مقایسهٔ روش‌ها

	تخمین‌گر GMM تفاضلی (تخمین‌گر آرِلیانو-باند)	تحلیل داده‌های پانل
حوزه	اقتصادسنجی	اقتصادسنجی
خانواده	Regression model	Regression model
سال پیدایش	1991	1966–1978
پدیدآور	Manuel Arellano and Stephen Bond	Balestra & Nerlove (1966); Mundlak (1978); Hausman (1978)
نوع	GMM panel estimator	Panel regression framework
منبع بنیادین	Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297.	Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528
نام‌های دیگر	Arellano-Bond estimator, AB-GMM, first-difference GMM, difference GMM estimator	longitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysis
مرتبط	5	5
خلاصه	Difference GMM, introduced by Arellano and Bond (1991), estimates dynamic panel data models by first-differencing the equation to remove fixed effects, then using lagged levels of the endogenous variables as GMM instruments. It is the standard approach when a lagged dependent variable or other endogenous regressors are present in a panel with many units and few time periods.	Panel data analysis models data that track multiple units — countries, firms, individuals — over time, enabling researchers to control for unobserved unit-level heterogeneity that would otherwise bias cross-sectional or time-series estimates. The two core specifications are fixed effects and random effects, selected via the Hausman test.