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Estimation and inference in econometrics
, 1994 Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout
R. Davidson, J. MacKinnon
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Econometrics, 2020 Building on arguments by Joshua Angrist and Jörn-Steffen Pischke arguments for how the teaching of undergraduate econometrics could become more effective, I propose a redesign of graduate econometrics that would better serve most students and help make ...
Jeremy Arkes
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Econometric Theory, 2004 This paper considers the problems facing decision makers using econometric models in real time. It identifies the key stages involved and highlights the role of automated systems in reducing the effect of data snooping. It sets out many choices that researchers face in construction of automated systems and discusses some of the possible ways advanced ...
Pesaran, M.H., Timmermann, A.
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A Review of Software for Spatial Econometrics in R
, 2021 The software for spatial econometrics available in the R system for statistical computing is reviewed. The methods are illustrated in a historical perspective, highlighting the main lines of development and employing historically relevant datasets in the
R. Bivand, G. Millo, G. Piras
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Quality Characteristics of Mobile Learning Applications [PDF]
Informatică economică, 2019 Software quality evaluation for mobile application is a subject with major implications onto educational evaluating process. The place where teacher and his educable person build a temporary social relation is connected to an environment where success is
Dinu MIHAIL-VADUVA
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Bias in Estimating Multivariate and Univariate Diffusions [PDF]
, 2010 Published in Journal of Econometrics, 2011, https://doi.org/10.1016/j.jeconom.2010.12 ...
Aït-Sahalia +38 more
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The Status of Bridge Principles in Applied Econometrics
Econometrics, 2016 The paper begins with a figurative representation of the contrast between present-day and formal applied econometrics. An explication of the status of bridge principles in applied econometrics follows.
Bernt P. Stigum
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Scalable Econometrics on Big Data -- The Logistic Regression on Spark [PDF]
arXiv, 2021 Extra-large datasets are becoming increasingly accessible, and computing tools designed to handle huge amount of data efficiently are democratizing rapidly. However, conventional statistical and econometric tools are still lacking fluency when dealing with such large datasets. This paper dives into econometrics on big datasets, specifically focusing on
arxiv
Empirica, 1987 AbstractThe methods, approaches, and principles are applied to modelling the transactions demand for money in the UK over 1963–89. Financial innovations affect the opportunity cost of holding money, captured in a learning‐adjusted interest‐rate differential. The data are described by graphs to highlight the main features requiring modelling.
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Desarrollo y Sociedad, 2022 Forests provide ecosystem services (ES) that confer comparative advantages to the land market. The aim of research was to value forests that support ES in agricultural systems located in the Colombian Amazon piedmont. The hedonic price method was used to
Yelly Yamparli Pardo Rozo +2 more
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