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1. Full Text Instrumental Variables Estimation in Political Science: A Readers' Guide
by Allison J. Sovey and Donald P. Green
American journal of political science, ISSN 0092-5853, 1/2011, Volume 55, Issue 1, pp. 188 - 200
Natural experiments | AJPS WORKSHOP | Control groups | Rain | Political science | Encouragement | Instrumental variables | Instrumental variables estimation | Research design | Political campaigns | Estimators | Government & Law | Social Sciences | Political Science | Regression analysis | Estimating techniques | Journals
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2. Full Text APPLIED NONPARAMETRIC INSTRUMENTAL VARIABLES ESTIMATION
by Joel L. Horowitz
Econometrica, ISSN 0012-9682, 3/2011, Volume 79, Issue 2, pp. 347 - 394
Approximation | Eigenvalues | Instrumental variables estimation | Mathematical functions | Instrumental variables | Nonparametric models | Parametric models | Estimators | Consistent estimators | Estimation methods | linear operator | endogenous variable | Nonparametric estimation | eigenvalues | instrumental variable | ill‐posed inverse problem | Instrumental variable | Endogenous variable | Linear operator | Ill-posed inverse problem | Economics | Mathematics, Interdisciplinary Applications | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Numerical analysis. Scientific computation | Numerical analysis | Applications | Insurance, economics, finance | Numerical linear algebra | Exact sciences and technology | Nonparametric inference | Probability and statistics | Statistics | Nonlinear algebraic and transcendental equations | Sciences and techniques of general use | Studies | Parameter estimation | Estimating techniques | Statistical inference | Econometrics
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3. Full Text Instrumental Variable Estimation in a Survival Context
by Eric J. Tchetgen Tchetgen and Stefan Walter and Stijn Vansteelandt and Torben Martinussen and Maria Glymour
Epidemiology (Cambridge, Mass.), ISSN 1044-3983, 5/2015, Volume 26, Issue 3, pp. 402 - 410
Methods | Life Sciences & Biomedicine | Public, Environmental & Occupational Health | Science & Technology | Confounding Factors (Epidemiology) | Humans | Mendelian Randomization Analysis | Proportional Hazards Models | Survival Analysis | Linear Models | Models, Statistical | Causality | Diabetes Mellitus - mortality | Index Medicus | Instrumental variable | Control function | Unobserved confounding | Two stage regression | Cox proportional hazards model | Aalen additive hazards model
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4. Full Text INTERSECTION BOUNDS: ESTIMATION AND INFERENCE
by Victor Chernozhukov and Sokbae Lee and Adam M. Rosen
Econometrica, ISSN 0012-9682, 3/2013, Volume 81, Issue 2, pp. 667 - 737
Series convergence | Economic models | Approximation | Critical values | Inference | Mathematical independent variables | Interval estimators | Estimators | Probabilities | Estimation methods | adaptive moment selection | conditional moments | anti‐concentration inequalities | strong approximation | linear programming | concentration inequalities | non‐Donsker empirical process methods | partial identification | moderate deviations | Bound analysis | infinite‐dimensional constraints | Infinite-dimensional constraints | Strong approximation | Partial identification | Non-Donsker empirical process methods | Conditional moments | Linear programming | Moderate deviations | Adaptive moment selection | Anti-concentration inequalities | Concentration inequalities | Economics | Mathematics, Interdisciplinary Applications | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Studies | Estimation bias | Mathematical functions | Statistical inference | Econometrics
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5. Full Text Time-varying instrumental variable estimation
by Giraitis, Liudas and Kapetanios, George and Marcellino, Massimiliano
Journal of econometrics, ISSN 0304-4076, 2020
Hausman test | Instrumental variables | Time-varying parameters | Endogeneity | Phillips curve | Non-parametric methods
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6. Full Text Nonparametric Instrumental Variables Estimation
by Whitney K. Newey
The American economic review, ISSN 0002-8282, 5/2013, Volume 103, Issue 3, pp. 550 - 556
Economic models | Statistical variance | Inference | Nonlinearity | Instrumental variables estimation | Mathematical functions | Instrumental variables | Nonparametric models | Coefficients | Estimators | LESSONS FROM NONPARAMETRIC METHODS IN HISTORICAL PERSPECTIVE | Economics | Business & Economics | Social Sciences | Evaluation | Instrumental variables (Statistics) | Research | Nonparametric statistics | Methods | Estimation theory | Studies | Capital assets | Estimating techniques
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7. Full Text Nonparametric Instrumental-Variable Estimation
by Chetverikov, Denis and Kim, Dongwoo and Wilhelm, Daniel
The Stata journal, ISSN 1536-867X, 12/2018, Volume 18, Issue 4, pp. 937 - 950
