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Instrumental variables estimation

Index Instrumental variables estimation

In statistics, econometrics, epidemiology and related disciplines, the method of instrumental variables (IV) is used to estimate causal relationships when controlled experiments are not feasible or when a treatment is not successfully delivered to every unit in a randomized experiment. [1]

54 relations: Alan Krueger, Analysis of variance, Average treatment effect, Bayesian network, Bias (statistics), Bias of an estimator, Cambridge University Press, Causal graph, Causal inference, Coefficient of determination, Consistent estimator, Correlation and dependence, Daniel McFadden, David A. Jaeger, Dependent and independent variables, Econometrica, Econometrics, Endogeneity (econometrics), Epidemiology, Errors and residuals, Errors-in-variables models, F-test, Fixed effects model, Frisch–Waugh–Lovell theorem, Generalized method of moments, Grading in education, Homoscedasticity, Idempotence, Identifiability, International Statistical Institute, James Heckman, Joshua Angrist, Journal of Clinical Epidemiology, Journal of Economic Perspectives, Journal of Personality and Social Psychology, Journal of the American Statistical Association, Judea Pearl, Least squares, Mark Thoma, Null hypothesis, Olav Reiersøl, Omitted-variable bias, Ordinary least squares, Parameter identification problem, Projection (linear algebra), Random effects model, Regression analysis, Sargan–Hansen test, Scientific control, Sewall Wright, ..., Statistics, System of equations, The Journal of Human Resources, Variance. Expand index (4 more) »

Alan Krueger

Alan Bennett Krueger (born September 17, 1960) is an American economist who is the Bendheim Professor of Economics and Public Affairs at Princeton University and Research Associate at the National Bureau of Economic Research.

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Analysis of variance

Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among group means in a sample.

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Average treatment effect

The average treatment effect (ATE) is a measure used to compare treatments (or interventions) in randomized experiments, evaluation of policy interventions, and medical trials.

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Bayesian network

A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).

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Bias (statistics)

Statistical bias is a feature of a statistical technique or of its results whereby the expected value of the results differs from the true underlying quantitative parameter being estimated.

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Bias of an estimator

In statistics, the bias (or bias function) of an estimator is the difference between this estimator's expected value and the true value of the parameter being estimated.

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Cambridge University Press

Cambridge University Press (CUP) is the publishing business of the University of Cambridge.

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Causal graph

In statistics, econometrics, epidemiology, genetics and related disciplines, causal graphs (also known as path diagrams, causal Bayesian networks or DAGs) are graphical models used to encode assumptions about the data-generating process.

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Causal inference

Causal inference is the process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

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Coefficient of determination

In statistics, the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variance in the dependent variable that is predictable from the independent variable(s).

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Consistent estimator

In statistics, a consistent estimator or asymptotically consistent estimator is an estimator—a rule for computing estimates of a parameter θ0—having the property that as the number of data points used increases indefinitely, the resulting sequence of estimates converges in probability to θ0.

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Correlation and dependence

In statistics, dependence or association is any statistical relationship, whether causal or not, between two random variables or bivariate data.

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Daniel McFadden

Daniel Little McFadden (born July 29, 1937) is an American econometrician who shared the 2000 Nobel Memorial Prize in Economic Sciences with James Heckman.

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David A. Jaeger

David A. Jaeger is Professor in the Ph.D. Program in Economics at the CUNY Graduate Center, a Research Fellow at IZA Institute of Labor Economics, and a Research Associate in the National Bureau of Economic Research.

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Dependent and independent variables

In mathematical modeling, statistical modeling and experimental sciences, the values of dependent variables depend on the values of independent variables.

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Econometrica

Econometrica is a peer-reviewed academic journal of economics, publishing articles in many areas of economics, especially econometrics.

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Econometrics

Econometrics is the application of statistical methods to economic data and is described as the branch of economics that aims to give empirical content to economic relations.

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Endogeneity (econometrics)

In econometrics, endogeneity broadly refers to situations in which an explanatory variable is correlated with the error term.

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Epidemiology

Epidemiology is the study and analysis of the distribution (who, when, and where) and determinants of health and disease conditions in defined populations.

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Errors and residuals

In statistics and optimization, errors and residuals are two closely related and easily confused measures of the deviation of an observed value of an element of a statistical sample from its "theoretical value".

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Errors-in-variables models

In statistics, errors-in-variables models or measurement error models are regression models that account for measurement errors in the independent variables.

