THE STATE
EDUCATION DEPARTMENT / THE UNIVERSITY
OF THE STATE OF |
TO: |
Subcommittee on State Aid |
FROM: |
Jean C. Stevens |
SUBJECT: |
Development of Regents 2007-08 Proposal on State Aid to
|
DATE: |
June 7, 2006 |
STRATEGIC
GOAL: |
Goals 2 and 5 |
AUTHORIZATION(S): |
|
Issue for Discussion
Is the funding mechanism for statewide pre-kindergarten adequate for statewide implementation and expansion? How does the relative purchasing power of school districts vary around the State? Has this changed since the Regents proposed a cost adjustment in school aid three years ago?
Review of policy.
Proposed Handling
These questions will come before the Subcommittee on State Aid at your June meeting.
Procedural History
The Regents proposal on State Aid to school districts has been under development since February 2006. In May, the Subcommittee on State Aid began an initial inquiry on the status of the new $50 million allocated to Universal Pre-kindergarten for the 2006-07 school year. This inquiry led to a desire for further and expanded information at the June 2006 meeting on pre-kindergarten education. In addition, staff will present an update of the regional cost index, one of four components of the Regents proposed foundation formula.
Background Information
The importance of pre-kindergarten as a cornerstone program to building strong statewide early childhood programs is a high priority for the Board of Regents and school districts. It is a highly researched and effective educational component for closing the achievement gap. To ensure that the program is available to all districts and four-year-olds, critical discussions regarding funding must be held. For pre-kindergarten to become an integral part of a pre-kindergarten-grade 12 public school system, discussion regarding the funding mechanism is as important as the level of funding. The program has been implemented via a grant process and, although this has been a successful way to phase in the program, it may not be the most effective way to sustain the program statewide. Attachment A provides information and analysis.
Adjusting State Aid for school operation and maintenance for cost differences around the State has been recommended by Blue Ribbon panels and legislative commissions over the years. The Regents have developed a professional wage-based model of assessing cost differences around the State. The result is that a dollar of State Aid should buy the same amount of goods and services regardless of the region of the State. Attachment B provides an update of the Regents regional cost index.
Recommendation
Staff recommend that a foundation aid approach be considered for funding universal pre-kindergarten education in the 2007-08 Regents State Aid proposal and that the Regents foundation aid proposal be updated using the regional cost index described in the attached report.
Timetable for
Implementation
In July, the Regents will review the draft conceptual proposal for the Board’s 2007-08 State Aid proposal and be asked to approve it in September. In October, the Regents will consider for approval the details on funding recommendations.
Attachment
Attachment A
Overview of Fiscal
Structure for
Statewide
Pre-kindergarten
·
Funding
History
Targeted Pre-kindergarten
Program
-
The
State has provide $50 million from 1992 to the present
-
96
districts are implementing targeted pre-kindergarten
programs
Universal Pre-kindergarten (UPK)
-
In
1997, legislative action set forth a five-year schedule for phasing in universal
pre-kindergarten education as follows:
s
$67
million for 1998-99
s
$100
million for 1999-2000
s
$225
million for 2000-01
s
$500
million for 2001-02 and continuing
-
Legislative action produced the following
results:
s
$67
million for 1998-99
s
$100
million for 1999-2000
s
$225
million for 2000-01
s
$205
million was allocated for 2001-02 through the present
-
School
Year 2005-06
s
197
districts implementing programs
s
977
community-based organizations are used as settings for universal
pre-kindergarten by school districts
s
Approximately 60 percent of the funding that
districts receive goes to contracts with community-based organizations for
pre-kindergarten program
s
Distribution of funds by Need-Resource
Category (see attached charts)
s
s
Each of
the Big 5 city school districts has had full day kindergarten for many
years
-
School
Year 2006-07
s
$205
million for districts who received grants in 2005-06
s
$50
million more for supplemental pre-kindergarten grants (for program
expansion)
s
$50
million for continuing targeted pre-kindergarten
·
Advantages of Current
Mechanism
-
The
purpose of a grant allocation is to target funding for a specific purpose – in
this regard the initial purpose has been successful. The grant allocation has been successful
in building a critical mass of universal pre-kindergarten programs across the
State.