St0547 | Nonparametric instrumental-variable estimation | Npivcv | Shape restrictions | Regression | Npiv | Endogeneity | Monotonicity | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Mathematics | Mathematical Methods In Social Sciences | Science & Technology
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8. Full Text Estimation With Many Instrumental Variables
by Hansen, Christian and Hausman, Jerry and Newey, Whitney
Journal of business & economic statistics, ISSN 0735-0015, 10/2008, Volume 26, Issue 4, pp. 398 - 422
Weak instruments | Inference | Many instruments | Standard errors | Statistical variance | Approximation | Instrumental variables estimation | Instrumental variables | Standard error | Estimators | Economic statistics | Consistent estimators | Confidence interval | Economics | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Usage | Instrumental variables (Statistics) | Research | Analysis | Estimation theory | Studies | Errors | Estimating techniques | Asymptotic methods
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9. Full Text Refined instrumental variable estimation: Maximum likelihood optimization of a unified Box–Jenkins model
by Young, Peter C
Automatica (Oxford), ISSN 0005-1098, 02/2015, Volume 52, pp. 35 - 46
Optimal instrumental variable | System identification | Maximum likelihood | Box–Jenkins model | En-bloc estimation | Recursive estimation | Box-Jenkins model | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology
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10. Full Text TWO-SAMPLE INSTRUMENTAL VARIABLES ESTIMATORS
by Atsushi Inoue and Gary Solon
The review of economics and statistics, ISSN 0034-6535, 8/2010, Volume 92, Issue 3, pp. 557 - 561
Maximum likelihood estimation | Analytical estimating | Least squares | Instrumental variables estimation | Instrumental variables | Standard error | Covariance matrices | Estimators | Consistent estimators | Estimation methods | Articles | Economics | Business & Economics | Social Sciences | Mathematical Methods In Social Sciences | Social Sciences, Mathematical Methods | Usage | Instrumental variables (Statistics) | Analysis | Estimation theory | Studies | Variables | Regression analysis | Comparative analysis | Econometrics | Asymptotic methods | Estimates
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11. Full Text Nonparametric instrumental variables estimation for efficiency frontier
by Cazals, Catherine and Fève, Frédérique and Florens, Jean-Pierre and Simar, Léopold
Journal of econometrics, ISSN 0304-4076, 02/2016, Volume 190, Issue 2, pp. 349 - 359
Endogeneity in frontier models | Tail index estimation | Instrumental variable quantile | Non linear integral equation | Landweber iteration | Economics | Mathematics, Interdisciplinary Applications | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Studies | Random variables | Post offices | Integral equations
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12. Full Text Ill-posed estimation in high-dimensional models with instrumental variables
by Breunig, Christoph and Mammen, Enno and Simoni, Anna
Journal of econometrics, ISSN 0304-4076, 11/2020, Volume 219, Issue 1, pp. 171 - 200
Central limit theorem | Sparsity | Desparsification | Lasso | Ill-posed estimation problem | Instrumental Variables | Linear model | Economics | Mathematics, Interdisciplinary Applications | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Monte Carlo method | Motor cars | Mapping | Estimating techniques | Finite element analysis | Econometrics | Asymptotic methods | Monte Carlo simulation | Market shares | Methodology | Economics and Finance | Methods and statistics | Humanities and Social Sciences | Statistics | Machine Learning | Statistics Theory
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13. Full Text NONPARAMETRIC INSTRUMENTAL VARIABLE ESTIMATION UNDER MONOTONICITY
by Denis Chetverikov and Daniel Wilhelm
Econometrica, ISSN 0012-9682, 7/2017, Volume 85, Issue 4, pp. 1303 - 1320
NOTES AND COMMENTS | Nonparametric estimation | monotonicity | measure of ill‐posedness | instrumental variable | measure of ill-posedness | Economics | Mathematics, Interdisciplinary Applications | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Studies | Economic models | Simulation | Regularity | Estimation
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14. Full Text Parameter estimation of the fractional-order Hammerstein–Wiener model using simplified refined instrumental variable fractional-order continuous time
by Allafi, Walid and Zajic, Ivan and Uddin, Kotub and Burnham, Keith J
IET control theory & applications, ISSN 1751-8644, 10/2017, Volume 11, Issue 15, pp. 2591 - 2598
Research Article | iterative methods | simplified refined instrumental variable fractional‐order continuous time | linear fractional‐order continuous‐time system | input static nonlinear functions | iterative simplified refined instrumental variable method | multiinput‐single‐output linear fractional‐order continuous‐time model | static output nonlinearity | Monte Carlo simulation analysis | sampled input‐output data |