Vittorio Paciulli | University of Salento (original) (raw)

Vittorio Paciulli

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Papers by Vittorio Paciulli

Research paper thumbnail of Car Prices: a regression model

The aim of this paper is to explain how car prices vary depending on the characteristics of the v... more The aim of this paper is to explain how car prices vary depending on the characteristics of the vehicle,
developing a multivariate regression model.
We all have a car and in the moment of purchasing we can choose among different models. So the prices
vary according to the different optional or different engine, different needs.
But nobody knows that our choices make the prices. It seems a banal assertion, but we can also rephrase it
in : “nobody knows how and in which measure our choices influence prices”.
Our intention is to quantify the effect of our choices by a model that includes the most important variable
that should influence prices.
The paper starts with a short description of the parent population, so follows the description of the data
sample. Subsequently the aim of the model will be illustrated both in qualitative terms and in quantitative
terms.
Every data processing is done with Gretl.

Research paper thumbnail of Car Prices: a regression model

The aim of this paper is to explain how car prices vary depending on the characteristics of the v... more The aim of this paper is to explain how car prices vary depending on the characteristics of the vehicle,
developing a multivariate regression model.
We all have a car and in the moment of purchasing we can choose among different models. So the prices
vary according to the different optional or different engine, different needs.
But nobody knows that our choices make the prices. It seems a banal assertion, but we can also rephrase it
in : “nobody knows how and in which measure our choices influence prices”.
Our intention is to quantify the effect of our choices by a model that includes the most important variable
that should influence prices.
The paper starts with a short description of the parent population, so follows the description of the data
sample. Subsequently the aim of the model will be illustrated both in qualitative terms and in quantitative
terms.
Every data processing is done with Gretl.

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