·
Disadvantage of Current
Mechanism
-
A grant
allocation is a highly burdensome and restrictive way to move a focused program
to a statewide component of this public education system. Three grant programs with separate
funding systems complicate the State support for pre-kindergarten programs. The grant system is at the end of its
useful life as a funding mechanism for sustainability. The grant program has been expanded to
three different grant programs all with different mechanisms to achieve similar
purposes. The result is a very complex and restricting mechanism that may
prohibit expansion – the desired outcome.
Results include:
s
the
grant has been frozen;
s
formulas have been
suspended;
s
amounts
have been layered ;
s
the
grant allocation process has been revised and tweaked; and
s
a large
amount of work is required of SED with no administrative
funds.
Attachment B
The Regents proposed foundation formula provides State support for school operation and maintenance. It includes four working parts:
· A foundation amount which represents the cost of meeting the standards in successful school districts.
· A regional cost index which adjusts the foundation amount for regional variations in cost to provide the same purchasing power for each dollar of State Aid.
· A pupil need index which adjusts the foundation amount to provide more State Aid to school districts with concentrations of student poverty.
· An expected local share which recognizes a fair local share of the adjusted foundation amount for each district.
This paper explores one of these four elements, the regional cost index, and provides information on updating the index for the Regents proposal.
The
regional cost index was developed in recognition of the geographic cost
variations in different areas of
Professional
Cost Index for by
Labor Force Region (2006) | ||
Labor
Force Region |
Index
Value |
Purchasing
Power of $1,000 by Region |
Capital
Distict |
1.125 |
$889 |
Southern
Tier |
1.046 |
$956 |
|
1.091 |
$917 |
|
1.314 |
$761 |
Long
Island/NYC |
1.425 |
$702 |
|
1.142 |
$876 |
|
1.104 |
$906 |
|
1.000 |
$1,000 |
|
1.000 |
$1,000 |
In order to
adjust for geographic variations in the cost of educational resources, the
regional cost index (RCI) was generated following a methodology similar to one
developed by Rothstein and Smith[1]
for the state of
The previous
RCI was based on 63 of the 94 occupational titles used in the
The data on which the RCI is based was made available through the New York State Department of Labor. Since the original edition of the RCI, the structure of the occupational title system has been revised. This has resulted in the expansion of a number of titles. However, due to a lack of employment data, a fair amount of the titles were eliminated. In the end, 50 titles had both employment and wage data, 7 were plugged with wage data, and an additional 2 employment titles were plugged where data was available statewide and for 9 of the 10 labor force regions. In all, 59 occupational titles were used for this analysis.
The first step in generating a regional cost adjustment from the list of 59 titles was to establish a statewide median wage figure for which median wages in each labor force region could be compared for indexing purposes. The statewide median wage was calculated by taking the total number of employees in each of the 59 titles for the State as a whole (for example, the total number of people working in the title “pharmacist” across the State), and multiplying that amount by the median annual wage for that title (13,410 pharmacists * $86,841). This result was then summed for all titles, and then divided by the total number of employees in all 59 occupational titles (1,026,769). This produced a weighted annual median wage of $69,975 for the professional titles making up the index.
It was important to avoid the possibility that the index could be skewed due to compositional differences in the percentage distribution or mix of the individuals occupying the 59 selected titles. Therefore, if professional wages in the titles selected were found to be identical in two labor force regions, but 60 percent of the employees in region A occupied the 10 lowest salaries titles (vs. a 10 percent employee representation in these lower salary titles in region B), a simple summation of wages could lead to the erroneous conclusion that professional service costs were far higher in region A than in region B. In short, “apparent” cost differences would be due totally to differences in the title composition of the workforce, not to true wage differences in those titles.
This problem was avoided by weighting the wage for each title based on the relative importance of that title in the group of 59 titles statewide. Thus, in determining the regional differences in median wage, we assume that the “mix” of jobs in each region is the same as the “mix” in the State as a whole. These title weights were then applied to each region, therefore making the distribution or service “mix” of titles a constant across the State. For example, if sales managers made up 10% of the total number of employees statewide in the 59 titles, then a 0.10 compositional weighting was assigned to sales managers in every region. This title weighting procedure thus imputes to every labor force region precisely the same mix of employees across the 59 titles in every region.
Title weights were generated by dividing the statewide number of employees in a given title by the total number of employees in the 59 titles of the index. For example, the number of pharmacists statewide was 13,410, which was then divided by 1,026,769 (the total number of workers in the State in these 59 titles.) This yielded a title weight of 0.0130. (Since this was performed for all the titles in the list, the sum of all title weightings equals one.)
