Series Estimation of Partially Linear Panel Data Models with Fixed Effects

By Badi H. Baltagi, Dong Li. 2002

244 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b00e7e4b18c47481835392dfd9653027c7db4361

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Citations in the corpus

Sieve estimation of panel data models with cross section dependence (2012, unknown): “See Newey (1994, 1995, 1997), Li (2000), Baltagi and Li (2002), and Li et al. (2003), among others.”
CO2 emissions, urbanisation and economic growth: evidence from Asian countries (2019, methodology): “To explore a clear relational structure between urbanisation and CO2 emissions, Baltagi and Li (2002) investigated this topic using a semi-parametric panel fixedeffects regression model. Similarity, using panel data, York, Rosa and Dietz (2003) used a cross-section of 137 countries to test a relatio”
Profile likelihood estimation of partially linear panel data models with fixed effects (2006, background): “As Baltagi and Li (2002) notice, there is a rich literature on semiparametric estimation of panel data models, whereas few studies focus on consistent estimation of semiparametric panel data models with fixed effects.”
Causality between trade openness and energy consumption: What causes what in high, middle and low income countries (2014, unknown): “j j t i j i t i i j t i i x x x , 1 , , 1 , ,               (6)”
Exporting and Firm Performance: Evidence from a Randomized Experiment (2017, unknown): “Online Appendix F presents similar plots using the partially linear panel data estimator proposed by Baltagi and Li (2002).”
Semiparametric Fixed-Effects Estimator (2013, background): “What Baltagi and Li (2002) propose is to approximate f(z) by series pk(z) (and therefore approximate G(zit, zit−1) = [f(zit)−f(zit−1)] by pk(zit, zit−1) = [pk(zit)−pk(zit−1)]) where pk(z) are the first k terms of a sequence of functions (p1(z), p2(z), ...).”