dependent var | -0.000177 | Adjusted R-squared | 0.463237 | S.D. dependent var | 7.631188 | S.E. of regression | 5.590923 | Akaike info criterion | 6.282127 | Sum squared resid | 31789.82 | Schwarz criterion | 6.291796 | Log likelihood | -3198.744 | Hannan-Quinn criter. | 6.285798 | F-statistic | 879.5531 | Durbin-Watson stat | 1.996574 | Prob(F-statistic) | 0.000000 | | | | | | | | | | | | | | Null Hypothesis: MANUF is stationary | | Exogenous:
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T.‚ and Winters‚ L. A. (1987). ‘The Beveridge-Nelson decomposition of economic time-series DeJong‚ D. N.‚ and Whiteman‚ C. H. (1991). ‘Reconsidering Trends and random walks in macroeconomic time-series’ Dickey‚ D. A.‚ and Fuller‚ W. A. (1981). ‘Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root’ Doornik‚ J.‚ and Hendry‚ D. F. (1994). PcFiml 8.0. Interactive Econometric Modelling of Dynamic Systems Enders‚ W. (1995). Applied Econometric Time Series. New York: Wiley Series
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The Form of Structural Equation Models Structural equation modeling incorporates several different approaches or frameworks to representing these models. In one well-known framework (popularized by Karl Jöreskog‚ University of Uppsala)‚ the general structural equation model can be represented by three matrix equations: However‚ in applied work‚ structural equation models are most often represented graphically. Here is a graphical example of a structural equation model: For more information
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Data Envelopment Analysis and related literature As already stated‚ a rich history of literature and research which is demonstrating the importance of processes in analyzing the performance of an organization exists (Chase‚ 1981; Chase et al.‚ 1983; Levitt‚ 1972; Roth et al.‚ 1995). Especially‚ Roth et al. (1995; here and in the following) showed that the key drivers are process capability and execution in an empirical way. It was described in their study that an inappropriate design of certain
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Running head: EFFECT OF AUTHORITY Effect of Authority on the Likelihood to Conform Abstract To explore the relationship between increased power or social status and a person’s likelihood to conform‚ forty high school students (5 boys and 5 girls from each grade level: freshmen‚ sophomores‚ juniors and seniors) will be taken one at a time into a room with five confederates (classmates who are considered by their peers to be in the “popular crowd”). The participants will be shown a variety
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R-squared 0.925955 Mean dependent var 1.724663 Adjusted R-squared 0.923840 S.D. dependent var 1.421723 S.E. of regression 0.392356 Akaike info criterion 1.000578 Sum squared resid 21.55201 Schwarz criterion 1.103224 Log likelihood -67.54189 Hannan-Quinn criter. 1.042286 F-statistic 437.6863 Durbin-Watson stat 1.013062 Prob(F-statistic) 0.000000 Solution 1: The estimated coefficients show the proportional change in total
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Milly Cleal Marketing w/ Advertising Management Student Number: Q09752498 “From an economic perspective‚ explain the likelihood of success for the UK’s marketing of the 2012 Olympics.” The British Government has repeatedly stressed the importance of the Olympic Games for the British economy that is currently experiencing its worst downturn in over 50 years. Although they have stated that London and the surrounding areas are predicted to pick up the most wealth during and following the 3 weeks
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Abstract For auditors‚ failing to detect fraud at their clients is usually accompanied by substantial monetary penalties and/or negative publicity. Thus‚ the profession has re-evaluated its fraud assessment processes and has attempted to find new ways in which material misstatements due to fraud can be identified. The purpose of this study is to determine whether auditors can effectively use nonfinancial measures (NFMs) in their analyses of fraud. Given that auditors can identify NFMs (e.g.‚ facilities
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m Problem1: The demand for roses was estimated using quarterly figures for the period 1971 (3rd quarter) to 1975 (2nd quarter). Two models were estimated and the following results were obtained: Y = Quantity of roses sold (dozens) X2 = Average wholesale price of roses ($ per dozen) X3 = Average wholesale price of carnations ($ per dozen) X4 = Average weekly family disposable income ($ per week) X5 = Time (1971.3 = 1 and 1975.2 = 16) ln = natural logarithm The standard errors
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How does the number of friends one has affect the likelihood of depression? Depression is a common but serious medical condition that not only negatively impacts the individual‚ but the people around them as well. It is brought about by factors including genetics‚ substance abuse‚ and other psychological facets. However‚ the most common factor in regards to depression is social isolation in which the individual is starved for companionship and emotional support. Even though the family may be
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