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Everything about Econometric model
Statistical models used in econometrics
Econometric models are statistical models used in econometrics. An econometric model specifies the statistical relationship that is believed to hold between the various economic quantities pertaining to a particular economic phenomenon. An econometric model can be derived from a deterministic economic model by allowing for uncertainty, or from an economic model which itself is stochastic. However, it is also possible to use econometric models that are not tied to any specific economic theory. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Econometric modelA 5-minute orientation
- Skim a recent paper: Sustainalism: An Integrated Socio-Economic-Environmental Model to Address Sustainable Development and SustainabilityInfluential work since 2022
- Pick up a classic book: Econometric analysisThe most-reprinted book on the subject
- Read the landmark paper: Investigating Causal Relations by Econometric Models and Cross-spectral MethodsCited 17,634 times
- Go sideways: Endogeneity (econometrics)A closely related topic
- Go sideways: Methodology of econometricsA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Investigating Causal Relations by Econometric Models and Cross-spectral Methods
Proper Econometric Specification of the Gravity Model
Econometric Model Determination
The Gravity Model: Some Econometric Considerations
AN ECONOMETRIC MODEL OF INTRAURBAN LOCATION*
CHALLENGES FOR ECONOMETRIC MODEL SELECTION
Econometric model-building at regional level
An Econometric Model of Tourist Demand
🆕 Influential since 2022
Sustainalism: An Integrated Socio-Economic-Environmental Model to Address Sustainable Development and Sustainability
Energy storage technologies: An integrated survey of developments, global economical/environmental effects, optimal scheduling model, and sustainable adaption policies
Short-term hydropower optimization driven by innovative time-adapting econometric model
A spatial econometric multivariate model of Okun's law
An Econometric Model of International Growth Dynamics for Long-Horizon Forecasting
📚 Books worth reading
Econometric analysisGreene, William H. · 1990
Introduction to Computable General Equilibrium ModelsMary E. Burfisher · 2011
Basic econometricsDamodar N. Gujarati · 1978- 📕Financial EconometricsPeijie Wang · 2002
Econometric methodsJohnston, J. · 1963
Applied choice analysisDavid A. Hensher, John M. Rose · 2005
The economics of entrepreneurshipSimon C. Parker · 2005
Introductory Econometrics for FinanceChris Brooks · 2008
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Endogeneity (econometrics) In econometrics, endogeneity broadly refers to situations in which an explanatory variable is correlated with the error term. In simplest terms, endogeneity…
- Methodology of econometrics The methodology of econometrics is the study of the range of differing approaches to undertaking econometric analysis. The econometric approaches can be…
- Parameter identification problem In economics and econometrics, the parameter identification problem arises when the value of one or more parameters in an economic model cannot be determined…
- Structural estimation In econometrics, structural estimation is a technique for estimating deep "structural" parameters of theoretical economic models. The term is inherited…
- Econometrics Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships. More precisely, it…
- Regression analysis In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome…
- Simultaneous equations model Simultaneous equations models are a type of statistical model in which the dependent variables are functions of other dependent variables, rather than…
- Bayesian vector autoregression In statistics and econometrics, Bayesian vector autoregression (BVAR) uses Bayesian methods to estimate a vector autoregression (VAR) model. BVAR differs…