Results 91 to 100 of about 146,182 (300)

How Does Information and Communication Technologies Affect Economic Growth? A Comparative Analysis of the Economies of the European Union and Asia-Pacific Region

İktisat Politikası Araştırmaları Dergisi
In the contemporary era of digitization, economies have been significantly influenced by the emergence of information and communication technology (ICT). In this digital age, the ICT sector all over the world has entered a period of rapid growth.
Tamerlan Mashadihasanli, Haluk Zülfikar
doaj   +1 more source

Redistributive land reforms, agricultural productivity, and structural change: New cross‐national evidence

American Journal of Agricultural Economics, EarlyView.
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra, Abdulaziz B. Shifa, Lan Anh Tong, Mehmet A. Ulubasoglu   +3 more
wiley   +1 more source

Symmetrically normalized instrumental-variable estimation using panel data. [PDF]

In this paper we discuss the estimation of panel data models with sequential moment restrictions using symmetrically normalized GMM estimators. These estimators are asymptotically equivalent to standard GMM but are invariant to normalization and tend to ...
Alonso-Borrego, César, Arrellano, Manuel   +1 more
core  

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

Annals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova, Christina van der Linden, Ningfei Li, Konstantin Butenko, Thea Berger, Garance M. Meyer, Ilkem Aysu Sahin, Lukas L. Goede, Bahne H. Bahners, Barbara Hollunder, Till A. Dembek, Andrew R. Pines, Martin Reich, Jens Volkmann, Vincent J. J. Odekerken, Rob M. A. de Bie, Xin Xu, Zhipei Ling, Chen Yao, Andrea A. Kühn, Surjo R. Soekadar, Kerstin Ritter, Michael T. Barbe, Veerle Visser‐Vandewalle, Michael D. Fox, Jan Niklas Petry‐Schmelzer, Nanditha Rajamani, Andreas Horn   +27 more
wiley   +1 more source

RMSE Reduction for GMM Estimators of Linear Time Series Models [PDF]

In this paper we analyze GMM estimators for time series models as advocated by Hayashi and Sims, and Hansen and Singleton. It is well known that these estimators achieve efficiency bounds if the number of lagged observations in the instrument set goes to
Guido Kuersteiner
core  

Tooth eruption status and bite force determine dental microwear texture gradients in albino rats (Rattus norvegicus forma domestica)

The Anatomical Record, EarlyView.
Abstract Dental microwear texture analysis (DMTA) is widely applied for inferring diet in vertebrates. Besides diet and ingesta properties, factors like wear stage and bite force may affect microwear formation, potentially leading to tooth position‐specific microwear patterns.
Daniela E. Winkler, Isabelle Bernetière, Christine Böhmer   +2 more
wiley   +1 more source

Instrumental Variable Quantile Estimation of Spatial Autoregressive Models [PDF]

We propose an instrumental variable quantile regression (IVQR) estimator for spatial autoregressive (SAR) models. Like the GMM estimators of Lin and Lee (2006) and Kelejian and Prucha (2006), the IVQR estimator is robust against heteroscedasticity ...
Liangjun Su, Zhenlin Yang
core   +3 more sources

Multimarket contacts and bank profitability: do diversification and bank ownership matter?

Cogent Economics & Finance, 2020
This study investigates the impact of multimarket contacts on bank profitability in the Vietnamese banking system from 2006 to 2015 using the system GMM.
Tu Dq Le
doaj   +1 more source

Several Tunable GMM Kernels

CoRR, 2018
While tree methods have been popular in practice, researchers and practitioners are also looking for simple algorithms which can reach similar accuracy of trees. In 2010, (Ping Li UAI'10) developed the method of "abc-robust-logitboost" and compared it with other supervised learning methods on datasets used by the deep learning literature. In this study,
openaire   +2 more sources

GMM with Many Moment Conditions [PDF]

This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimators when the number of moment conditions is allowed to increase with the sample size and the moment conditions may be weak.
Chirok Han, Peter C.B. Phillips
core