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This paper analyzes the factors that influence private e-commerce from the demand side in Spain. We use econometric models and a survey of 18,948 individuals for 2003, of which 5,273 are internet users. First, we analyze the determinants of the decision to purchase or not to purchase in the Web taking into account the link between e-commerce and the access and use of the Internet service. Then we characterize the e-consumer profile. The model suggests that the main factors that influence the decision to use e-commerce are accessibility to the Net, income and gender. Second we use models specific to the users of e-commerce to measure the effects of the determinants on the number of purchases and the expenditure in the Web. For the expenditure equation we use the algorithm RETINA, which improves the forecast ability. These models can be used to assess the adoption, use and expenditure of new users. This may help the operators to guide investment decisions and the administrations to reduce e-exclusion. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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