قارن الطرق
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| تقدير العزوم المعممة (GMM)× | انحدار المربعات الصغرى العادية (OLS)× | |
|---|---|---|
| المجال | الاقتصاد القياسي | الاقتصاد القياسي |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1982 | 2019 |
| صاحب الطريقة≠ | Lars Peter Hansen; Arellano & Bond (dynamic panel) | Wooldridge (textbook treatment); classical least squares |
| النوع≠ | Moment-condition estimator | Linear regression |
| المصدر التأسيسي≠ | Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029-1054. DOI ↗ | Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860 |
| الأسماء البديلة | generalized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM) | ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu |
| ذات صلة | 5 | 5 |
| الملخص≠ | The Generalized Method of Moments is a general-purpose econometric estimator that recovers parameters from population moment conditions, introduced by Lars Peter Hansen in 1982. It is widely used for instrumental-variable estimation, dynamic panel-data models (the Arellano-Bond estimator), and time-series applications. | Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE). |
| ScholarGateمجموعة البيانات ↗ |
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