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Review of Bobbio, Iommi, & 
Tartaglia-Polcini 
“New Evidence on Service Lives...” 
Barbara M. Fraumeni 
China Center for Human Capital and Labor Market Research 
Central University of Finance and Economics, Beijing, China 
National Bureau of Economic Research, Cambridge, MA USA
Are Italian OM&E Service Lives Accurate? 
Does It Make a Difference? 
(Considering Changes in Related Assumptions as well.) 
Survey of service lives (SL) for Other 
Machinery & Equipment (OM&E) 
Current and expected (future) SL 
Impact of alternative assumptions on 
underlying series stock series 
Impact on aggregates 
Capital service flow (SF) 
TFP 
2
When Were Istat OM&E SL Values Set? 
1990: SL for Furniture & Further OM&E 
2000: Hardware & Communication 
3
Survey & Sample 
Convenience sample 
359 user firms 
78 Producers 
SL – time until not used because of 
Obsolescence 
Sold abroad 
4
Impact on Underlying Series 
Alternative retirement patterns 
Normal 
Lognormal 
Weibull 
Istat truncated normal distribution shape 
Conclusion 
Lognormal shape does best 
Normal fit could not be rejected 
Test of Istat truncation pattern rejects it 
5
Istat SL vs. Survey SL for Existing Assets 
Survey service lives are almost 4 years shorter than 
the 1990/2000 adopted Istat lives (15-20%) for total 
OM&E 
Two variations of computations 
Standard asset aggregations 
Hardware, communications, furniture & further OM&E 
By user sector 
Industry excl. construction, manu., services, & further OM&E 
Istat and survey SL are quite close for 
communications 
Biggest differences are for services & construction 
Discussant comment now: 
Suggests composition effect 
Yet, all Istat SL by user sector are 16.5 
6
Total OM&E, Survey Age at Discard 
7
Survey Forecast of Future SL 
Numerical and qualitative results indicate a 
forecasted declining trend over time 
Manufacturing and industry excl. construction 
user sector firms expected SL declines in 1 year 
range, but services SL expected to increase by 1.6 
Construction user sector firms expected a .6 SL 
decline 
By standard asset aggregations, users forecast 
very small changes, except for hardware (.6 
decrease in SL) 
For total OM&E actually a .1 increase in SL 
expected by users 
8
Impact of Revising SL 
Net (wealth) capital stock (NCS) 
Downward revision for all asset classes 
& sectors, except communication 
In 2011 services & construction net 
stock decreases by over 35% 
Services net stock sector share drops 
from 35% to 28% 
Small impact on capital service flows (SF) 
TFP impact is negligible 
9
Declining SL Exercises – 10 year asset 
1) Disc Purc 
Before 1997, constant 
Then decreased linearly to be equal for 
new assets to expected future survey 
value in 2007 
For new assets, constant after 2007 
2) Istat Disc Purc 
Istat value up until year when Istat SL set 
Then did the decreased linear exercise 
until, and after 2007 
10
Declining SL Exercise Conclusions 
Noticeable effect on cum. growth rates 
OM&E NCS & SF 1990-2011 
Both a decrease from about Istat 57% 
Of about 15 ppts for exercise 1 
Of about 20 ppts for exercise 2 
Aggregate SF less, not surprising, both 
a decrease from about 65% 
Of 8 ppts for exercise 1 
Of 21ppts for exercise 2 
11
Declining SL Exercise Conclusions 
Noticeable change in OM&E SF & 
aggregate TFP growth rates for 2007- 
11 exercise 1 
OM&E SF growth rate changes from a 
positive 1.0% to a negative .9% 
TFP increases by .3 percentage points 
12
Negligible Impact on Series 
Alternative age/efficiency patterns 
Istat hyperbolic with b =.5 for furniture, b 
= .75 hardware & communication 
equipment 
Other hyperbolic alternatives 
Linear 
Constant (one-hoss-shay) 
Geometric 
Rate of return set exogenously = 4% 
13
Additional Paper Concluding Remarks 
Results suggest that the high K/L ratio may be 
due to a positive bias in the estimation of the 
capital stock 
Switching from Istat SL to survey estimates of 
2011 SL: 
Although the cumulative growth rates do not seem to 
be affected, the OM&E capital stock exhibits stronger 
pro-cyclicality 
Paper shows the importance of regularly 
updating service lives 
14
Discussant Comments 
Including age of exported OM&E assets in the 
total SL 
Winfrey skewed retirement distributions 
Cohort approach with use of hyperbolic with 
different SL or a profile imitating the same 
Cliff discussion vs. assets being intrinsically 
different from the beginning (cliff vs. cohort 
approach) 
15
Cohort or Cliff Approach 
16 
5 10 15 
Service Life 
5 10 15 
Service Life
Discussant Comments 
Convenience sample….not a random sample? 
