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The University of Pennsylvania Models for High-Frequency Macroeconomic Modeling Lawrence R. Klein Suleyman Ozmucur.

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Presentation on theme: "The University of Pennsylvania Models for High-Frequency Macroeconomic Modeling Lawrence R. Klein Suleyman Ozmucur."— Presentation transcript:

1 The University of Pennsylvania Models for High-Frequency Macroeconomic Modeling Lawrence R. Klein Suleyman Ozmucur

2 Table 1. Absolute values of forecasts of alternative models Absolute Errors (1997:1 - 2003:4) EXPEND._1INCOME_1PRINCOM_1AVERAGE_1NAIVE_1 Mean1.361.591.301.011.88 Median1.341.490.930.771.37 Maximum3.945.693.823.075.62 Minimum0.000.160.070.010.06 Std. Dev.1.191.281.110.921.44 Skewness0.821.510.951.091.05 Kurtosis2.775.762.793.073.40

3 EXPEND._2INCOME_2PRINCOM_2AVERAGE_2NAIVE_2 Mean1.711.581.541.392.13 Median1.491.431.321.011.87 Maximum4.527.294.853.926.19 Minimum0.000.020.03 0.31 Std. Dev.1.441.471.211.021.57 Skewness0.632.271.210.800.88 Kurtosis2.189.424.082.703.17

4 EXPEND._3INCOME_3PRINCOM_3AVERAGE_3NAIVE_3 Mean1.861.971.801.672.15 Median1.561.781.631.331.74 Maximum4.786.365.294.396.40 Minimum0.190.140.030.200.07 Std. Dev.1.331.671.431.251.55 Skewness0.671.120.650.631.08 Kurtosis2.303.952.582.363.60

5 Table 2. Correlation Coefficients Between real GDP growth rates and Model Estimates (numbers following the model name refer to number of months before the advanced estimate) Correlation Coefficients ADVANCEPRELIMINARY FINAL EXPENDITURE_10.670.620.63 INCOME_10.540.480.47 PRINCOM_10.58 0.57 AVERAGE_10.760.710.70 EXPENDITURE_20.480.450.47 INCOME_20.440.380.37 PRINCOM_20.430.40 AVERAGE_20.650.590.60 EXPENDITURE_30.400.300.29 INCOME_30.270.210.19 PRINCOM_30.260.180.15 AVERAGE_30.410.310.28

6 Sample: 1997:1 2003:4 IF ADVANCE { "@context": "http://schema.org", "@type": "ImageObject", "contentUrl": "http://images.slideplayer.com/14/4352195/slides/slide_6.jpg", "name": "Sample: 1997:1 2003:4 IF ADVANCE

7 Sample: 1997:1 2003:4 IF ADVANCE>ADVANCE(-1) EXPEND._1INCOME_1PRINCOM_1AVERAGE_1 Mean 1.456 1.780 1.655 1.234 Median 1.520 1.360 1.150 0.915 Maximum 3.940 5.690 3.820 3.070 Minimum 0.050 0.190 0.410 0.010 Std. Dev. 1.293 1.666 1.228 1.072 Skewness 0.803 1.218 0.702 0.638 Kurtosis 2.623 3.520 2.058 1.973 Observations 14

8 actualsurvey cornerCQMNaive 2003.01143-6-101 2003.02-3084143 2003.03-108-41-4-308 2003.04-48-83-72-108 2003.05-17-94-86-48 2003.06-30-510-17 2003.07-44-22-4-30 2003.08-93-8-19-44 2003.0957-2-24-93 2003.1126-252057 2003.115720113126 2003.12112011257 2004.01112151651 2004.022114479112 2004.033081877221 2004.04201167308 MAE748092

9 actualsurvey cornerCQMNaive 2003.010.73-0.01 2003.020.090.2 2003.03-0.54-0.370.150.09 2003.04-0.45-0.67-0.06-0.54 2003.050.180.09-0.14-0.45 2003.060.090.18-0.020.18 2003.070.460.160.040.09 2003.080.09 0.160.46 2003.090.360.090.160.09 2003.10.270.450.210.36 2003.110.890.450.210.27 2003.120.080.440.410.89 2004.010.790.440.280.08 2004.020.730.440.360.79 2004.030.440.56 2004.040.430.53 MAE0.230.350.4

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