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Econometrics and econometric modeling
2021The textbook covers a wide range of issues related to econometric modeling. Regression models are the core of econometric modeling, so the issues of their evaluation, testing of assumptions, adjustment and verification are given a significant place. Various aspects of multiple regression models are included: multicollinearity, dummy variables, and lag ...
Irina Orlova +2 more
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The Econometrics of Search [PDF]
Environment and Planning A: Economy and Space, 1985 Many urban activity and location decisions can be viewed as the outcomes of sequential search processes. In this paper are addressed the special econometric aspects associated with the analysis of observations on such processes. Four distinct informational situations of particular relevance to search phenomena are identified, each one corresponding to ...
S R Lerman, H S Mahmassani
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Econometrica, 1985
The widespread use of prior information in formulating, estimating, and using econometric models is reviewed. Attempts to avoid the use of prior information by formulating multivariate statistical VAR and ARMA time series models for economic time series data have resulted in heavily over-parametrized models.
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The widespread use of prior information in formulating, estimating, and using econometric models is reviewed. Attempts to avoid the use of prior information by formulating multivariate statistical VAR and ARMA time series models for economic time series data have resulted in heavily over-parametrized models.
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De Economist, 1999
Econometric theory has achieved much. Still, there is a feeling in the profession that we are not providing the applied economist with the tools that he needs. In this paper I attempt to highlight the things that have occurred to me as being wrong or strange. The link between the items I discuss is the necessity of a focus.
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Econometric theory has achieved much. Still, there is a feeling in the profession that we are not providing the applied economist with the tools that he needs. In this paper I attempt to highlight the things that have occurred to me as being wrong or strange. The link between the items I discuss is the necessity of a focus.
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Synthese, 1969
Why should the tools of inductive inference differ from one empirical discipline to another? In a deeper sense, the tools do not differ. Econometrics shares its logical foundations with psychometrics and biometrics and, for that matter, with meteorology and even with experimental physics.
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Why should the tools of inductive inference differ from one empirical discipline to another? In a deeper sense, the tools do not differ. Econometrics shares its logical foundations with psychometrics and biometrics and, for that matter, with meteorology and even with experimental physics.
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1998
What is econometrics? A few definitions are given below: The method of econometric research aims, essentially, at a conjunction of economic theory and actual measurements, using the theory and technique of statistical inference as a bridge pier. Trygve Haavelmo (1944) Econometrics may be defined as the quantitative analysis of actual economic phenomena
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What is econometrics? A few definitions are given below: The method of econometric research aims, essentially, at a conjunction of economic theory and actual measurements, using the theory and technique of statistical inference as a bridge pier. Trygve Haavelmo (1944) Econometrics may be defined as the quantitative analysis of actual economic phenomena
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, 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 contemporaneous patterns in growth data and second, drawing inferences on long-run economic outcomes from
Durlauf, Steven N. +2 more
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Computational econometrics with gretl
Computational Statistics[No abstract available]
Yalta,A.T., Rodrigues,P.C., Cottrell,A.
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