of a bit more than a tenth of Invid sampled 
firms 
Emphasis on NCS(wealth) stock when PCS 
enters SF and TFP 
Nominal value of included OM&E capital and 
SF in Italian total capital and total inputs 
17
Discussant Comments 
Most countries rarely update their SL 
A big problem 
18

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Session 7 b bobbio et al service lives paper 7 b iariw discussion

  • 1. Review of Bobbio, Iommi, & Tartaglia-Polcini “New Evidence on Service Lives...” Barbara M. Fraumeni China Center for Human Capital and Labor Market Research Central University of Finance and Economics, Beijing, China National Bureau of Economic Research, Cambridge, MA USA
  • 2. Are Italian OM&E Service Lives Accurate? Does It Make a Difference? (Considering Changes in Related Assumptions as well.) Survey of service lives (SL) for Other Machinery & Equipment (OM&E) Current and expected (future) SL Impact of alternative assumptions on underlying series stock series Impact on aggregates Capital service flow (SF) TFP 2
  • 3. When Were Istat OM&E SL Values Set? 1990: SL for Furniture & Further OM&E 2000: Hardware & Communication 3
  • 4. Survey & Sample Convenience sample 359 user firms 78 Producers SL – time until not used because of Obsolescence Sold abroad 4
  • 5. Impact on Underlying Series Alternative retirement patterns Normal Lognormal Weibull Istat truncated normal distribution shape Conclusion Lognormal shape does best Normal fit could not be rejected Test of Istat truncation pattern rejects it 5
  • 6. Istat SL vs. Survey SL for Existing Assets Survey service lives are almost 4 years shorter than the 1990/2000 adopted Istat lives (15-20%) for total OM&E Two variations of computations Standard asset aggregations Hardware, communications, furniture & further OM&E By user sector Industry excl. construction, manu., services, & further OM&E Istat and survey SL are quite close for communications Biggest differences are for services & construction Discussant comment now: Suggests composition effect Yet, all Istat SL by user sector are 16.5 6
  • 7. Total OM&E, Survey Age at Discard 7
  • 8. Survey Forecast of Future SL Numerical and qualitative results indicate a forecasted declining trend over time Manufacturing and industry excl. construction user sector firms expected SL declines in 1 year range, but services SL expected to increase by 1.6 Construction user sector firms expected a .6 SL decline By standard asset aggregations, users forecast very small changes, except for hardware (.6 decrease in SL) For total OM&E actually a .1 increase in SL expected by users 8
  • 9. Impact of Revising SL Net (wealth) capital stock (NCS) Downward revision for all asset classes & sectors, except communication In 2011 services & construction net stock decreases by over 35% Services net stock sector share drops from 35% to 28% Small impact on capital service flows (SF) TFP impact is negligible 9
  • 10. Declining SL Exercises – 10 year asset 1) Disc Purc Before 1997, constant Then decreased linearly to be equal for new assets to expected future survey value in 2007 For new assets, constant after 2007 2) Istat Disc Purc Istat value up until year when Istat SL set Then did the decreased linear exercise until, and after 2007 10
  • 11. Declining SL Exercise Conclusions Noticeable effect on cum. growth rates OM&E NCS & SF 1990-2011 Both a decrease from about Istat 57% Of about 15 ppts for exercise 1 Of about 20 ppts for exercise 2 Aggregate SF less, not surprising, both a decrease from about 65% Of 8 ppts for exercise 1 Of 21ppts for exercise 2 11
  • 12. Declining SL Exercise Conclusions Noticeable change in OM&E SF & aggregate TFP growth rates for 2007- 11 exercise 1 OM&E SF growth rate changes from a positive 1.0% to a negative .9% TFP increases by .3 percentage points 12
  • 13. Negligible Impact on Series Alternative age/efficiency patterns Istat hyperbolic with b =.5 for furniture, b = .75 hardware & communication equipment Other hyperbolic alternatives Linear Constant (one-hoss-shay) Geometric Rate of return set exogenously = 4% 13
  • 14. Additional Paper Concluding Remarks Results suggest that the high K/L ratio may be due to a positive bias in the estimation of the capital stock Switching from Istat SL to survey estimates of 2011 SL: Although the cumulative growth rates do not seem to be affected, the OM&E capital stock exhibits stronger pro-cyclicality Paper shows the importance of regularly updating service lives 14
  • 15. Discussant Comments Including age of exported OM&E assets in the total SL Winfrey skewed retirement distributions Cohort approach with use of hyperbolic with different SL or a profile imitating the same Cliff discussion vs. assets being intrinsically different from the beginning (cliff vs. cohort approach) 15
  • 16. Cohort or Cliff Approach 16 5 10 15 Service Life 5 10 15 Service Life
  • 17. Discussant Comments Convenience sample….not a random sample? of a bit more than a tenth of Invid sampled firms Emphasis on NCS(wealth) stock when PCS enters SF and TFP Nominal value of included OM&E capital and SF in Italian total capital and total inputs 17
  • 18. Discussant Comments Most countries rarely update their SL A big problem 18