Finite Sample Properties of Some Alternative Gmm Estimators
Finite Sample Properties of Some Alternative Gmm Estimators
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01 4. 18 -0. 01 1. 29, 0. 38 ■ 0. 01 -0. 23 13. 46 0. 19 C. TNS2-M2. True 6 = -1/3 6. 03 -0. 42 5. 82 -0. 42 1. 24 -0. 35 0. 00 -0. 98 17. 95 0. 09 D. TNS1-M3. True 9 = 1/3 153. 96 0. 66 11. 09 0. 66 1. 45 0. 37 0. 48 0. 16 410. 29 1. 16 E. TS1-M3. True 9 = :0 62. 51 -0. 14 17. 89 -0. 14 1. 40 0. 04 0. 03 -0. 66 142. 79 0. 26 F. TNS2-M3. True 9 = -1/3 12. 98 -0. 40 12. 78 -0. 40 0. 35 -0. 58 0. 01 -0. 91 40. 99 0. 17 ■^Estimates with absolute values greater than 100 were excluded from the compu...tation of the truncated means.
43 Figure 5. 1 Criterion Functions Monthly Log-Normal Model, No Time Averaging .... Iterative, Two-Step, Continuous-Updating 0. 5 0. 4 0. 3 0. 2 0. 1 Minimized 0. 5 0. 4 / ■ y* 1
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To quickly assess the difficulty of the text, read a short excerpt:
01 4. 18 -0. 01 1. 29, 0. 38 ■ 0. 01 -0. 23 13. 46 0. 19 C. TNS2-M2. True 6 = -1/3 6. 03 -0. 42 5. 82 -0. 42 1. 24 -0. 35 0. 00 -0. 98 17. 95 0. 09 D. TNS1-M3. True 9 = 1/3 153. 96 0. 66 11. 09 0. 66 1. 45 0. 37 0. 48 0. 16 410. 29 1. 16 E. TS1-M3. True 9 = :0 62. 51 -0. 14 17. 89 -0. 14 1. 40 0. 04 0. 03 -0. 66 142. 79 0. 26 F. TNS2-M3. True 9 = -1/3 12. 98 -0. 40 12. 78 -0. 40 0. 35 -0. 58 0. 01 -0. 91 40. 99 0. 17 ■^Estimates with absolute values greater than 100 were excluded from the compu...tation of the truncated means.
43 Figure 5. 1 Criterion Functions Monthly Log-Normal Model, No Time Averaging .... Iterative, Two-Step, Continuous-Updating 0. 5 0. 4 0. 3 0. 2 0. 1 Minimized 0. 5 0. 4 / ■ y* 1
What to read after Finite Sample Properties of Some Alternative Gmm Estimators?
You can find similar books in the "Read Also" column, or choose other free books by Lars Peter Hansen to read onlineMoreLess
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