Results 81 to 90 of about 476,123 (315)
Does Neoclassical Econometrics Have a Scientific Foundation? A Critique Based on Hollis and Nell
The 2008 global financial crisis has rekindled the debate over the scientific foundations of neo-Classical econometrics. Neo-Classical based econometrics interprets whatever it sees as individuals choosing with some degree of (perhaps bounded ...
Karim Errouaki
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A hybrid econometric-machine learning approach for relative importance analysis: Prioritizing food policy [PDF]
A measure of relative importance of variables is often desired by researchers when the explanatory aspects of econometric methods are of interest. To this end, the author briefly reviews the limitations of conventional econometrics in constructing a reliable measure of variable importance.
arxiv
Great Expectatrics: Great Papers, Great Journals, Great Econometrics [PDF]
The paper discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). The various ISI RAM that are calculated annually or updated daily are defined and analysed, including
Chia-Lin Chang+2 more
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Mesure de l’utilité marginale et indice de prix chez Ragnar Frisch
This paper investigates how Ragnar Frisch has grounded econometrics on a specific link between theoretical measurement and empirical measurement. His work on marginal utility of income offers a good example to illustrate his approach.
Ariane Dupont-Kieffer
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Due to the COVID19 pandemic, exams needed to be carried out digitally in spring term 2020. At the faculty of economics at the Bremen University of Applied Science, the instructors used for long time problems that are implemented in STACK. These STACK problems have been also used to conduct final exams without supervision.
Riebe, Katharina, Varmaz, Armin
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It is widely discussed that GDP growth has a vague impact on environmental pollution due to carbon dioxide emissions from fossil fuels consumed in production, transportation, and power generation.
Ehsan Rasoulinezhad+2 more
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This paper provides a survey and synthesis of econometric tools that have been employed to study economic growth. While these tools range across a variety of statistical methods, they are united in the common goals of first, identifying interesting ...
Durlauf,S.N.+2 more
core +3 more sources
Time Series Analysis and Forecasting of the US Housing Starts using Econometric and Machine Learning Model [PDF]
In this research paper, I have performed time series analysis and forecasted the monthly value of housing starts for the year 2019 using several econometric methods - ARIMA(X), VARX, (G)ARCH and machine learning algorithms - artificial neural networks, ridge regression, K-Nearest Neighbors, and support vector regression, and created an ensemble model ...
arxiv
A social power index for hierarchically structured populations of economic agents [PDF]
Econometrics ...
Brink, J.R. van den, Gilles, R.P.
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Development Of An Econometric Model Case Study: Romanian Classification System
The purpose of the paper is to illustrate an econometric model used to predict the lean meat content in pig carcasses, based on the muscle thickness and back fat thickness measured by the means of an optical probe (OptiGrade PRO).The analysis goes ...
Savescu Roxana
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