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An Improved Empirical Model For Oil Prices

An Improved Empirical Model For Oil Prices

This is an update to the post An Empirical Model For Oil Prices and Some Implications in which we discussed a model for oil prices as a function of 3 years of production, that is oil price in year t was estimated by production in year t, the discrete first derivative of production in year t, and the discrete second derivative in year t. We subsequently published a paper titled Oil Extraction, Economic Growth, and Oil Price Dynamics using the same model. This article contains most of our intuition on how peak oil will effect oil prices. We believe in fact that peak oil is about extraction prices rising faster than market prices and hence lower profitability for the oil industry.

Before going on, we note that all available data is very approximate. Jean Laherrère has exhaustively documented incoherence in extraction data from all standard sources [1]. We use a single price of oil provided by BP, but there is a large spectrum of prices for oil of different densities, chemistry, and provenance [2]. For this reason we do not search a perfect fit but rather try to understand the dynamics creating oil demand.

Inspired by work of Gail Tverberg and Rune Likvern on interest rates and oil prices, we added interest rates to the independent variables. Without interest rates, we had an adjusted R squared of .55.

We used extraction and price data from BP. The interest rate is the average yearly rate of the U.S. Federal Reserve. The justification for using this rate is that we believe that the U. S. dollar is the currency of oil markets and the U.S. Fed rate is the effective rate for the oil business.

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An Empirical Model For Oil Prices and Some Implications

An Empirical Model For Oil Prices and Some Implications

Introduction

This work is preliminary. It is a preview of part of a paper I am writing with Aude Illig. There are three main reasons I am making this post. The first is as a public service. There are many people reading this blog who are directly affected by oil prices and who have to make decisions based on future oil prices. Having a model to understand the dynamics of oil prices is of use to them. The second reason is that some people reading this blog model oil extraction. These models either omit price considerations or make assumptions on them. Our model is a large improvement on these assumptions so it should improve their extraction models. The final reason is that I consider the quality of the comments on this blog to be high. I believe that the feedback I get from this post will improve the quality of the final paper. Indeed, Dennis Coyne has already provided valuable feedback after previewing the post. This study has been a humbling experience. Get ready to throw out everything you thought you knew about oil prices.

The model does not by any means explain all oil price variation. What is remarkable is that with only one data set, it explains so much. Many factors may affect the price of oil. This model provides a base to which other variables can be added to find what explains oil prices.

I was asked to write a chapter titled “Strategies for an Economy Facing Energy Constraints” for a book last year which I wrote with my daughter. I do not think the book will be published but the chapter may be of interest to some. I have posted the pdf file on line and will refer to it often [2].

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Olduvai IV: Courage
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Olduvai II: Exodus
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