The Car Allowance Rebate System (CARS) or “cash for clunkers” launched during the height of the recession, was a $3 billion U.S. federal scrappage program, which officially started on July 1, 2009, processing of claims began July 24, and the program ended on August 24, as the appropriated funds were exhausted. The program was intended to provide economic incentives to U.S. residents to purchase a new, more fuel-efficient vehicle when trading in a less fuel-efficient vehicle. The program was promoted as providing stimulus to the economy by boosting auto sales, while putting safer, cleaner, and more fuel-efficient vehicles on the roadways.
NAtional Highway Traffic Satety Administration made the paid transaction databases, which contain the transaction level information for the 676,984 CARS transactions, the cancelled transaction databases (contain 16,922 CARS transactions) and 143998 consumer surveys available on its website.
One major purpose of the program is to get more fuel-efficient vehicles on the road. According to the transaction records, the average mpg of the trade-in vehicles was 15.81 and that of the new vehicles purchased was 24.97, which means the fuel efficiency was improved by 57.94% overall. The state with the biggest fuel efficiency improvement was Utah (66.23%) and the state with the smallest fuel efficiency improvement was Louisiana (51.26%).
| State | Fuel Efficiency Improvement |
|---|---|
| Utah | 66.23 |
| California | 66.03 |
| Oregon | 65.09 |
| Colorado | 64.67 |
| Montana | 64.27 |
| Arizona | 63.82 |
| Washington | 63.29 |
| Nevada | 63.02 |
| New Mexico | 61.53 |
| Idaho | 61.07 |
| State | Fuel Efficiency Improvement |
|---|---|
| Louisiana | 51.26 |
| Michigan | 53.51 |
| Mississippi | 53.67 |
| Alaska | 54.45 |
| Alabama | 54.73 |
| Arkansas | 55.74 |
| Nebraska | 55.84 |
| Delaware | 55.85 |
| Hawaii | 56.11 |
| South Dakota | 56.15 |
As a $3 billion U.S. federal scrappage program, the amount of vouchers got approved for each state was unevenly distributed. California – the most successful state in terms of the amount of voucher approved – got over 321 million dollars itself, which accounted for over 10% of the total amount, while DC only got less than 100 thousand dollors in total.
| State | Total Voucher Amount (Million) |
|---|---|
| California | 321.55 |
| Texas | 179.58 |
| New York | 153.61 |
| Florida | 143.56 |
| Illinois | 141.12 |
| Pennsylvania | 137.54 |
| Ohio | 134.37 |
| Michigan | 129.14 |
| New Jersey | 101.94 |
| Virginia | 98.60 |
| State | Total Voucher Amount (Million) |
|---|---|
| District of Columbia | 0.07 |
| Wyoming | 2.38 |
| Alaska | 4.73 |
| Montana | 6.19 |
| Hawaii | 7.18 |
| North Dakota | 8.75 |
| Vermont | 9.67 |
| South Dakota | 10.15 |
| Rhode Island | 10.53 |
| Delaware | 11.09 |
States like California, Texas and New York received more in total voucher amounts because of their larger populations, whereas New Hampshire and Vermont received the greatest per capita voucher amount (both above $15 per capita).
| State | Voucher Amount per Capita (dollar) |
|---|---|
| New Hampshire | 17.15 |
| Vermont | 15.45 |
| Minnesota | 13.55 |
| Michigan | 13.07 |
| North Dakota | 13.02 |
| Maryland | 12.80 |
| South Dakota | 12.47 |
| Delaware | 12.35 |
| Maine | 12.32 |
| Virginia | 12.32 |
| State | Voucher Amount per Capita (dollar) |
|---|---|
| District of Columbia | 0.11 |
| Mississippi | 4.11 |
| Wyoming | 4.23 |
| Nevada | 5.23 |
| Hawaii | 5.28 |
| Arizona | 6.00 |
| Montana | 6.26 |
| Alabama | 6.42 |
| New Mexico | 6.57 |
| Alaska | 6.66 |
The exact amount of all the transactions were undisclosed. But according to manufacturer suggested retail price (MSRP), the estimated price of vehicle purchased in DC was the highest ($25554.24).
