Category: Econometric modeling

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. This gives the latter as functions of the e
Constant elasticity of substitution
Constant elasticity of substitution (CES), in economics, is a property of some production functions and utility functions. Several economists have featured in the topic and have contributed in the fin
Hedonic index
A hedonic index is any price index which uses information from hedonic regression, which describes how product price could be explained by the product's characteristics. Hedonic price indexes have pro
Discrete-time proportional hazards
Hazard rate models are widely used to model duration data in a wide rangeof disciplines, from bio-statistics to economics. Grouped duration data are widespread in many applications. Unemployment durat
Optimal instruments
In statistics and econometrics, optimal instruments are a technique for improving the efficiency of estimators in conditional moment models, a class of semiparametric models that generate conditional
Set identification
In statistics and econometrics, set identification (or partial identification) extends the concept of identifiability (or "point identification") in statistical models to situations where the distribu
Cliometrics
Cliometrics (/ˌklaɪ.oʊəˈmɛt.rɪks/, also /ˌkliːoʊˈmɛt.rɪks/), sometimes called new economic history or econometric history, is the systematic application of economic theory, econometric techniques, and
Anthropometric history
Anthropometric history is the study of the history of human height and weight. The concept was formulated in 1989 although it has historical roots. In the 1830s, Adolphe Quetelet and Louis R. Villermé
Sargan–Hansen test
The Sargan–Hansen test or Sargan's test is a statistical test used for testing in a statistical model. It was proposed by John Denis Sargan in 1958, and several variants were derived by him in 1975. L
Latent and observable variables
In statistics, latent variables (from Latin: present participle of lateo, “lie hidden”) are variables that can only be inferred indirectly through a mathematical model from other observable variables
Ridit scoring
In statistics, ridit scoring is a statistical method used to analyze ordered qualitative measurements.The tools of ridit analysis were developed and first applied by Bross, who coined the term "ridit"
Local independence
Within statistics, Local independence is the underlying assumption of latent variable models.The observed items are conditionally independent of each other given an individual score on the latent vari
Heckman correction
The Heckman correction is a statistical technique to correct bias from non-randomly selected samples or otherwise incidentally truncated dependent variables, a pervasive issue in quantitative social s
Chamberlain's approach to unobserved effects models
In linear panel analysis, it can be desirable to estimate the magnitude of the fixed effects, as they provide measures of the unobserved components. For instance, in wage equation regressions, Fixed E
Bayesian econometrics
Bayesian econometrics is a branch of econometrics which applies Bayesian principles to economic modelling. Bayesianism is based on a degree-of-belief interpretation of probability, as opposed to a rel
Cliodynamics
Cliodynamics (/ˌkliːoʊdaɪˈnæmɪks/) is a transdisciplinary area of research that integrates cultural evolution, economic history/cliometrics, macrosociology, the mathematical modeling of historical pro
Regression discontinuity design
In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest-posttest design that aims to determine th
Structural break
In econometrics and statistics, a structural break is an unexpected change over time in the parameters of regression models, which can lead to huge forecasting errors and unreliability of the model in
Synthetic control method
The synthetic control method is a statistical method used to evaluate the effect of an intervention in . It involves the construction of a weighted combination of groups used as controls, to which the
Divisia monetary aggregates index
In econometrics and official statistics, and particularly in banking, the Divisia monetary aggregates index is an index of money supply. It uses Divisia index methods.
Independence of irrelevant alternatives
The independence of irrelevant alternatives (IIA), also known as binary independence or the independence axiom, is an axiom of decision theory and various social sciences. The term is used in differen
Mixed-data sampling
Econometric models involving data sampled at different frequencies are of general interest. Mixed-data sampling (MIDAS) is an econometric regression developed by Eric Ghysels with several co-authors.
Observational equivalence
Observational equivalence is the property of two or more underlying entities being indistinguishable on the basis of their observable implications. Thus, for example, two scientific theories are obser
Durbin–Wu–Hausman test
The Durbin–Wu–Hausman test (also called Hausman specification test) is a statistical hypothesis test in econometrics named after James Durbin, , and Jerry A. Hausman. The test evaluates the consistenc
Microsimulation
Microsimulation (from microanalytic simulation or microscopic simulation) is a category of computerized analytical tools that perform highly detailed analysis of activities such as highway traffic flo
Spatial econometrics
Spatial econometrics is the field where spatial analysis and econometrics intersect. The term “spatial econometrics” was introduced for the first time by the Belgian economist Jean Paelinck (universal
Choice modelling
Choice modelling attempts to model the decision process of an individual or segment via revealed preferences or stated preferences made in a particular context or contexts. Typically, it attempts to u
Commonality analysis
Commonality analysis is a statistical technique within multiple linear regression that decomposes a model's R2 statistic (i.e., explained variance) by all independent variables on a dependent variable
Difference in differences
Difference in differences (DID or DD) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using obse
Experimentalist approach to econometrics
The experimentalist approach to econometrics is a way of doing econometrics that, according to Angrist and Krueger (1999): … puts front and center the problem of identifying causal effects from specif