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Applied Econometrics [PDF]

open access: yes, 2019
Although the theme of the monograph is primarily related to “Applied Econometrics”, there are several theoretical contributions that are associated with empirical examples, or directions in which the novel theoretical ideas might be applied. The monograph is associated with significant and novel contributions in theoretical and applied econometrics ...
Chung-ki Min
semanticscholar   +4 more sources

ECONOMETRICS AND REALITY [PDF]

open access: yes, 2002
Starting with a realist ontology the economic methodologist, Tony Lawson, argues that econometrics is a failed project. Apparently more sympathetic to econometrics, the philosopher of science, Nancy Cartwright, again from a realist perspective ...
Kevin Hoover
core   +5 more sources

Robust Econometrics [PDF]

open access: yes, 2006
Econometrics often deals with data under, from the statistical point of view, non-standard conditions such as heteroscedasticity or measurement errors and the estimation methods need thus be either adopted to such conditions or be at least insensitive to
Pavel Cizek, Wolfgang Härdle
core   +4 more sources

Econometrics in R: Past, Present, and Future [PDF]

open access: yesJournal of Statistical Software, 2008
Recently, computational methods and software have been receiving more attention in the econometrics literature, emphasizing that they are integral components of modern econometric research.
Achim Zeileis, Roger Koenker
doaj   +1 more source

Growth Econometrics [PDF]

open access: yes, 2004
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, Steven N   +2 more
core   +2 more sources

Bayesian Econometrics [PDF]

open access: yesJournal of Risk and Financial Management, 2020
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,
Bernardi Mauro   +2 more
openaire   +5 more sources

‘Emerging contrary result’ phenomenon and scientific realism [PDF]

open access: yesPanoeconomicus, 2021
The article is aimed at reconsidering the question if the project of econometrics can be read in line with scientific realism. Previously, the methodological literature focused on the philosophy of econometrics, voices criticizing realist interpretations
Maziarz Mariusz
doaj   +1 more source

Reform and Practice of Hybrid Teaching Mode in Econometrics Course Based on OBE+SPOC [PDF]

open access: yesSHS Web of Conferences, 2023
This paper presents a study of the hybrid teaching mode for the Econometrics course based on Outcomes Based Education (OBE) and Small Private Online Courses (SPOC). Firstly, the paper by analyzed the issues present in Econometrics teaching. It focuses on
Wu Yan
doaj   +1 more source

Acknowledgment to the Reviewers of Econometrics in 2022

open access: yesEconometrics, 2023
High-quality academic publishing is built on rigorous peer review [...]
Econometrics Editorial Office
doaj   +1 more source

Analysis of econometric research hotspots and application prospects —— visualization research based on citespace [PDF]

open access: yesE3S Web of Conferences, 2021
By analyzing scholars’ research on econometrics, we can understand the hot topics of related research and, based on the changes of research hotspots in different years, we can derive the future application prospects. In this paper, the literature related
Sun Xiaolin, Zhao Menghe
doaj   +1 more source

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