Long difference instrumental variables estimation for dynamic panel models with fixed effects
By Jinyong Hahn, Jerry A. Hausman, G. Kuersteiner. 2007
174 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/eb922736ccef2d0e5427005fc9a257709e13de89
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In Economics and Econometrics
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Citations in the corpus
- Asymmetric Capital Structure Adjustments: New Evidence from Dynamic Panel Threshold Models (2012, background): “`it − `i,t−k = δ (`it − `i,t−k) + vit, k > 1, which alleviates the problem of weak instruments and relies on a smaller set of moment conditions, so that its small-sample performance is arguably more reliable than the standard GMM estimators (Hahn et al., 2007).”
- Testing Theories of Capital Structure and Estimating the Speed of Adjustment (2009, unknown): “Hovakimian (2006) and Kayhan and Titman (2007) suggest that the importance of the external finance weighted average of historical market-to-book ratios in Baker and Wurgler (2002) is driven by the mean value of historical market-to-book ratios.”
- A SIMPLE EFFICIENT INSTRUMENTAL VARIABLE ESTIMATOR FOR PANEL AR(p) MODELS WHEN BOTH N AND T ARE LARGE (2009, unknown): “We consider the cases of (T,N) = (10,100), (10,500), (15,100), (15,300), (20,100), (20,200), (50,100), and (100,100).”
- Estimating Dynamic Panel Models in Corporate Finance (2013, unknown): “In part because the AB and BB instruments are invalidated by second-order autocorrelation (Baltagi (2008)), Hahn et al. (2007) derived a " long difference " instrumental variable estimation technique.”
- The Value of a Statistical Life: Evidence from Panel Data (2012, background): “If ∆ ≥ 2 then measurement error effects are mitigated in equation (2) relative to within-differences regression (Griliches and Hausman 1986; Hahn, Hausman, and Kuersteiner 2007).”
- The Dynamics of Cash (2010, methodology): “LD (long differencing) estimator is similar to the one proposed by Hahn, Hausman, and Kuersteiner (2007) and implemented by Huang and Ritter (2009) using 2SLS: , , 1 ∙ 32 Firm Characteristic Variables: Cash Flow is measured as earnings less interest and taxes (ibq+dpq), divided by total assets…”
- THE ASYMPTOTIC PROPERTIES OF THE SYSTEM GMM ESTIMATOR IN DYNAMIC PANEL DATA MODELS WHEN BOTH N AND T ARE LARGE (2015, background): “In line with the former approach, Hahn, Hausman, and Kuersteiner (2007), Han and Phillips (2010), and Han, Phillips, and Sul (2014) propose variants of IV/GMM estimators, while Hayakawa and Pesaran (2012) extend the ML approach of Hsiao et al. (2002) to allow for crosssectional heteroskedasticity.”
- Empirical Capital Structure: A Review (2009, unknown): “Because leverage is highly persistent, Huang and Ritter use Hahn et al.’s (2007) recommendation of using a long differencing estimator for highly persistent time series.”
- In Search of Robust Methods for Dynamic Panel Data Models in Empirical Corporate Finance (2015, unknown): “A number of iterations (at least three) are often required to ensure that the parameters can be estimated efficiently (Hahn et al., 2007).”
- Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models (2017, background): “[6], Kiviet [7], Kruiniger [8], Okui [9], Roodman [10], Hayakawa [11] and Han and Phillips [12] just concern the panel AR(1) model under homoskedasticity.”
- Penalized Quantile Regression for Dynamic Panel Data (2010, methodology): “Moreover, Wang, Li, and Jiang (2007) note that in the least absolute deviation regression the l1-penalty can do parameter estimation and variable selection simultaneously.”