# Cost Effect

**Manufacturing Sector (NAICS 3361)**

Domestic content 

### 0.780571476

Maximum Original Dollars 2005 2011 Original Dollars

Dataset 

### 2012 BLS ERM **2011 ASM** Dataset

Sectors Motor vehicle

parts
manufacturing Motor vehicle

parts
manufacturing Sectors



### Fleet Cost ($Million/year 12$) Max? 2018 115.743311 

### 140.7883 105.9452ERM 

### 2019 113.3583125 

### 131.4969 98.9533ERM 

### 2020 112.1920291 

### 124.1125 93.3964ERM 

### 2021 2173.493962 

### 2,292.9954 1,725.5122ERM 

### 2022 2160.864069 

### 2,174.0200 1,635.9814ERM 

### 2023 2223.619805 

### 2,133.4770 1,605.4722ERM 

### 2024 3455.171817 

### 3,161.4652 2,379.0483ERM 

### 2025 3647.177174 

### 3,182.4894 2,394.8692ERM 

### 2026 3735.856668 

### 3,108.7919 2,339.4108ERM 

### 2027 5309.157095 

### 4,213.2609 3,170.5397ERM

# Parts Sector (NAICS 3363)

Minimum 2005 2011


### 2012 BLS ERM **2011 ASM,**

**NAICS 3361**

Motor vehicle body and trailer
manufacturing Light truck and

utility vehicle
manufacturing 2020-21; Motor vehicle body

& trailer
manufacturing 2022-27



### Min? **Minimum Maximum**  34.8621 27.9849336112 

### 27.985 140.788 27.2785 26.0450336112 

### 26.045 131.497 21.5694 24.4950ERM 

### 21.569 124.112 333.8438 450.9403ERM 

### 333.844 2,292.995 265.1681 399.3282ERM 

### 265.168 2,174.020 218.0034 328.3008ERM 

### 218.003 2,133.477 270.6334 407.5586ERM 

### 270.633 3,161.465 228.2325 343.7053ERM 

### 228.233 3,182.489 186.7754 281.2733ERM 

### 186.775 3,108.792 212.0626 319.3543ERM 

### 212.063 4,213.261

### Rounded Costs (Millions)**Minimum Maximum**  2018 

### 116 $ 0 100 2019 

### 113 $ 0 100 2020 

### 112 $ 0 100 2021 

### 2,173 $ 300 2,300 2022 

### 2,161 $ 300 2,200 2023 

### 2,224 $ 200 2,100 2024 

### 3,455 $ 300 3,200 2025 

### 3,647 $ 200 3,200 2026 

### 3,736 $ 200 3,100 2027 

### 5,309 $ 200 4,200

## U.S. Vehicle Sales: From UsaSa01.xls **U.S. Vehicle Production by Manufacturer: From UsaPr05.xlsx**  **NOTE: Truck appears to be total trucks not just LD. For the follow ing, I'm going to use total trucks for sales, for comparability** 

**.**

**Light Trucks MD/HD Trucks**  **Total Trucks** Truck **Year Total**  **Total Total**  **Total Year**  Total Truck 2013 7,946,365 351,737 8,298,102 6,697,5972013 0.807124 2012 7,198,160 345,876 7,544,036 6,226,7522012 0.825387 2011 6,645,021 306,189 6,951,210 5,684,5442011 0.817778 2010 5,919,085 217,702 6,136,787 5,011,9882010 0.816712 2009 5,000,792 199,686 5,200,478 3,513,8432009 0.675677 2008 6,425,634 298,424 6,724,058 4,940,9002008 0.734809 2007 8,526,888 371,093 8,897,981 6,885,0422007 0.773776 2006 8,742,808 544,581 9,287,389 6,948,5812006 0.748174 2005 9,287,771 496,575 9,784,346 7,680,7812005 0.785007 2004 9,384,365 431,653 9,816,018 7,794,4292004 0.794052

U.S. Vehicle Sales, 1931-2010. UsaSa01.xls, accessed August 19, 2014, at http://subscribers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibited. U.S. Vehicle Production by Manufacturer. UsaPr05.xls, accessed August 10, 2014, at http://subscribers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibited.

