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NJ SHARES Evaluation of 2013 Grants

NJ SHARES Evaluation of 2013 Grants. October 24, 2014. Evaluation Goals. Characterize 2013 NJ SHARES grant recipients Characterize 2013 NJ SHARES grants Examine good faith payments Analyze post-grant payment compliance. 2. Evaluation Components. Part 1 – NJ SHARES database analysis

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NJ SHARES Evaluation of 2013 Grants

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  1. NJ SHARES Evaluation of 2013 Grants October 24, 2014

  2. Evaluation Goals • Characterize 2013 NJ SHARES grant recipients • Characterize 2013 NJ SHARES grants • Examine good faith payments • Analyze post-grant payment compliance 2

  3. Evaluation Components • Part 1 – NJ SHARES database analysis • Characterizes grant recipients • Characterizes grants • Part 2 – Utility transaction data analysis • “Good Faith” Payment Analysis • Grant Coverage Analysis • Post-Grant Payment Compliance 3

  4. Evaluation Data • Data received from all utilities. • ACE • ETG • NJNG • PSE&G • RECO • SJG • JCP&L 4

  5. NJ SHARES Database AnalysisGrant Counts 5

  6. NJ SHARES Database AnalysisGrant Counts by Fuel Supplier 6

  7. NJ SHARES Database Analysis Grant Counts by Grant Type 7

  8. NJ SHARES Database Analysis Grant Counts by County 8

  9. NJ SHARES Database Analysis Grant Counts by Agency Type Note: NJ SHARES began working with legislative offices in 2008. 9

  10. NJ SHARES Database Analysis Number of Years of Grant Receipt Note: Fewer than one percent received grants in six or more years. 10

  11. NJ SHARES Database Analysis Household Income Sources 11

  12. NJ SHARES Database Analysis Annual Household Income 12

  13. NJ SHARES Database Analysis Household Poverty Level Note 1: As of January 23, 2009, income eligibility is capped at 400% of the Federal Poverty Level. Note 2: LIHEAP eligibility is for fiscal years. 13

  14. NJ SHARES Database Analysis Household Composition Note: A household can be included in more than one category. 14

  15. NJ SHARES Database Analysis Agencies Focused on Seniors 15

  16. NJ SHARES Database Analysis Household Composition Note: “Single Parent” and “Elderly Only” households were identified using the age grouping variables in the database, not the variable “Category”. 16

  17. NJ SHARES Database Analysis Main Heating Fuel 17

  18. NJ SHARES Database Analysis Recipient-Reported Bill Balance at Grant Application 18

  19. NJ SHARES Database Analysis Mean Reported Bill Balance at Grant Application 19

  20. NJ SHARES Database Analysis Collections Actions Pending at Application Note: Percentages may not sum to 100% because a household with grants for more than one utility may have two different collections actions. 20

  21. NJ SHARES Database Analysis Reason for Grant Application *High Energy Costs was a standard response option in previous years’ data, but was not included in the 2013 data. For 2013 grantees, this reason for application was identified using verbatim responses for the “Other” option. Note: Participants that chose the “Other” option may have indicated more than one reason in their response, which is why the percentages sum to more than 100%. 21

  22. NJ SHARES Database Analysis Detailed 2013 Recipients’ “Other” Reasons for Grant Application • Unspecified Bills/Costs • Reduced Income • Household Changes (spouse leaving or dying or a new baby) • Mortgage or Rent • Financial Hardship • Home Repairs • Tuition/ School Expenses • Car Repairs 22

  23. NJ SHARES Database Analysis Grant Guidelines - Maximum Grant Amounts 23

  24. NJ SHARES Database Analysis Grant Amounts 24

  25. NJ SHARES Database Analysis % Receiving Max Grant Allowed 25

  26. NJ SHARES Database Analysis Mean Grant Amount By Utility 26

  27. PART 2Utility Data Analysis Methodology • Focused on Q1 2013 grant recipients • Transaction data from utilities • Files contain payments, charges, account balances • Analyzed: • Existence of “Good Faith Payment” • Grant coverage of pre-grant balances • Ratio of payments made to charges incurred at key intervals • Used Q1 2012 and Q1 2014 recipients as comparison groups 27

  28. Utility Data Analysis Sample Group Definitions 2012 2014 2013 Q1 2013 ANALYSIS PERIOD GRANT DATE GRANT DATE + 1 DAY Q1 2012 ANALYSIS PERIOD GRANT DATE + 1 DAY GRANT DATE + 1 YEAR + 1 DAY GRANT DATE Q1 2014 ANALYSIS PERIOD GRANT DATE – 1 DAY GRANT DATE 1 YEAR 28

  29. “Good Faith” Payment Analysis “Good Faith” Period Definition • The “Good Faith” payment period is defined as 90 days prior to intake through the day before the grant is applied to the account. • Only payments made by the customer are counted. “GOOD FAITH” PERIOD GRANT DATE INTAKE DATE – 90 DAYS INTAKE DATE GRANT DATE – 1 DAY 29

  30. “Good Faith” Payment AnalysisAttrition Analysis * An account was eligible for analysis if the NJ SHARES grant could be located in the utility transactions data, the utility-reported account balances did not conflict with the utility transactions data, and there were at least three months of pre-grant utility data. 30

  31. “Good Faith” Payment AnalysisPercent Making “Good Faith” Payment 31

  32. “Good Faith” Payment AnalysisPercent Making “Good Faith” Payment By Utility Note: SJG had 4 of 5 customers make $100 or more in good faith payments.  The other customer paid $72 to SJG during the good faith period and had a municipal electric utility where additional payments may have been made. 32

  33. “Good Faith” Payment Analysis Amount of Good Faith Payments Made 33

  34. “Good Faith” Payment Analysis Amount of Good Faith Payments MadeBy Utility 34

  35. “Good Faith” Payment AnalysisAmount of Good Faith Payments Made By Poverty Level 35

  36. “Good Faith” Payment Analysis Number of Payments for Those Paying at Least $100 36

  37. Grant Coverage AnalysisAttrition Analysis * An account was eligible for analysis if the NJ SHARES grant could be located in the utility transactions data and the utility-reported account balances did not conflict with the utility transactions data. 37

  38. Grant Coverage AnalysisGrant Coverage 38

  39. Grant Coverage Analysis Grant Coverage By Utility 39

  40. Grant Coverage Analysis Grant Coverage By Grant Type 40

  41. Grant Coverage Analysis Grant Coverage By Main Heating Fuel 41

  42. Payment Compliance AnalysisAttrition Analysis * An account was eligible for analysis if the utility-reported account balances did not conflict with the utility transactions data. 42

  43. Payment Compliance Analysis Mean Percent of Bills Paid 43

  44. Payment Compliance Analysis Mean Percent of Bills Paid 44

  45. Payment Compliance Analysis Mean Percent of Bills Paid By Utility 45

  46. Payment Compliance Analysis Percent That Paid More Than 90 and 100 Percent of Billed Amount 46

  47. Payment Compliance Analysis Percent That Paid More Than 100 Percent of Billed Amount 47

  48. Payment Compliance Analysis Percent That Paid More Than 90 Percent of Billed Amount 48

  49. Payment Compliance Analysis By Utility 49

  50. Payment Compliance Analysis Mean Bill Balance By Utility Note: There was only one Q1 2013 RECO grant recipient. 50

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