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Consciousness-Based Education - Maharishi University of ...

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consciousness-based education and GovernmentMaximum likelihood estimates for the model are shown in Table2. 14 Under the assumption <strong>of</strong> normally distributed disturbances, themaximum likelihood (ML) estimates <strong>of</strong> Box-Jenkins models and timeseries regressions are consistent and asymptotically normally distributed(Harvey, 1990; Brockwell and Davis, 1987). The same properties<strong>of</strong> the ML estimates have been shown to hold, under very mild conditions,in the case <strong>of</strong> non-normal residual errors (Harvey, 1990; Li andMcCleod, 1988; Brockwell and Davis, 1987). Since the sample size forthis study is n = 93, the p-values for all reported asymptotic t-statisticsare based on the standard normal approximation. 15For the estimated AR noise model, the roots <strong>of</strong> the AR polynomial layoutside the unit circle, consistent with invertibility <strong>of</strong> the noise model andmean stationarity for the dependent variable. 16 The quality <strong>of</strong> estimateswas high, with uniformly low correlation among estimated parameters. 17ParameterTable 2: Transfer Function Model Parameter EstimatesEstimation Model:USSR t= c + (ω 11B)US t+ (ω 20+ ω 22B 2 + ω 24B 4 )I t+ N tVariableN t= 1/(φ 1B + φ 5B 5 + φ 6B 6 + φ 11B 11 ) a tParameterTypeLagParameterEstimateStd.Errort Valuep Value*1 ω 11US Num. 1 0.214 0.071 3.02 0.00262 ω 20I Num. 0 27.830 10.251 2.71 0.00343 ω 22I Num. 2 23.770 10.620 2.24 0.01254 ω 24I Num. 4 39.794 10.087 3.94 0.00005 c USSR Const. 0 –19.129 10.501 –1.82 0.06886 φ 1USSR AR 1 0.558 0.089 6.29 0.00007 φ 5USSR AR 5 0.417 0.097 4.30 0.00008 φ 6USSR AR 6 –0.383 0.099 –3.86 0.00019 φ 11USSR AR 11 0.148 0.077 1.94 0.0524* In the case <strong>of</strong> all intervention parameters for the variable It, reported p-values are for aone-tailed test <strong>of</strong> the directional hypothesis <strong>of</strong> a positive impact on the dependent variableUSSR t. All other reported p-values are for a two-tailed test.Residual Variance Estimate 718.445 Effective Number <strong>of</strong> Observations 93Residual Standard Error 26.804 Ljung-Box Q for Lags 1-12 (8 d.f.) 4.7R-Square 0.547 AIC 629.669470

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