## US Production/US Sales **NOTE: Truck appears to be total trucks not just LD. For the follow ing, I'm going to use total trucks for sales, for comparability** 

**.**

Truck Average (20XX-2013)

Proportion of LT among all trucks 0.80712397 0.957612355 0.81582101 0.954152393 0.81641771 0.955951698 0.81648015 0.964525085 0.79502598 0.961602376 0.78511522 0.955618467 0.78308722 0.958294696 0.77759511 0.941363391 0.77864882 0.949248013 0.78057148 0.956025651

U.S. Vehicle Sales, 1931-2010. UsaSa01.xls, accessed August 19, 2014, at http://subscribers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibited. U.S. Vehicle Production by Manufacturer. UsaPr05.xls, accessed August 10, 2014, at http://subscribers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibited.

### NOTE: Truck appears to be total trucks not just LD. For the follow**ing, I'm going to use total trucks for sales, for comparability**

**.**

U.S. Vehicle Sales, 1931-2010. UsaSa01.xls, accessed August 19, 2014, at http://subscribers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibited. U.S. Vehicle Production by Manufacturer. UsaPr05.xls, accessed August 10, 2014, at http://subscribers.wardsauto.com/refcenter/ , ©Copyright 2014, Ward's Automotive Group, a division of Penton Media Inc. Redistribution prohibited.

### Raw Data: BLS ERM realdomreq (real domestic employment requirements table for 1993-2012), http://www.bls.gov/emp/ep_data_emp_requirements.htm

**Accessed 20140804** Year Sector 81 Sector 82 Sector 83 Ln(Sec81)Ln(Sec82)Ln(Sec83)2009 & after 2009*year 1993 1.515711 5.697388 5.065034 0.415885 1.740008 1.622361 0 0 1994 1.494245 5.998985 5.316176 0.401621 1.79159 1.670754 0 0 1995 1.556725 6.313686 5.353733 0.442584 1.84272 1.677794 0 0 1996 1.467259 6.219066 5.132311 0.383396 1.82762 1.635556 0 0 1997 1.387871 5.88684 4.857377 0.327771 1.772719 1.580499 0 0 1998 1.311273 6.150849 4.733342 0.270998 1.81659 1.554632 0 0 1999 1.147071 5.857525 4.328258 0.137212 1.767727 1.465165 0 0 2000 1.274294 6.280822 4.467074 0.242392 1.837501 1.496734 0 0 2001 1.337286 6.042357 4.518905 0.290642 1.798794 1.50827 0 0 2002 1.141895 5.442209 3.901532 0.132689 1.694185 1.361369 0 0 2003 1.056197 5.014048 3.594178 0.054675 1.612244 1.279315 0 0 2004 0.998661 5.619306 3.450622 -0.00134 1.726208 1.238555 0 0 2005 0.985558 6.046305 3.295317 -0.01455 1.799447 1.192502 0 0 2006 0.941284 6.286797 3.208746 -0.06051 1.838452 1.16588 0 0 2007 0.834809 6.122166 2.878751 -0.18055 1.811916 1.057357 0 0 2008 0.868308 5.421345 3.099576 -0.14121 1.690344 1.131265 0 0 2009 0.885721 3.331253 3.014507 -0.12135 1.203349 1.103436 1 2009 2010 0.670735 2.579223 2.405958 -0.39938 0.947488 0.877948 1 2010 2011 0.593811 2.224018 2.246098 -0.52119 0.799315 0.809194 1 2011 2012 0.525523 1.656104 2.225337 -0.64336 0.504468 0.799908 1 2012 2012 in 2012$



