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Everything about Simultaneous equations model
Type of statistical model
Simultaneous equations models are a type of statistical model in which the dependent variables are functions of other dependent variables, rather than just independent variables. This means some of the explanatory variables are jointly determined with the dependent variable, which in economics usually is the consequence of some underlying equilibrium mechanism. Take the typical supply and demand model: whilst typically one would determine the quantity supplied and demanded to be a function of the price set by the market, it is also possible for the reverse to be true, where producers observe the quantity that consumers demand and then set the price. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Simultaneous equations modelA 5-minute orientation
- Skim a recent paper: Economic growth, human capital, and energy consumption in Algeria: evidence from cointegrating polynomial regression and a simultaneous equations modelInfluential work since 2022
- Pick up a classic book: Simultaneous Systems of Differential Equations and Multi-Dimensional VibrationsThe most-reprinted book on the subject
- Read the landmark paper: Bayesian Limited Information Analysis of the Simultaneous Equations ModelCited 77 times
- Go sideways: Seemingly unrelated regressionsA closely related topic
- Go sideways: Instrumental variablesA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Bayesian Limited Information Analysis of the Simultaneous Equations Model
Cointegration and Dynamic Simultaneous Equations Model
A Simultaneous Equations Linear Probability Model
A Simultaneous-Equations Model of Urban Growth and Migration
The simultaneous-equations model revisited
A simultaneous equations model of the educational process
A simultaneous equations model of zoning and land values
Innovation, market structure and firm size: A simultaneous equations model
🆕 Influential since 2022
Economic growth, human capital, and energy consumption in Algeria: evidence from cointegrating polynomial regression and a simultaneous equations model
SIMULTANEOUS EQUATIONS MODELS WITH HIGHER-ORDER SPATIAL OR SOCIAL NETWORK INTERACTIONS
Supply and Demand Model for a Chili Enterprise System Using a Simultaneous Equations System
Trade-growth nexus: A study of G20 countries using simultaneous equations model with dynamic policy simulations
Note on the Uniqueness of the Maximum Likelihood Estimator for a Heckman’s Simultaneous Equations Model
📚 Books worth reading
- 📕Simultaneous Systems of Differential Equations and Multi-Dimensional VibrationsLuis Manuel Braga da Costa Campos · 2019
- 📕Simultane Probit- und TobitmodelleWinfried Pohlmeier · 1989
Simultaneous equation models with measurement errorVincent J. Geraci · 1982
Errors in variables in simultaneous equation modelsJerry A. Hausman · 1974
A correspondence principle for simultaneous equation modelsFranklin M. Fisher · 1967- 📕MCMC method for Markov mixture simultaneous-equation modelsChristopher A. Sims · 2004
Posterior and predictive densities for simultaneous equation modelsJean François Richard · 1973
The single vs. simultaneous equation model in capital asset pricingCheng F. Lee · 1978
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Seemingly unrelated regressions In econometrics, the seemingly unrelated regressions (SUR) or seemingly unrelated regression equations (SURE) model, proposed by Arnold Zellner in (1962)…
- Instrumental variables In statistics, econometrics, epidemiology and related disciplines, the quasi-experimental method of instrumental variables (IV) is used to estimate causal…
- Reduced form In statistics, and particularly in econometrics, the reduced form of a system of equations is the result of solving the system for the endogenous variables…
- Gauss–Markov theorem In statistics, the Gauss–Markov theorem (or simply Gauss theorem for some authors) states that, under certain conditions, the ordinary least squares (OLS)…
- Ordinary least squares In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model by…
- Endogeneity (econometrics) In econometrics, endogeneity broadly refers to situations in which an explanatory variable is correlated with the error term. In simplest terms, endogeneity…
- Control function (econometrics) Control functions (also known as two-stage residual inclusion) are statistical methods to correct for endogeneity problems by modelling the endogeneity…
- Vector autoregression Vector autoregression (VAR) is a statistical model used to capture the relationship between multiple quantities as they change over time. VAR is a type…