On the diminishing returns of higher-order terms in asymptotic expansions of bias

By M. Bun, Jan F. Kiviet. 2003

431 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0b25e3d9d911a203c6d4b6e5b29309a416f678d2

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In Economics and Econometrics

Citations in the corpus

Technological change and employment: is Europe ready for the challenge? (2018, positive): “Therefore, a possible labor-saving effect due to the embodied technological change incorporated in capital formation 12 This methodology is based on the within group estimator, but corrected for its asymptotic bias (see Kiviet 1995, 1999; Bun and Kiviet 2003).”
The effectiveness of subsidies revisited: Accounting for wage and employment effects in business R&D (2008, neutral): “Bruno (2005) extends the work of Bun and Kiviet 2003) and derives approximations to the bias of the LSDV ynamic estimator for unbalanced samples.”
Is Demand-Pulled Innovation Equally Important in Different Groups of Firms? (2007, neutral): “In their conclusions Bun and Kiviet (2003, pp.151-2) suggest a lower order correction when both N and T are twodigit numbers; however this is not the case in this paper where T is equal to 6.”
The determinants of net interest income in the Mexican banking system: an integrated model (2009, methodology): “For robustness, we estimate an alternative approach to the system GMM estimator for small samples, Least-Squares Dummy Variable (LSDV) estimator corrected for small simple bias (Kiviet, 1995; Bun and Kiviet, 2003 and Bruno 2005) and the system GMM results hold.”
Abatement and Allocation in the Pilot Phase of the EU ETS (2009, background): “…in Section 4.2 The signiﬁcance of the lagged dependent variable is as expected in Equation (1), and is of similar magnitude to the lagged dependent variable coefﬁcients in Kamerschen and Porter (2004) but slightly smaller than those for the industrial energy demand equation in Considine (2000).”
Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction (2019, methodology): “Specification (15) and (16) will be tested through three different methodologies, namely: Pooled Ordinary Least Squares (POLS) controlled for time effects; Fixed Effects (FE), in order to take into account country/sector unobservables; and Least Squares Dummy Variables Corrected (LSDVC), in order to”
The Impact of Supply Constraints on Bank Lending in the Euro Area - Crisis Induced Crunching? (2010, methodology): “…experiments; their analyses suggest the use of a bias corrected least-squares-dummy-variable (LSDVC) estimator as developed by Kiviet (1995) and extended upon by Bun and Kiviet (2003) and Bruno (2005a,b) which allows for a lagged endogenous variable despite a small cross-section of the sample.”
In Search of Robust Methods for Dynamic Panel Data Models in Empirical Corporate Finance (2015, neutral): “Our study is related to previous simulation studies in the econometrics literature (Kiviet, 1995; Judson and Owen, 1999; Bun and Kiviet, 2003; Bruno, 2005; Bun and Carree, 2006; Everaert and Pozzi, 2007).”
R&D and Employment: An Application of the LSDVC Estimator Using European Microdata (2012, background): “By the same token, Cincera (2005) shows that R&D expenditures are addressed to product innovation in 77% of cases (ibidem, Table 2, p.”
Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models (2005, methodology): “Bun and Kiviet (2003) analyze the accuracy of Kiviet’s (1999) approximation using simpler formulas.”