### 0.460404 1.450893 1.949591 Sector 81 0.359379 1.132526 1.521795 SUMMARY OUTPUT 5.899981 Regression Statistics 2.44765 Multiple R 0.953102 R Square 0.908404 Adjusted R Square

0.903315 Standard Error

0.098463 Observations 20

ANOVA df SS MS F Significance F Regression 1 1.730695 1.730695 178.5153 8.79E-11 Residual 18 0.174509 0.009695 Total 19 1.905204

Coefficients

Standard Errort Stat P-value Lower 95%Upper 95% Lower 95.0%

Upper 95.0% Intercept 102.2087 7.646032 13.36755 8.72E-11 86.14502 118.2725 86.14502 118.2725 Year -0.05102 0.003818 -13.361 8.79E-11 -0.05904 -0.04299 -0.05904 -0.04299



### ProjectionsRaw Data Raw Data Year Actual 81 Actual 82 

### Actual 83 Projected 81 Projected 82

Projected 83

Max Min

### 1993 1.515711 5.697388 

### 5.065034 1.708243 6.045661 5.825414 6.045661 1.708243



### 1994 1.494245 5.998985 

### 5.316176 1.623282 6.024469 5.555436 6.024469 1.623282 

### 1995 1.556725 6.313686 

### 5.353733 1.542547 6.00335 5.29797 6.00335 1.542547 

### 1996 1.467259 6.219066 

### 5.132311 1.465827 5.982306 5.052436 5.982306 1.465827 

### 1997 1.387871 5.88684

### 4.857377 1.392923 5.9613364.818281 5.961336 1.392923 

### 1998 1.311273 6.150849

### 4.733342 1.323645 5.9404394.594979 5.940439 1.323645 

### 1999 1.147071 5.857525

### 4.328258 1.257812 5.919615 4.382025 5.919615 1.257812 

### 2000 1.274294 6.280822

### 4.467074 1.195254 5.898864 4.17894 5.898864 1.195254 

### 2001 1.337286 6.042357

### 4.518905 1.135807 5.878186 3.985268 5.878186 1.135807 

### 2002 1.141895 5.442209 

### 3.901532 1.079317 5.857581 3.800571 5.857581 1.079317 

### 2003 1.056197 5.014048 

### 3.594178 1.025636 5.837048 3.624434 5.837048 1.025636 

### 20040.998661 5.619306 

### 3.450622 0.974626 5.816586 3.45646 5.816586 0.974626 

### 2005 0.985558 6.046305 

### 3.295317 0.926152 5.796197 3.296271 5.796197 0.926152 

### 20060.941284 6.286797 

### 3.2087460.880089 5.775879 3.143505 5.775879 0.880089 

### 2007 0.834809 6.122166 

### 2.878751 0.836317 5.755632 2.99782 5.755632 0.836317 

### 20080.868308 5.421345 

### 3.0995760.794722 5.735456 2.858886 5.735456 0.794722 

### 2009 0.885721 3.331253 

### 3.014507 0.755196 3.32137 2.726392 3.32137 0.755196 

### 20100.670735 2.579223 

### 2.4059580.717636 2.653543 2.600037 2.653543 0.717636 

### 2011 0.593811 2.224018 

### 2.2460980.681944 2.119996 2.479539 2.479539 0.681944 

### 2012 0.525523 1.656104 

### 2.225337 0.648027 1.693729 2.364625 2.364625 0.648027 

### 2013 0.615797 1.353172 2.255037 2.255037 0.615797 

### 2014 0.585169 1.08109 2.150527 2.150527 0.585169 

### 2015 0.5560660.863716 2.050861 2.050861 0.556066 

### 2016 0.528409 0.690049 1.955814 1.955814 0.528409 

### 2017 0.502128 0.551301 1.865172 1.865172 0.502128 

### 2018 0.477155 0.440451 1.778731 1.778731 0.440451 

### 2019 0.453423 0.35189 1.696296 1.696296 0.35189 

