Econometrics
In: Revue économique, Band 4, Heft 3, S. 440
ISSN: 1950-6694
4362 Ergebnisse
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In: Revue économique, Band 4, Heft 3, S. 440
ISSN: 1950-6694
In: The economic journal: the journal of the Royal Economic Society, Band 114, Heft 499, S. F558-F559
ISSN: 1468-0297
In: Journal of economic studies, Band 27, Heft 4/5, S. 316-325
ISSN: 1758-7387
Econometrics labours under the same limitations as economics: it rests on unrealistic hypotheses (and non‐operational concepts) and is isolated from other sciences. It should try to test economic hypotheses and estimate relationships that constitute theory, notwithstanding the poor available data. Many econometrists are no longer interested in measurement, but in art for art's sake: econometrics becomes abstract mathematisation.
Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties, in a unified and coherent framework. This book contributes to this literature by collecting a set of carefully evaluated contributions that are grouped amongst two topics in financial economics. The first three papers refer to macro-finance issues for real economy, including the elasticity of factor substitution (ES) in the Cobb-Douglas production function, the effects of government public spending components, and quantitative easing, monetary policy and economics. The last three contributions focus on cryptocurrency and stock market predictability. All arguments are central ingredients in the current economic discussion and their importance has only been further emphasized by the COVID-19 crisis.
BASE
In: Science and public policy: journal of the Science Policy Foundation
ISSN: 1471-5430
In: Mathematical social sciences, Band 27, Heft 1, S. 115
SSRN
Working paper
In: Annual Review of Resource Economics, Band 8, Heft 1, S. 43-75
SSRN
In: International journal of forecasting, Band 5, Heft 4, S. 612-614
ISSN: 0169-2070
In: International journal of forecasting, Band 12, Heft 2, S. 306-308
ISSN: 0169-2070
In: The Canadian Journal of Economics, Band 20, Heft 1, S. 201