| Title |
Marketing technology in macroeconomics
|
|---|---|
| Published in |
SpringerPlus, October 2012
|
| DOI | 10.1186/2193-1801-1-28 |
| Pubmed ID | |
| Authors |
Kenichi Tamegawa |
| Abstract |
In this paper, we incorporate a marketing technology into a dynamic stochastic general equilibrium model by assuming a matching friction for consumption. An improvement in matching can be interpreted as an increase in matching technology, which we call marketing technology because of similar properties. Using a simulation analysis, we confirm that a positive matching technology shock can increase output and consumption. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 10% |
| Netherlands | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 20% |
| Student > Doctoral Student | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Professor | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 4 | 40% |
| Business, Management and Accounting | 2 | 20% |
| Agricultural and Biological Sciences | 1 | 10% |
| Engineering | 1 | 10% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2013.
All research outputs
#15,298,293
of 22,751,628 outputs
Outputs from SpringerPlus
#932
of 1,853 outputs
Outputs of similar age
#108,406
of 172,597 outputs
Outputs of similar age from SpringerPlus
#8
of 15 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,853 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 172,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.