UNEMPLOYMENT TRADE BALANCES Directory UMM :Journals:Journal Of Policy Modeling:Vol22.Issue1.2000:

72 M. E. Kreinin Table 9: OED Projections of GAP Deflator Naive Model 95 t 2 1 t Conf. Country Coef. Stat. R 2 interv. N United States Coef. 0.8 5.8 0.6 0.5–1.0 27 Constant 1.2 1.5 2 0.4–2.8 Japan Coef. 0.7 4.2 0.4 0.3–1.0 27 Constant 1.3 1.4 2 0.6–3.2 Germany Coef. 0.6 4.2 0.4 0.3–0.9 27 Constant 1.6 2.4 0.2–3.0 France Coef. 0.9 9.5 0.8 0.7–1.1 27 Constant 0.6 0.8 2 0.9–2.1 United Kingdom Coef. 0.7 4.7 0.5 0.4–1.0 27 Constant 2.6 1.8 2 0.4–5.7 Canada Coef. 0.8 6.6 0.6 0.6–1.1 27 Constant 0.9 1.1 2 0.8–2.6 Italy Coef. 0.9 10.3 0.8 0.7–1.1 27 Constant 1.1 1.1 2 1.0–3.2 Australia Coef. 0.9 7.5 0.7 0.7–1.2 22 Constant 0.4 0.3 2 1.9–2.7 in 9 out of 10 years; and the Naive forecasts gives equally unbiased results Table 11.

4. UNEMPLOYMENT

Table 12 shows the OECD unemployment projections, where the U.S. results are the “best” of the eight countries, but the dual criterion is met in six of them. 2 The midyear forecast shows a clear improvement over the year-earlier one. However, only in half of the smaller OECD countries was the dual criterion met. In the cross-sectional analysis, the dual criterion was met in 25 out of 27 years. But the Naive model shows equally good if not better results for the eight countries as well as for the small OECD countries Table 13. Similar observations can be made about the IMF projections not shown; but available from the author upon request.

5. TRADE BALANCES

Only the OECD and not the IMF provide projections of trade balances. Table 14 shows the combined cross-section and time 2 The time series and cross-section combined are available from the author upon request. ACCURACY OF OECD AND IMF P ROJECTION 73 Table 10: IMF Projections of the GAP Deflator–Time Series 95 95 t 2 1 t Conf. t 2 12 t Conf. Country Coef. Stat. R 2 Interv. N Coef. Stat. R 2 interv. N United States Coef. 1.2 4.6 0.7 0.6–1.8 10 1.0 21.4 0.97 0.9–1.1 14 Constant 2 1.1 2 1.2 2 3.4–1.1 0.1 0.4 2 0.4–0.6 Japan Coef. 0.2 0.3 2 0.1 2 1.1–1.5 10 0.3 2.7 0.3 0.1–0.6 14 Constant 1.0 1.0 2 1.1–3.0 0.9 2.7 0.2–1.6 Germany Coef. 1.1 3.2 0.5 0.3–2.0 10 0.9 6.0 0.7 0.6–1.3 14 Constant 2 0.1 2 0.1 2 2.5–2.3 2 0.0 2 0.0 2 1.3–1.3 France Coef. 1.1 7.1 0.8 0.8–1.5 10 0.9 18.0 0.96 0.8–1.1 14 Constant 2 0.5 2 0.9 2 1.7–0.7 0.3 0.8 2 0.5–1.1 United Kingdom Coef. 1.5 3.1 0.5 0.4–2.6 10 1.0 14.6 0.94 0.8–1.1 14 Constant 2 1.9 2 0.9 2 7.0–3.2 0.1 0.2 2 1.0–1.2 Canada Coef. 0.7 1.6 0.2 2 0.3–1.6 10 0.8 6.0 0.7 0.5–1.1 14 Constant 0.5 0.3 2 2.9–3.9 0.0 0.0 2 1.6–1.7 Itlay Coef. 0.6 2.8 0.4 0.1–1.1 10 1.0 16.3 0.95 0.9–1.1 14 Constant 2.7 2.0 2 0.4–5.8 0.2 0.3 2 1.3–1.7 Other OECD Coef. 0.1 0.2 2 0.1 2 1.0–1.1 10 0.7 4.9 0.6 0.4–1.1 14 Constant 4.8 2.5 0.4–9.3 2.2 2.4 0.2–4.2 74 M. E. Kreinin Table 11: IMF Data on Real GDP Growth Rate–Time Series Naive Model 95 t 2 1 t Conf. Country Coef. Stat. R 2 interv. N United States Coef. 0.7 5.5 0.7 0.4–1.0 14 Constant 0.8 1.1 2 0.7–2.2 Japan Coef. 0.5 2.0 0.2 2 0.4–1.1 14 Constant 0.6 1.3 2 0.1–1.7 Germany Coef. 0.6 2.5 0.3 0.1–1.1 14 Constant 1.2 1.5 2 0.5–3.0 France Coef. 0.9 12.3 0.9 0.7–1.1 14 Constant 2 0.2 2 0.4 2 1.3–0.9 United Kingdom Coef. 0.5 5.6 0.7 0.3–0.7 14 Constant 2.4 3.5 0.9–3.8 Canada Coef. 0.7 5.9 0.7 0.4–0.9 14 Constant 0.7 1.3 2 0.5–1.9 Italy Coef. 0.8 8.5 0.8 0.6–1.0 14 Constant 0.7 0.6 2 1.7–3.1 Other Coef. 0.9 6.4 0.8 0.6–1.3 14 Europe Constant 2 0.0 2 0.0 2 2.2–2.2 series regressions. The trade balances forecast is shown to be unbiased, with robust statistical properties, and superior to that of the Naive model. The midyear projection is even better. As shown in Tables 15 and 16, the unbiasness exists in the G-5 coun- tries in the time series analysis, and for 11 of the small OECD countries. In the cross-sectional analysis the dual criterion was met in 21 out of 27 years 1967–94. In the Naive model, the dual criterion is met in the G-7 countries and in all the small countries except Turkey. On the other hand, in the cross-sectional analysis the dual criterion was met in only 10 years.

6. CONCLUSION

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