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The Identification Zoo: Meanings of Identification in Econometrics
Journal of Economic Literature, 2019Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal identification, local identification, generic identification, weak identification, identification at infinity, and many more ...
Arthur Lewbel
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Journal of the American Statistical Association, 1980
Peter E. Kennedy
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Peter E. Kennedy
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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
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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
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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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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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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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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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Machine Learning and Big Data with kdb+/q, 2019
Course Descriptions This is an introductory course on time series econometrics for first-year or second-year Ph.D. students in economics. Through lectures, problem sets and readings, you will learn econometric methods for estimating structural vector ...
John D. Levendis
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Course Descriptions This is an introductory course on time series econometrics for first-year or second-year Ph.D. students in economics. Through lectures, problem sets and readings, you will learn econometric methods for estimating structural vector ...
John D. Levendis
semanticscholar +1 more source
2014
This entry highlights different methods that have been proposed to overcome the endogeneity issue and, more generally, different econometric strategies that have been proposed to identify the causal effect of deterrence on crime.
Mastrobuoni, Giovanni, PINOTTI, PAOLO
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This entry highlights different methods that have been proposed to overcome the endogeneity issue and, more generally, different econometric strategies that have been proposed to identify the causal effect of deterrence on crime.
Mastrobuoni, Giovanni, PINOTTI, PAOLO
openaire +4 more sources