Search Results - subject:"Smoothing Splines"

Inference for Constrained Estimation of Tumor Size Distributions

Ghosh, Debashis; Banerjee, Moulinath; Biswas, Pinaki - 2008

In order to develop better treatment and screening programs for cancer prevention programs, it is important to be able to understand the natural history of the disease and what factors affect its progression. We focus on a particular framework first outlined by Kimmel and Flehinger (1991,...

Persistent link: https://www.econbiz.de/10009477554

Sectoral productivity trends : convergence islands in oceans of non-convergence

Castellacci, Fulvio; Los, Bart; Vries, Gaaitzen J. de - In: Journal of evolutionary economics : JEE 24 (2014) 5, pp. 983-1007

Persistent link: https://www.econbiz.de/10010484225

Sectoral productivity trends: convergence islands in oceans of non-convergence

Castellacci, Fulvio; Los, Bart; Vries, Gaaitzen - In: Journal of Evolutionary Economics 24 (2014) 5, pp. 983-1007

longitudinal sectoral database for 65 developed and developing countries. We employ an econometric method, quantile smoothing … splines, which explicitly allows for identification of parameter heterogeneity both with regard to initial conditions (X …

Persistent link: https://www.econbiz.de/10011152309

Time-Varying Coefficients in a GMM Framework: Estimation of a Forward Looking Taylor Rule for the Federal Reserve.

Partouche, H. - Banque de France - 2007

-parametric approach is proposed, combining the Generalized Method of Moments (GMM) with the smoothing splines litterature as in Hodrick …

Persistent link: https://www.econbiz.de/10004998847

Semiparametric additive models under symmetric distributions

Ibacache-Pulgar, Germán; Paula, Gilberto; Cysneiros, … - In: TEST: An Official Journal of the Spanish Society of … 22 (2013) 1, pp. 103-121

smoothing splines is presented. In particular, the score functions and Fisher information matrices for the parameters of …

Persistent link: https://www.econbiz.de/10010994314

A New Panel Data Treatment for Heterogeneity in Time Trends

Kneip, Alois; Sickles, Robin Christopher; Song, Wonho - 2006

Our paper introduces a new estimation method for arbitrary temporal heterogeneity in panel data models. The paper provides a semiparametric method for estimating general patterns of cross-sectional specific time trends. The methods proposed in the paper are related to principal component...

Persistent link: https://www.econbiz.de/10010263160