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F-test

An F-test is any statistical test in which the test statistic has an ''F''-distribution under the null hypothesis.

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Fixed effects model

In statistics, a fixed effects model is a statistical model in which the model parameters are fixed or non-random quantities.

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Frisch–Waugh–Lovell theorem

In econometrics, the Frisch–Waugh–Lovell (FWL) theorem is named after the econometricians Ragnar Frisch, Frederick V. Waugh, and Michael C. Lovell.

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Generalized method of moments

In econometrics and statistics, the generalized method of moments (GMM) is a generic method for estimating parameters in statistical models.

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Grading in education

Grading in education is the process of applying standardized measurements of varying levels of achievement in a course.

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Homoscedasticity

In statistics, a sequence or a vector of random variables is homoscedastic if all random variables in the sequence or vector have the same finite variance.

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Idempotence

Idempotence is the property of certain operations in mathematics and computer science that they can be applied multiple times without changing the result beyond the initial application.

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Identifiability

In statistics, identifiability is a property which a model must satisfy in order for precise inference to be possible.

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International Statistical Institute

The International Statistical Institute (ISI) is a professional association of statisticians.

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James Heckman

James Joseph Heckman (born April 19, 1944) is an American economist who is currently at the University of Chicago, where he is The Henry Schultz Distinguished Service Professor in Economics and the College; Harris Graduate School of Public Policy Studies; Director of the.

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Joshua Angrist

Joshua David Angrist (born September 18, 1960) is an Israeli American economist.

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Journal of Clinical Epidemiology

The Journal of Clinical Epidemiology is a peer reviewed journal of Epidemiology that promotes the quality of clinical and patient-oriented health services research through the advancement and application of innovative methods of.

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Journal of Economic Perspectives

The Journal of Economic Perspectives (JEP) is an economic journal published by the American Economic Association.

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Journal of Personality and Social Psychology

The Journal of Personality and Social Psychology is a monthly peer-reviewed scientific journal published by the American Psychological Association that was established in 1965.

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Journal of the American Statistical Association

The Journal of the American Statistical Association (JASA) is the primary journal published by the American Statistical Association, the main professional body for statisticians in the United States.

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Judea Pearl

Judea Pearl (born September 4, 1936) is an Israeli-American computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks (see the article on belief propagation).

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Least squares

The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns.

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Mark Thoma

Mark Allen Thoma (born December 15, 1956) is a macroeconomist and econometrician and a Professor of Economics at the Department of Economics of the University of Oregon.

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Null hypothesis

In inferential statistics, the term "null hypothesis" is a general statement or default position that there is no relationship between two measured phenomena, or no association among groups.

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Olav Reiersøl

Olav Reiersøl (28 June 1908 – 14 February 2001) was a Norwegian statistician and econometrician, who made several substantial contributions to econometrics and statistics.

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Omitted-variable bias

In statistics, omitted-variable bias (OVB) occurs when a statistical model incorrectly leaves out one or more relevant variables.

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Ordinary least squares

In statistics, ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression model.

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Parameter identification problem

In statistics and econometrics, the parameter identification problem is the inability in principle to identify a best estimate of the value(s) of one or more parameters in a regression.

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Projection (linear algebra)

In linear algebra and functional analysis, a projection is a linear transformation P from a vector space to itself such that.

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Random effects model

In statistics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables.

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Regression analysis

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships among variables.

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Sargan–Hansen test

The Sargan–Hansen test or Sargan's J test is a statistical test used for testing over-identifying restrictions in a statistical model.

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Scientific control

A scientific control is an experiment or observation designed to minimize the effects of variables other than the independent variable.

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Sewall Wright

Sewall Green Wright (December 21, 1889March 3, 1988) was an American geneticist known for his influential work on evolutionary theory and also for his work on path analysis.

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Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

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System of equations

In mathematics, a set of simultaneous equations, also known as a system of equations or an equation system, is a finite set of equations for which common solutions are sought.

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The Journal of Human Resources

The Journal of Human Resources is a quarterly peer-reviewed academic journal covering empirical microeconomics.

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Variance

In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean.

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2SLS, IV regression, Instrumental Variable, Instrumental Variable Estimation, Instrumental variable, Instrumental variable estimation, Instrumental variables, Instruments (regressors), Philip Green Wright, Random and fixed effects instrumental variables methods, Two stage least squares, Two-stage least squares, Two-stage least-squares, Weak instruments.

References

[1] https://en.wikipedia.org/wiki/Instrumental_variables_estimation

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