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  2. Generalized method of moments - Wikipedia

    en.wikipedia.org/wiki/Generalized_method_of_moments

    In econometrics and statistics, the generalized method of moments (GMM) is a generic method for estimating parameters in statistical models.Usually it is applied in the context of semiparametric models, where the parameter of interest is finite-dimensional, whereas the full shape of the data's distribution function may not be known, and therefore maximum likelihood estimation is not applicable.

  3. EM algorithm and GMM model - Wikipedia

    en.wikipedia.org/wiki/EM_Algorithm_And_GMM_Model

    The EM algorithm consists of two steps: the E-step and the M-step. Firstly, the model parameters and the () can be randomly initialized. In the E-step, the algorithm tries to guess the value of () based on the parameters, while in the M-step, the algorithm updates the value of the model parameters based on the guess of () of the E-step.

  4. Arellano–Bond estimator - Wikipedia

    en.wikipedia.org/wiki/Arellano–Bond_estimator

    In econometrics, the Arellano–Bond estimator is a generalized method of moments estimator used to estimate dynamic models of panel data.It was proposed in 1991 by Manuel Arellano and Stephen Bond, [1] based on the earlier work by Alok Bhargava and John Denis Sargan in 1983, for addressing certain endogeneity problems. [2]

  5. Expectation–maximization algorithm - Wikipedia

    en.wikipedia.org/wiki/Expectation–maximization...

    The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then ...

  6. Heckman correction - Wikipedia

    en.wikipedia.org/wiki/Heckman_correction

    The Heckman correction is a two-step M-estimator where the covariance matrix generated by OLS estimation of the second stage is inconsistent. [7] Correct standard errors and other statistics can be generated from an asymptotic approximation or by resampling, such as through a bootstrap. [8]

  7. 'Everyone wants to be my friend': Takeaways from Trump's ...

    www.aol.com/everyone-wants-friend-takeaways...

    The Social Security Administration and more than 40,000 workers represented by the American Federation of Government Employees union reached a deal earlier this month that would allow most of ...

  8. Bake Better Cookies by Avoiding These 5 Common Mistakes - AOL

    www.aol.com/lifestyle/bake-better-cookies...

    This step is crucial for a number of reasons: In some cases, it makes your dough easier to work (think soft, delicate Linzer dough ). It prevents your cookies from spreading in the oven.

  9. After a slow start, flu season is picking up steam - AOL

    www.aol.com/slow-start-flu-season-picking...

    The flu is ramping up after a slow start to the season. Positive tests rose 12% for the week ending Dec. 21, compared to the week prior, according to data released Friday by the Centers for ...