Economic Forecasting Model in Practice Using the Regression Analysis: The Relationship of Price, Domestic Output, Gross National Product, and Trend Variable of Gas or Oil Production
Authors: Ashiquer Rahman, Ummey Salma, Afrin Jannat
Abstract:
Recently, oil has become more influential in almost every economic sector as a key material. As can be seen from the news, when there are some changes in an oil price or Organization of the Petroleum Exporting Countries (OPEC) announces a new strategy, its effect spreads to every part of the economy directly and indirectly. That’s a reason why people always observe the oil price and try to forecast the changes of it. The most important factor affecting the price is its supply which is determined by the number of wildcats drilled. Therefore, a study in relation between the number of wellheads and other economic variables may give us some understanding of the mechanism indicated the amount of oil supplies. In this paper, we will consider a relationship between the number of wellheads and three key factors: price of the wellhead, domestic output, and Gross National Product (GNP) constant dollars. We also add trend variables in the models because the consumption of oil varies from time to time. Moreover, this paper will use an econometrics method to estimate parameters in the model, apply some tests to verify the result we acquire, and then conclude the model.
Keywords: Price, domestic output, GNP, trend variable, wildcat activity.
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 27References:
[1] “Basic Econometrics: Student Solutions Manual for Use with Basic Econometrics 0072427922.” Ebin.pub, 21 Dec. 2019, ebin.pub/basic-econometrics-student-solutions-manual-for-use-with-basic-econometrics-0072427922.html
[2] Rudolph, Kurt. (2016). Benchmarking Exploration Predictions and Performance Using 20+ Years of Drilling Results: One Company’s Experience. AAPG Bulletin. IN PRESS. 10.1306/06281616060.
[3] Koulidis, Alexis & Kelessidis, Vassilios & Shehab, Ahmed. (2021). Exploitation of Field Drilling Data with an Innovative Drilling Simulator: Highly Effective Simulation of Rotating and Sliding Mode. 10.2118/202176-MS.
[4] Lirong Dou, Zhixin Wen, Jianjun Wang, Zhaoming Wang, Zhengjun He, Xiaobing Liu, Ningning Zhang, Analysis of the world oil and gas exploration situation in 2021, Petroleum Exploration and Development, Volume 49, Issue 5, 2022, Pages 1195-1209, ISSN 1876-3804, https://doi.org/10.1016/S1876-3804(22)60343-4. (https://www.sciencedirect.com/science/article/pii/S1876380422603434)
[5] Chen, Xi & Wang, Zuo-qian & Li, Chang-xuan & Gao, Feng & Wei, Qing. (2024). Characteristics of Global Offshore Oil and Gas Development. 10.1007/978-981-97-0475-0_87.
[6] Boukredera, F.S., Hadjadj, A. & Youcefi, M.R. Drilling vibrations diagnostic through drilling data analyses and visualization in real time application. Earth Sci Inform 14, 1919–1936 (2021). https://doi.org/10.1007/s12145-021-00649-8
[7] Damodar N. Gujarati, Basic Econometrics, 4th Edition, Tata McGraw Hill.