Semiparametric estimates of the relation between weather and electricity sales

By Robert F. Engle, Clive W. J. Granger, John Rice, A. Weiss. 1986

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Citations in the corpus

Sparse Partially Linear Additive Models (2014, methodology): “GPLAMs are a popular tool for data analysis in multiple domains including economics (Engle et al. 1986; Green and Silverman 1993) and biology (Dinse and Lagakos 1983; Lian, Chen, and Yang 2012).”
Tuning parameter selectors for the smoothly clipped absolute deviation method. (2007, methodology): “Various estimation procedures have been proposed in the literature (Engle et al., 1986; Heckman, 1986; Robinson, 1988; Speckman, 1988), and a comprehensive survey for the partially linear model is given by (Härdle et al., 2000 the penalty function p λ (|β j”
Identification and Estimation of Average Partial Effects in “Irregular” Correlated Random Coefficient Panel Data Models (2012, unknown): “Following Engle et al. (1986), we have ζ0 = E [ Ṽ′Ṽ ]−1 × E[Ṽ′Y] which, under regularity conditions, is also √ N estimable (e.g., Robinson (1988)).”
Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem (2018, background): “[8] who analyzed the relationship between electricity usage and temperature.”
Empirical likelihood confidence intervals for nonparametric functional data analysis (2009, background): “4 Inferences for partially linear models Consider the semi-functional partially linear model (Engle et al., 1986; Aneiros-Perez and Vieu, 2006) Yi = Z T i β + r(Xi) + ǫi, i = 1, .”
Semiparametric Regression Pursuit (2012, methodology): “Examples include the partial spline estimator (Wahba (1984), Engle et al. (1986), and Heckman (1986)), the partial residual estimator (Robinson (1988), Speckman (1985)), and polynomial spline estimator (Chen (1988)).”
A Selective Review of Group Selection in High-Dimensional Models. (2012, methodology): “In linear regression models with standardized predictors, Fan and Li (2001) suggested using γ ≈ 3.”
Applied Nonparametric Regression: The kernel method (1990, unknown): “5, is of parabolic shape (Epanechnikov (1969); Bartlett (1963)):”
Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US (2011, unknown): “’s seminal paper on relationship between temperature and electricity sales suggests that 65° F is a reasonable base for both cooling and heating degree days (Engle et al. 1986).”
Sliced Inverse Regression for Dimension Reduction (1991, methodology): “…1981), ACE and additive models (Breiman and Friedman 1985; Stone 1986; Hastie and Tib-shirani 1986), or partial splines (Chen 1988b; Cuzik 1987; Engle, Granger, Rice, and Rice 1986; Heckman 1986; Speckman 1987; Wahba 1986), for instance, seem to have singled out the approximation of the…”