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Titlebook: Divisia Monetary Aggregates; Theory and Practice Michael T. Belongia (Hearin-Hess Professor of Econ Book 2000 Palgrave Macmillan, a divisio

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31#
發(fā)表于 2025-3-26 23:09:40 | 只看該作者
Divisia Aggregates and the Demand for Money in Core EMUonetary and other shocks on the economy, and the effectiveness of monetary policy. This, together with the fact that the theory of the demand for money is fairly well developed and with the required data readily available, explains why the demand for money has been so well explored econometrically.
32#
發(fā)表于 2025-3-27 04:46:41 | 只看該作者
Broad and Narrow Divisia Monetary Aggregates for Japanonetary aggregates in the case of broadly-defined money (M2 + CDs, M3 + CDs), whereas for narrowly defined money (M1) it was found that the aggregation method made no significant difference in the chosen empirical applications.
33#
發(fā)表于 2025-3-27 08:57:13 | 只看該作者
34#
發(fā)表于 2025-3-27 10:58:07 | 只看該作者
35#
發(fā)表于 2025-3-27 15:39:31 | 只看該作者
36#
發(fā)表于 2025-3-27 20:09:15 | 只看該作者
The Canadian Experience with Weighted Monetary Aggregatestt (1980), which uses statistical index number theory. His approach makes use of aggregation theory to compute indices of financial assets that reflect the total utility, relative to some base period, attributable to the monetary services obtained from these assets.
37#
發(fā)表于 2025-3-28 00:41:51 | 只看該作者
Consequences of Money Stock Mismeasurement: Evidence from Three Countriesstrated conclusively that these data violate basic principles of economic and index number theory. As such, any in-sample results based on simple sum data must be spurious. Furthermore, the absence of any statistical properties in these data preclude their use in making out-of-sample forecasts.. Non
38#
發(fā)表于 2025-3-28 05:52:16 | 只看該作者
39#
發(fā)表于 2025-3-28 08:58:15 | 只看該作者
978-1-349-39614-6Palgrave Macmillan, a division of Macmillan Publishers Limited 2000
40#
發(fā)表于 2025-3-28 11:33:44 | 只看該作者
Report of the Executive Committee 1973–1975n explosion in history, the government is pumping out a stream of statistics that are nothing but myths and misinformation. (Michael J. Mandel, ‘The Real Truth about the Economy: Are Government Statistics So Much Pulp Fiction? Take a Look’, ., cover story, 7 November 1994, pp. 110–18.)
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