### 2020 0.430872 0.281135 1.617681 1.617681 0.281135 

### 2021 0.409442 0.224608 1.54271 1.54271 0.224608 

### 2022 0.389078 0.179446 1.471213 1.471213 0.179446 

### 2023 0.369727 0.143365 1.40303 1.40303 0.143365 

### 2024 0.351338 0.114538 1.338007 1.338007 0.114538 

### 2025 0.3338640.091508 1.275997 1.275997 0.091508 

### 2026 0.317259 0.073109 1.216861 1.216861 0.073109 

### 2027 0.30148 0.058409 1.160466 1.160466 0.058409

### Raw Data: BLS ERM realdomreq (real domestic employment requirements table for 1993-2012), http://www.bls.gov/emp/ep_data_emp_requirements.htm

Year **2005$** Sector Definition NAICS

1993 81 Motor vehicle manufacturing 3361 1994 82 Motor vehicle body and trailer manufacturing 3362 1995 83 Motor vehicle parts manufacturing 3363 1996 69 Engine, turbine, and power transmission equipment manufacturing 3336 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Sector 82 SUMMARY OUTPUT

Regression Statistics Multiple R 0.707454 R Square 0.500491 Adjusted R Square

0.472741 Standard Error

0.28686 Observations 20

ANOVA df SS MS F Significance F Regression 1 1.484112 1.4841117 18.0354 0.000485 Residual 18 1.481199 0.0822888 Total 19 2.965311

Upper 95.0% Coefficients Standard Error t Stat P-value Lower 95%Upper 95% Lower 95.0% Intercept 96.19198 22.27583 4.3182216 0.000414 49.39219 142.9918 49.39219 Year -0.04724 0.011124 -4.24681 0.000485 -0.07061 -0.02387 -0.07061

SUMMARY OUTPUT

Regression Statistics Multiple R 0.989315 R Square 0.978745 Adjusted R Square

0.97476Standard Error 0.062763 Observations 20

ANOVA df SS MS F Significance F Regression 3 2.9022825 0.967427 245.5863 1.38E-13 Residual 16 0.0630281 0.003939 Total 19 2.9653106

Coefficients

Standard Error t Stat P-value Lower 95%Upper 95% Intercept 8.7979 6.8093774 1.292027 0.214699 -5.63734 23.23313 2009 & after443.3857 56.841453 7.800394 7.68E-07 322.8873 563.8842 2009*year -0.22097 0.0282743 -7.81521 7.5E-07 -0.28091 -0.16103 Year -0.00351 0.0034038 -1.03165 0.317578 -0.01073 0.003704

Max Min 83 81 83 81 83 81 83 81 83 81 83 81 83 82 83 82 83 82 83 82 83 82 83 82 83 82 83 82 83 82 83 82Sector 83 SUMMARY OUTPUT

Regression Statistics Multiple R 0.973657 R Square 0.948009 Adjusted R Square

0.94512 Standard Error

0.067546 Observations 20

ANOVA df SS MS F Significance F Regression 1 1.497451 1.497451 328.2118 5.27E-13 Residual 18 0.082124 0.004562 Total 19 1.579575

Upper 95.0% Coefficients Standard Errort Stat P-value Lower 95%Upper 95% Lower 95.0% 142.9918 Intercept 96.33645 5.245208 18.36656 4.17E-13 85.31667 107.3562 85.31667 -0.02387 Year -0.04745 0.002619 -18.1166 5.27E-13 -0.05296 -0.04195 -0.05296

4 5 6 7

Actual 81
Actual 82 6 7Lower 95.0%

Upper 95.0% -5.63734 23.23313 322.8873 563.8842 -0.28091 -0.16103 -0.01073 0.003704 0 1 2 3 4

1990 2000 2010 2020 2030 Actual 82
Actual 83 Projected 81 Projected 82 Projected 83

