000 -LEADER |
fixed length control field |
02216naa a2200181uu 4500 |
001 - CONTROL NUMBER |
control field |
11749 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20190211155629.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
030312s2006 xx ||||gr |0|| 0 eng d |
999 ## - SYSTEM CONTROL NUMBERS (KOHA) |
Koha Dewey Subclass [OBSOLETE] |
PHL2MARC21 1.1 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
AARON, Henry J |
9 (RLIN) |
8 |
245 10 - TITLE STATEMENT |
Title |
Presidential address - seeing through the fog : |
Remainder of title |
|
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Date of publication, distribution, etc. |
2000 |
520 3# - SUMMARY, ETC. |
Summary, etc. |
All public policies have two things in common. they deal with te future and, as a result, they are based on forecasts or projections. The forecasts or projectios may be implicit or based on native extrapolation or ad hoc assumptions. They may be explicit and based on elaborate extrapolations or on behavioral models. In either case, unfortunately, they are notoriously unreliable. In fact, they almos always are wrong - sometimes just a bit wrong, but often massively wrong. Nonetheless, forecastas are what distinguishes reasoned planning from blind action. Without forecasts, we would be totally at sea. That we have to use forecasts of projections, that we know they will be wrong, and that they usually are wrong raise some difficult questions for policy analysis and policymarking. Regrettably, in may view they receive too little attention. My purpose todayis to urge that they receive more. My comments are intended to make four points. First, it is important for policymakers to appreciate how erro-prone forecast and projections actually are. Second, it is important not to permit the availability of projections or forecasts to obscure fundamental policy questions that are important in any plausible scenario. Third, uncertainty means that, where possible, it is prudent to design policies with built-in flexibility that respond automatically to diverse possible outcomes. Fourth, where built-in flexibility is impossible, complete analysis should take into account the consequences if forecasts prove wrong, and weigh those consequences against the results of postponing action until information improves or against other policies under the plausible range of possible outcomes |
773 08 - HOST ITEM ENTRY |
Title |
Journal of Policy Analysis and Management |
Related parts |
19, 2, p. 193-206 |
Place, publisher, and date of publication |
, 2000 |
Record control number |
|
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Periódico |
998 ## - LOCAL CONTROL INFORMATION (RLIN) |
-- |
20030312 |
Operator's initials, OID (RLIN) |
Cassio |
Cataloger's initials, CIN (RLIN) |
Cassio |
998 ## - LOCAL CONTROL INFORMATION (RLIN) |
-- |
20060331 |
Operator's initials, OID (RLIN) |
1659^b |
Cataloger's initials, CIN (RLIN) |
Quiteria |