| State | Average MSRP (dollar) |
|---|---|
| District of Columbia | 25554.24 |
| Wyoming | 23984.86 |
| North Dakota | 23865.57 |
| Alaska | 23702.60 |
| Nebraska | 23626.96 |
| South Dakota | 23532.34 |
| Louisiana | 23422.44 |
| Montana | 23265.45 |
| Arkansas | 23159.96 |
| New Jersey | 23114.35 |
| State | Average MSRP (dollar) |
|---|---|
| Arizona | 21055.14 |
| Utah | 21399.67 |
| Nevada | 21552.61 |
| West Virginia | 21570.33 |
| Florida | 21611.27 |
| Hawaii | 21639.21 |
| Oregon | 21704.62 |
| Maine | 21819.37 |
| Rhode Island | 21863.88 |
| Ohio | 21962.03 |
If you happen to live on the West Coast and came across the U.S. Energy Information Administration (EIA) Website, you will see how much more you’ve been paying for gas than any other regions in the United States. Did West Coast consumers purchase more fuel efficient cars than consumers in other regions because of the higher gas price and everything?
| Region | Price (04/20/15) | Price (07/06/09) |
|---|---|---|
| U.S. | 2.485 | 2.726 |
| East Coast | 2.443 | 2.605 |
| Midwest | 2.397 | 2.547 |
| Gulf Coast | 2.242 | 2.460 |
| Rocky Mountain | 2.427 | 2.591 |
| West Coast | 2.968 | 2.886 |
Wilcoxon rank sum test with continuity correction
data: paid.db.no.zero.mile$new_vehicle_car_mileage by paid.db.no.zero.mile$West_Coast
W = 24521512572, p-value < 2.2e-16
alternative hypothesis: true location shift is not equal to 0
The box plots and the ecdf’s above could suggest a difference of the gas price between west coast and the other regions in US. And taking from the result of the Mann-Whitney U test, the two-tailed p-value is less than \(2.2 \times 10^{-16}\). Set the significance level \(\alpha = 0.05\), the p-value is far less than \(\alpha\). So the result would be considered statistically significant and the null hypothesis of the test(The distributions of New Vehicle Mileage of the West Coast and New Vehicle Mileage of other regions are the same) should be rejected and concluded that the mileage of the new vehicles pursed on the West Coast is statistically higher than the other regions. In other words, West Coast consumers purchased more fuel efficient cars than consumers in other regions.
85.2% of the trade-in vehicles were American, but the number dropped to 38.09% of all the new puchased vehicles. Japanese cars took the dominant place in passenger car sales. And the sale for “category 1 truck” was slightly higher for the American manufactures than their Japanese counterpart. But American manufactures still took the lead on the sales of ‘category 2’ and ‘catgory 3’ trucks.
Takeaway: American Manufactures still stand strong in terms of the sales of trucks. But they need to watch out their Asian competitors on the fuel-efficient passenger cars.
The previous owners of “passenger car”, “category 1 truck” and “category 2 truck” were more willing to buy vehicles provided higher amount of voucher, while previous “category 3 truck” owner preferred to buy category 2 and 3 trucks even if it means they got voucher of lower value.
Takeaway: For all the dealers, give a better deal to the cars you want to sell most. You’ll see the result!
Many participants traded in their old trucks and bought passenger cars instead.
Takeaway: The trade-in program may attract more consumers who want to change the type of their vehicles (say trade in truck for passenger car) than those who only want a newer or better same type of car.
According to 143998 cosumer surveys, 88.21% of the participants of the program won’t have purchased a new or used vehicle during the period of the program without the incentive(55 days started from July 24, 2009). For those participants who did plan to buy a vehicle, the program borrowed the sales that would have occured on average 2.87 years later, which was helpful since U.S. economy was struggling at that time.
But the program led to a gain in market share for Japanese and Korean manufacturers at the expense of American car makers. 85.2% of the trade-in were of American brand and only 38.09% of the new purchased were from American car maker, another 46.26% and 11.57% went to Japanese and South Korean manufacturers, seperately.
But the program definitely put many greener, safer, more fuel-efficient cars on the road in a short period.
But to verify the claims on market impact of C.A.R.S and fiscal stimulus the program provided, we need to collect more data on the long-run automobile sales in U.S. and the unemployment rate and jobs created in the automobile industry. And more importantly, a economist.