0 1 2 3 4 5

1990Upper 95.0%

107.3562 -0.04195



# Actual 822000 2010 2020 2030 Actual 82

# Annual Survey of Manufactures

https://www.census.gov/manufacturing/asm/ 2011 Statistics for Industry Groups and Industries (REFRESH), accessed 20140805

Geographic area

name 2007 NAICS

codes and NAICS-based rollup code Meaning of 2007 NAICS codes and NAICS-based rollup

code Year Number of employees Relative

standard error of total number of employees (%) United States 336Transportation equipment manufacturing 2011 1238895 1 United States 3361Motor vehicle manufacturing 2011 149599 2 United States 336112Light truck and utility vehicle manufacturing 2011 60705 1 United States 33612Heavy duty truck manufacturing 2011 29103 3 United States 336120Heavy duty truck manufacturing 2011 29103 3 United States 3362Motor vehicle body and trailer manufacturing 2011 97728 1 United States 33621Motor vehicle body and trailer manufacturing 2011 97728 1 United States 336211Motor vehicle body manufacturing 2011 36441 2 United States 336212Truck trailer manufacturing 2011 22944 2

United States 336213Motor home manufacturing 2011 6826 7 United States 336214Travel trailer and camper manufacturing 2011 31517 2 United States 3363Motor vehicle parts manufacturing 2011 405353 1

Using 81 Using 81 Using 81 Using 82 Using 83 3361 336112 33612 3362 3363 2011 0.547334 0.45042878 0.846509 2.84586 1.663243 2018 0.382969 0.315164161 0.592301 0.591257 1.19315 2019 0.363921 0.299489231 0.562842 0.472373 1.137853 2020 0.345821 0.284593905 0.534849 0.377393 1.08512 2021 0.328622 0.27043941 0.508248 0.301511 1.03483 2022 0.312277 0.2569889 0.48297 0.240886 0.986871 2023 0.296746 0.244207361 0.458949 0.192451 0.941134 2024 0.281987 0.232061521 0.436123 0.153755 0.897518 2025 0.267962 0.220519764 0.414432 0.12284 0.855922 2026 0.254635 0.209552045 0.39382 0.09814 0.816255 2027 0.241971 0.199129814 0.374233 0.078407 0.778425



# Economic Census Note: as of 20140818, only parts of the data from the 2012 Economic Census have been released, and the above sectors are generally
Geographic Area Name

2007 NAICS code

Meaning of 2007 NAICS code Footnote identifier CompaniesNumber of establishments http://factfinder2.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=tAnnual payroll

($1,000) Total fringe

benefits ($1,000) Relative standard

error of total fringe benefits (%) Employer's

cost for health insurance ($1,000) Employer's cost

for defined benefit pension plans ($1,000) Employer's cost for

defined contribution plans ($1,000) Employer's cost

for other fringe benefits ($1,000)Production

workers avg per year 77743343 28527085 1 11235029 3526292 2163629 11602135 839938 10060883 4258652 1 1820629 631049 205542 1601432 128160 4427426 2082004 1 815247 373474 91602 801681 54819 1594724 707837 2 350267 88175 26767 242628 23143 1594724 707837 2 350267 88175 26767 242628 23143 4101669 1011515 1 427122 24755 60308 499330 76305 4101669 1011515 1 427122 24755 60308 499330 76305 1598210 438179 2 198244 13976 27528 198430 27413 907126 239082 3 105307D D 108264 18708

285310 75920 7 34474D D 36379 5072 1311024 258333 2 89097 5513 7467 156256 25113 20616517 7333411 1 3189114 571137 488973 3084187 308323

