scholarly journals Standard Error Correction in Two-Stage Optimization Models: A Quasi-Maximum Likelihood Estimation Approach

2017 ◽  
Author(s):  
Fernando Rios Avila ◽  
Gustavo Javier Canavire-Bacarreza
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Error Correction ◽  
Standard Error ◽  
Likelihood Estimation ◽  
Optimization Models ◽  
Two Stage ◽  
Quasi Maximum Likelihood

scholarly journals Standard-error Correction in Two-stage Optimization Models: A Quasi–maximum Likelihood Estimation Approach

2018 ◽  
Vol 18 (1) ◽  
pp. 206-222 ◽  
Author(s):  
Fernando Rios-Avila ◽  
Gustavo Canavire-Bacarreza
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Error Correction ◽  
Likelihood Estimation ◽  
Optimization Models ◽  
Standard Errors ◽  
Two Stage ◽  
Maximum Likelihood Approach ◽  
Likelihood Approach ◽  
Quasi Maximum Likelihood

Following Wooldridge (2014, Journal of Econometrics 182: 226–234), we discuss and implement in Stata an efficient maximum-likelihood approach to the estimation of corrected standard errors of two-stage optimization models. Specifically, we compare the robustness and efficiency of the proposed method with routines already implemented in Stata to deal with selection and endogeneity problems. This strategy is an alternative to the use of bootstrap methods and has the advantage that it can be easily applied for the estimation of two-stage optimization models for which already built-in programs are not yet available. It could be of particular use for addressing endogeneity in a nonlinear framework.

scholarly journals Identifying Stabilising Effects on Survey Based Life Satisfaction Using Quasi-maximum Likelihood Estimation

2021 ◽  
Author(s):  
Johannes Klement
Keyword(s):  
Life Satisfaction ◽  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Negative Binomial ◽  
Measurement Instrument ◽  
Likelihood Estimation ◽  
Satisfaction Scale ◽  
Quasi Maximum Likelihood ◽  
The Stability

AbstractTo which extent do happiness correlates contribute to the stability of life satisfaction? Which method is appropriate to provide a conclusive answer to this question? Based on life satisfaction data of the German SOEP, we show that by Negative Binomial quasi-maximum likelihood estimation statements can be made as to how far correlates of happiness contribute to the stabilisation of life satisfaction. The results show that happiness correlates which are generally associated with a positive change in life satisfaction, also stabilise life satisfaction and destabilise dissatisfaction with life. In such as they lower the probability of leaving positive states of life satisfaction and increase the probability of leaving dissatisfied states. This in particular applies to regular exercise, volunteering and living in a marriage. We further conclude that both patterns in response behaviour and the quality of the measurement instrument, the life satisfaction scale, have a significant effect on the variation and stability of reported life satisfaction.

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