| Journal: | Journal of applied economics |
| Database: | CLASE |
| System number: | 000430347 |
| ISSN: | 1667-6726 |
| Authors: | Pei-Chun Lai1 Bessler, David A2 |
| Institutions: | 1Capital University of Economics and Business, International Shool of Economic Management, Beijing. China 2Texas A&M University, Department of Agricultural Economics, College Station, Texas. Estados Unidos de América |
| Year: | 2015 |
| Season: | May |
| Volumen: | 18 |
| Number: | 1 |
| Pages: | 173-197 |
| Country: | Argentina |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English abstract | This paper considers the use of two machine learning algorithms to identify the causal relationships among retail prices, manufacturer prices, and number of packages sold. The two algorithms are PC and Linear Non-Gaussian Acyclic Models (LiNGAM). The dataset studied comprises scanner data collected from the retail sales of carbonated soft drinks in the Chicago area. The PC algorithm is not able to assign direction among retail price, manufacturer price and quantity sold, whereas the LiNGAM algorithm is able to decide in every case, i.e., retail price leads manufacturer price and quantity sold |
| Disciplines: | Economía, Matemáticas |
| Keyword: | Precios, Economía industrial, Matemáticas aplicadas, Industria refresquera, Algoritmos, Modelos matemáticos, Chicago, Estados Unidos de América, Bebidas |
| Full text: | Texto completo (Ver PDF) |