Max Min Max Min

3362 336112 2.84586043 0.450429 3363 336112 1.1931498 0.315164 3363 336112 1.13785341 0.299489 3363 336112 1.08511971 0.284594 3363 336112 1.03482996 0.270439 3363 3362 0.98687087 0.240886 3363 3362 0.94113445 0.192451 3363 3362 0.89751767 0.153755 3363 3362 0.85592231 0.12284 3363 3362 0.81625469 0.09814 3363 3362 0.77842545 0.078407

Note: as of 20140818, only parts of the data from the 2012 Economic Census have been released, and the above sectors are generallynotincluded. Because of the age of the 2007 data, they will be omitted for now. Production workers, nonleased employees wages ($1,000)

Value added ($1,000)

Total cost of materials ($1,000)

Total value of shipments ($1,000)
Number of employees

Annual payroll ($1,000)

Production workers avg per year

Production workers hours (1,000)Production

workers hours (1,000) Production

workers wages ($1,000) Total cost of

materials ($1,000) Relative standard

error of total cost of materials (%) Materials, parts,

containers, packaging, etc. used ($1,000) Cost of resales

($1,000) Cost of

contract work ($1,000) Cost of

purchased fuels ($1,000) 165988244848496 434363633 1 406957402 1087627511720410 1156999 245848 8055677 178923145 2 177329993 383775 424392 297791 106447 3818925 92747937 1 92304533 31514 31772 153528 40633 1134328 22887790 2 22322887 286412 208488 24705 40633 1134328 22887790 2 22322887 286412 208488 24705 148647 2773623 18107655 1 17124384 606870 204480 54792 148647 2773623 18107655 1 17124384 606870 204480 54792 53841 1010567 6526678 2 5947430 423642 83738 22742 37364 656984 4307948 2 4171016 66773 25638 10541

10065 194506 1564952 6 1501758 28380 25529 2861 47377 911566 5708078 1 5504180 88074 69575 18647 62328813839879 123019351 1 113474746 5830563 1860575 388917

Total capital expenditures (new and used) ($1,000)Relative

standard error of cost of purchased fuels (%) Quantity of

electricity purchased for heat and power (1,000 kWh) Purchased

electricity ($1,000) Relative

standard error of purchased electricity (%) Quantity of

generated electricity (1,000 kWh) Quantity of

electricity sold or transferred (1,000 kWh) Total value of

shipments ($1,000) Relative

standard error of total value of shipments (%) Value of products

shipments ($1,000) 1 57936837 3652547 1 884437 294591 691936996 1 673679203 1 9686153 487193 1D D 234153213 2 233074261 1 4575586 226590 1D D 121704035 1 121565353 7 632749 45298 1D S 27339341 2 26842117 7 632749 45298 1D S 27339341 2 26842117 3 1458731 117130 2148(s) S 26812629 1 25744363 3 1458731 117130 2148(s) S 26812629 1 25744363 4 617025 49126 3148(s) S 9919270 2 9209939 8 425564 33979 2S S 6760391 2 6604287

20 73318 6423 12S S 2200726 7 2138116 3 342824 27601 2S S 7932242 1 7792022 321448287 1464551 1D D 185374641 1 177532965Value of

interplant transfers ($1,000)Total

miscellaneous receipts ($1,000) Value of

resales ($1,000) Contract

receipts ($1,000) Other

miscellaneous receipts ($1,000) Value added

($1,000) Relative

standard error of value added (%) Total

inventories, end of year ($1,000) Relative

standard error of total inventories, end of year (%) 371534651825779313253854 1231216 3772723 264738351 1 1E+08 1 D 1078952 558971D D 55455127 1 6839157 2 D 138682D D D 29055858 1 2160916 1 D 497224 448751D D 4491482 3 2097467 7 D 497224 448751D D 4491482 3 2097467 7 D 1068266 752918 50722 264626 8904991 2 3637354 1 D 1068266 752918 50722 264626 8904991 2 3637354 1 D 709331 521642 43767 143921 3507737 2 1606410 2 D 156104 70489 4528 81087 2512879 3 872490 3