Once the title weights were
determined, they were incorporated into the data set for each of the ten labor
force regions. The median annual
wage for each title was multiplied by the title weight. This result was summed for all 59
titles, yielding a regional median wage.
This regional median was divided by the statewide weighted median
professional service wage to yield the final professional service wage index for
each region. These results were
then normed on the
When median wage data were missing for a title in a given region, the solution was based on the creation of a similar regional cost index, using a smaller set of occupational titles (those titles, in which data was not missing in any region of the State, n=50). The smaller index, in conjunction with the statewide median salary information for any occupational title that was lacking salary information in a specific region, was used to estimate the missing regional salary item.
While the list of professional
occupations used to create the RCI was based on the work of Rothstein and Smith
in
The data from the 2004
Occupational Employment Survey for
The Bureau of Labor Statistics develops its estimates through the use of an annual mail survey of about one-third of the establishments state- (and nation-) wide in occupational groups such as business and financial operations; transportation and material moving; personal care and service; architecture and engineering; office and administrative support; and management.[5] The survey is repeated in a three-year cycle, whereas the cycle continues, data from the third of establishments surveyed in current years builds on previous years’ data, in a process called wage updating. This results in detailed and precise estimates of wage levels even in small job categories or geographic regions. In the fourth year, the survey cycle starts over.
Since wage data is built-up over a three-year period, the approximations of wages become increasingly accurate and most precise in the third year. This year’s index calculations are based on the most accurate data-year in the cycle, and thus inspire confidence that the results are a good representation of the variation in professional service costs around the State. The triennial nature of the data suggests that the RCI need only be updated in those years for which the most accurate data in the cycle are available.
It should be noted that the index
results for
1. Chief Executives
2. General and Operations Managers
3. Advertising and Promotions Managers
4. Marketing Managers
5. Sales Managers
6. Public Relations Managers
7. Administrative Services Managers
8. Computer and Information Systems Managers
9. Financial Managers
10. Human Resources Managers
11. Industrial Production Managers
12. Purchasing Managers
13. Transportation, Storage, and Distribution Managers
14. Construction Managers
15. Engineering Managers
16. Medical and Health Services Managers
17. Property, Real Estate, and Community Association Managers
18. Social and Community Service Managers
19. Purchasing Agents, Except Wholesale, Retail, and Farm Products
20. Cost Estimators
21. Employment, Recruitment, and Placement Specialists
22. Training and Development Specialists
23. Management Analysts
24. Accountants and Auditors
25. Budget Analysts
26. Financial Analysts
27. Loan Officers
28. Computer Programmers
29. Computer Systems Analysts
30. Network and Computer Systems Administrators
31. Civil Engineers
32. Electrical Engineers
33. Industrial Engineers
34. Mechanical Engineers
35. Civil Engineering Technicians
36. Electrical and Electronic Engineering Technicians
37. Environmental Scientists and Specialists, Including Health
38. Market Research Analysts
39. Clinical, Counseling, and School Psychologists
40. Substance Abuse and Behavioral Disorder Counselors
41. Child, Family, and School Social Workers
42. Medical and Public Health Social Workers
43. Mental Health and Substance Abuse Social Workers
44. Librarians
45. Graphic Designers
46. Public Relations Specialists
47. Writers and Authors
48. Dietitians and Nutritionists
49. Pharmacists
50. Physician Assistants
51. Physical Therapists
52. Recreational Therapists
53. Speech-Language Pathologists
54. Medical and Clinical Laboratory Technologists
55. Medical and Clinical Laboratory Technicians
56. Police and Sheriff's Patrol Officers
57. Recreation Workers
58. Residential Advisors
59. Interviewers, Except Eligibility and Loan
[1]
This methodology is described in Rothstein, R., & Smith (1997). Adjusting
[2] See http://www.oms.nysed.gov/faru for a discussion of alternate methods.
[3] See U.S. Department of Labor, “Interarea Comparison of Compensation and Prices,” Report on the American Workforce, 1997, pp.69-97.
[4] United States Department of Labor’s Bureau of Labor Statistics Website. Technical Notes for 2001 OES Estimates. (http://www.stats.bls.gov/oes/2001/oes_tec.htm)
[5] Ibid