• explanatory variable on the dependent variable. Instrumental variable methods allow for consistent estimation when the explanatory variables (covariates)...
    39 KB (6,032 words) - 00:17, 24 March 2025
  • instruments, but uses generalized method of moments estimation rather than instrumental variables estimation. In the Arellano–Bond method, first difference...
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  • Thumbnail for Philip Green Wright
    American economist who in 1928 first proposed the use of instrumental variables estimation as the earliest known solution to the identification problem...
    23 KB (2,587 words) - 16:06, 4 April 2025
  • Thumbnail for Consistent estimator
    estimators Regression dilution Statistical hypothesis testing Instrumental variables estimation Amemiya 1985, Definition 3.4.2. Lehman & Casella 1998, p. 332...
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  • Thumbnail for Mendelian randomization
    than RCTs Mendelian randomization (MR) is fundamentally an instrumental variables estimation method hailing from econometrics. The method uses the properties...
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  • transformation Feature extraction Feature learning Hashing trick Instrumental variables estimation Kernel method List of datasets for machine learning research...
    20 KB (2,183 words) - 19:57, 16 April 2025
  • Thumbnail for Errors-in-variables model
    errors-in-variables model or a measurement error model is a regression model that accounts for measurement errors in the independent variables. In contrast...
    37 KB (5,731 words) - 23:19, 1 April 2025
  • semi-parametric and non-parametric estimation, specification testing, non-parametric instrumental variables, estimation of high-dimensional models, and functional...
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  • (dependent variable) and one or more explanatory variables (regressor or independent variable). A model with exactly one explanatory variable is a simple...
    75 KB (10,427 words) - 11:32, 30 April 2025
  • 44.12.1650. Hansen, C.; McDonald, J.; Newey, W. (2010). "Instrumental Variables Estimation with Flexible Distributions". Journal of Business and Economic...
    18 KB (3,598 words) - 20:38, 4 January 2024
  • "Problems with Instrumental Variables Estimation when the Correlation between the Instrument and the Endogenous Explanatory Variable Is Weak". Journal...
    4 KB (269 words) - 11:52, 1 May 2025
  • econometrics and statistics, including treatment effect models, instrumental variable estimation, matching estimators, difference in differences, and synthetic...
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  • Thumbnail for Synthetic control method
    prices. Difference in difference Regression discontinuity Instrumental variables estimation Abadie, Alberto; Diamond, Alexis; Hainmueller, Jens (February...
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  • Thumbnail for Joshua Angrist
    on controls for confounding variables, fixed effects models and difference-in-differences, instrumental variables estimation and regression discontinuity...
    52 KB (5,284 words) - 14:01, 21 April 2025
  • account for the same econometric problem. Instrumental variables, for example, attempt to model the endogenous variable X as an often invertible model with...
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  • of observable variables, one would expect there to be continuity in predetermined variables at the treatment cutoff. Since these variables were determined...
    23 KB (2,962 words) - 03:49, 4 December 2024
  • determining selection are fixed over time (time invariant). Instrumental variables estimation accounts for selection bias by modelling participation using...
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  • College, Cambridge. He made many contributions, notably in instrumental variables estimation, Edgeworth expansions for the distributions of econometric...
    5 KB (480 words) - 22:25, 11 August 2023
  • Thumbnail for Lars Peter Hansen
    1997). Moreover, maximum likelihood estimation methods provide guidance for devising more efficient instrumental variables estimators that take into account...
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  • (observable "explanatory" or "exogenous" variables, sometimes designated as x) and outputs (observable "endogenous" variables, y). Nonstructural methods have a...
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  • Average treatment effect (category Estimation theory)
    Regression discontinuity designs Propensity score matching Instrumental variables estimation Consider an example where all units are unemployed individuals...
    13 KB (1,890 words) - 03:36, 22 December 2024
  • endogenous variables). Durbin–Wu–Hausman test Sargan, J. D. (1958). "The Estimation of Economic Relationships Using Instrumental Variables". Econometrica...
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  • Thumbnail for Statistics
    use a modified, more structured estimation method (e.g., difference in differences estimation and instrumental variables, among many others) that produce...
    78 KB (8,803 words) - 00:36, 25 April 2025
  • model, the use of moment conditions for estimation, instrumental variables (IV) and maximum likelihood estimation. With that in mind, the organization of...
    22 KB (2,282 words) - 23:10, 6 February 2025
  • Endogeneity (econometrics) (category Estimation theory)
    separates variables whose values are determined by the model from variables which are predetermined. Ignoring simultaneity in the estimation leads to biased...
    10 KB (1,435 words) - 22:03, 30 May 2024
  • Thumbnail for Ordinary least squares
    explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values...
    65 KB (9,135 words) - 15:20, 12 March 2025
  • 1017/S0266466600005284. S2CID 119782828. — (1990). "Efficient Instrumental Variables Estimation of Nonlinear Models". Econometrica. 58 (4): 809–837. doi:10...
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  • about the relationship between one or more dependent variables (Y) and one or more independent variables (X). Regression analysis Linear regression Least...
    5 KB (327 words) - 12:15, 30 October 2023
  • Peter; Singleton, Kenneth J. (September 1982). "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models". Econometrica....
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  • variables. A chief motivating concern in the use of sensitivity analysis is the pursuit of discovering confounding variables. Confounding variables are...
    38 KB (4,407 words) - 13:24, 16 March 2025