Score: +4 (5/2/1)
Santa Clara County Grand Jury • 2010-2011 • Agency Response
Response to: Town of Los Gatos

Civic Center Office of the Town Manager*

Published: September 15, 2011 2 pages
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Note: Missing finding numbers detected: F2

Findings and Recommendations 2 findings

F1 Page 2
In spite of public opinion, there are situations that warrant rehiring pensioners and often it makes good business sense to do so. <b>Town of Los Gatos Response</b> Agree
Related Recommendations (1)
R1
Page 2
If the Town desires to end the practice of rehiring of pensioners, they should make that official by means of a policy decision. <b>Town of Los Gatos Response</b> The recommendation has been implemented. The Town does not desire to end the practice of rehiring pensioners, and should it desire to do so, it will make it official by means of a policy decision.
F3 Page 2
The fifteen towns and cities—Campbell, Cupertino, Gilroy, Los Altos, Los Altos Hills, Los Gatos, Monte Sereno, Morgan Hill, Milpitas, Mountain View, Palo Alto, San Jose, Santa Clara, Saratoga, Sunnyvale—and the County may be inadvertently creating a demand to rehire pensioners because the public sector retirement age is relatively young at 50 (police and fire) or 55 (administrative positions). Town of Los Gatos response Agree
Related Recommendations (1)
R3
Page 2
The Town should pursue a higher retirement age with its public sector unions and associations. <b>Town of Los Gatos Response</b> The recommendation has not yet been implemented but will be implemented in the future. The Town Council has authorized the adoption of a two-tier pension system for all newly hired employees pending completion of any meet and confer obligations. Decisions have been reached for three of the Town's employee groups and the Town is continuing to pursue this objective with the two remaining employee groups.

Agency Responses 3

Government agencies' official responses to this report's findings and recommendations. Click on a response to see the structured breakdown.

* This report's PDF did not contain easily extractable text and required Optical Character Recognition (OCR) for analysis. There may be minor errors in the extracted findings and recommendations due to OCR limitations with scanned documents.