Have CAFE Standards Reduced the Effect of Gasoline Prices on Domestic Automobile Manufacturers’ Market Share of the US Market?
Vol: 1, Issue: 1
2006
- 232Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage232
- Downloads211
- Abstract Views21
Article Description
One of macroeconomists’ major concerns is GDP volatility, and understanding what causes this volatility is essential when attempting to reduce it. For decades, the automotive industry has been a major component of US GDP. Therefore, understanding the driving forces behind this industry indirectly contributes to the study of GDP volatility. This paper focuses on CAFE standards and how they change the effect of oil prices on US automobile sales.What motivates this paper is the fact that during the mid-to-late 80s, fluctuations in the market share of domestic automobile manufacturers diminished substantially. Figure 1 presents the sales of domestic automakers’ automobiles as a fraction of the domestic market (market share) from January 1974 to June 2004. One can easily notice that around month 170, which corresponds to February 1988, there is a dramatic decrease in volatility. What could be the cause in the decrease of this volatility? [excerpt]
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know