S 62611 49793D D 649141 13 398760 4 D 140220 110994D D 2235234 2 759694 3 25857298 7841676 6803663 114791 923222 63007776 1 14610975 1Finished

goods inventories, end of year ($1,000) Relative

standard error of finished goods inventories, end of year (%) Work-inprocess inventories, end-of-year ($1,000) Relative

standard errorof work-inprocess inventories, end of year (%) Materials and

supplies inventories, end of year ($1,000) Relative

standard error of materials and supplies inventories, end of year (%) Total

inventories, beginning of year ($1,000) Finished

goods inventories, beginning of year ($1,000) Work-inprocess inventories, beginning of year ($1,000) 11145193 1 66183057 1 22985170 1 90082471 1034923259498024 806801 1 1965351 5 4067005 2 5976422 803650 1716537 247480 1 650089 1 1263347 1 1759557 209088 582371 242836 1 938476 11 916154 5 2072029 343270 780325 242836 1 938476 11 916154 5 2072029 343270 780325 960073 3 913378 2 1763903 1 3135326 810497 833410 960073 3 913378 2 1763903 1 3135326 810497 833410 390949 3 533605 3 681856 2 1423117 323513 480980 227058 4 186123 7 459309 2 688187 156518 192164

72627 10 113430 4 212702 3 357200 66717 98704 269438 9 80220 3 410035 2 666821 263748 61562 3953429 3 3016731 1 7640815 1 12437011 3347926 2686697Materials and

supplies inventories, beginning of year ($1,000) Total capital

expenditures (new and used) ($1,000)Relative

standard error of total capital expenditures (new and used) (%) Capital

expenditures on buildings and other structures (new and used) ($1,000) Capital

expenditures on machinery and equipment (new and used) ($1,000) Capital

expenditures

on automobiles, trucks, etc. for highway use ($1,000) Capital

expenditures on computers and peripheral data processing equipment ($1,000) Capital

expenditures on all other machinery and equipment ($1,000) Total

depreciation ($1,000) 2023521517688496 1 2845697 14842799 233177 73175013877871 13241652 3456235 6480072 1 996364 5483709 55464 125261 5302984 4079201 968098 1464286 1 52733 1411553 14695 41766 1355092 1867522 948434 119135 2 15728 103407 792 13071 89543 173398 948434 119135 2 15728 103407 792 13071 89543 173398 1491419 334317 3 85519 248797 19751 27668 201378 253998 1491419 334317 3 85519 248797 19751 27668 201378 253998 618624 139665 6 50002 89663 6356 10371 72937 98280 339505 95757 2 15519 80239 4037 5390 70812 66425

191778 10457 1 748 9709 248 2847 6614 18316 341511 88437 2 19251 69187 9111 9060 51016 70977 6402388 5633770 1 441193 5192577 67768 184945 4939864 5403227Relative

standard error of total depreciation (%) Total rental

payments ($1,000) Relative

standard error of total rental payments (%) Rental

payments for buildings and other structures ($1,000) Rental

payments for machinery and equipment ($1,000) Total other

expenses ($1,000) Relative

standard error of total other expenses (%) Temporary

staff and leased employee expenses ($1,000) Expensed

computer hardware and other equipment ($1,000) Expensed

purchases of software ($1,000) 1 2588113 1 1778831 80928240039824 1 4386152 442691 429655 1 138887 3 74602 64285 5663545 1 947628 25423 26374 1 39655 1 14921 24734 2051934 1 240359 10204D 1 40304 8 27774 12530 842081 3 24811 6318 9051 1 40304 8 27774 12530 842081 3 24811 6318 9051 2 145447 3 120556 24891 2445306 1 74910 15932 9045 2 145447 3 120556 24891 2445306 1 74910 15932 9045 4 71897 5 61012 10885 660877 2 44042 9779 4659 2 21805 8 17172 4634 1013237 2 13420 3899 1300

