. Virtually the whole labor literature has followed their approach, yet most studies avoid calculating...
Persistent link: https://www.econbiz.de/10005623959
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