8 6716 8 6305 410 123408 1 3010 685 1771 2 45029 5 36068 8961 647784 2 14438 1569 1315 1 911990 2 615833 29615711132439 2 1503525 61365 64305Data

processing and other purchased computer services ($1,000) Communicatio

n services ($1,000) Repair and

maintenance services of buildings and/or machinery ($1,000) Refuse

removal (including hazardous waste) services ($1,000) Advertising

and promotional services ($1,000) Purchased

professional and technical services ($1,000) Taxes and

license fees ($1,000) All other

expenses ($1,000) 2645861 441217 3311816 718913 744547 2887260 1698411 22333300 1.213894 32162 32574 669259 146472 157214 444734 260587 2921117 0.547334 D 11540 391434 60063 1816 172675 132740 1018200 0.450429 3702 9648 70666 17683 10416 3591423002(s) 630869 0.846509 3702 9648 70666 17683 10416 3591423002(s) 630869 0.846509 13262 28489 100762 34774 82415 100817 68989 1915910 2.84586 13262 28489 100762 34774 82415 100817 68989 1915910 2.84586 8622 14876 51641 12038 30308 57037 26743 401132 2.763611 1725 6130 28140 4750 9326 18352 12862 913333 2.767296

1435 1787 3440 1593 11142 4896 4382 89269 2.304694 1481 5697 17540 16394 31640 20532 25003 512176 3.16594 106653 107776 1345145 209170 147832 784773 541183 6260711 1.663243

2.84586 0.450429In 2012$ Adjusted for domestic vs. foreign 1.19305 0.931261 0.537936 0.419897 0.442694 0.345555 0.831974 0.649415 0.831974 0.649415 2.796994 2.183254 2.796994 2.183254 2.716156 2.120154 2.719778 2.122981

2.26512 1.768088 3.111577 2.428808 1.634683 1.275987Table 1.1.9. Implicit Price Deflators for Gross Domestic Product

[Index numbers, 2009=100] Bureau of Economic Analysis Last Revised on: March 27, 2014 - Next Release Date April 30, 2014 **Line 2005**  **2006 2007**  **2008 2009**  **2010 2011**  1 **Gross domestic product** 91.991 94.818 97.335 99.236 100 101.211 103.199 1.141 1.107 1.079 1.058 1.050 1.037 1.017**2012 2013** 

105.002 106.588 1.000 0.985yearID 2b/3 Pickup and Vans Vocational Tractor/Trailer Total 2018 $0 $0 $115,743,311 $115,743,311 2019 $0 $0 $113,358,312 $113,358,312 2020 $0 $0 $112,192,029 $112,192,029 2021 $328,485,418 $591,417,324 $1,253,591,220$2,173,493,962 2022 $323,957,377 $584,697,312 $1,252,209,380$2,160,864,069 2023 $490,731,733 $541,364,361 $1,191,523,711$2,223,619,805 2024 $590,353,678 $951,368,648 $1,913,449,492$3,455,171,817 2025 $731,272,747 $960,915,888 $1,954,988,539$3,647,177,174 2026 $788,419,524 $967,293,429 $1,980,143,715$3,735,856,668 2027 $844,132,964 $1,971,526,565 $2,493,497,566$5,309,157,095

From GHGHD2 Vehicle Program Costs for GH_20150205.xlsx BenefitCostAnalysis version 3.33.0.1 2/5/2015 14:20 PackageCost version 3.20.1.1 Markup ICM Reference case 1a WRsensitivity

(2b3) Primary USD_Basis USD_2012 Control Case (VDS) 3 Control Case (2b3) 320140804For converting to HD, in ERM, need to add new sector: motor vehicle body & trailer manufacturing ERM values updated. 20140805ASM 2011 values identified related to HD, put in ASM EC worksheetFor converting to HD, in ERM, need to add new sector: motor vehicle body & trailer manufacturing