Similar Search Results

First-differencing in panel data models with incidental functions

Jochmans, Koen - Department of Economics, Sciences économiques - 2010

estimation techniques can then be readily applied. Distribution theory for a kernel-weighted GMM estimator under large-n and …

Persistent link: https://www.econbiz.de/10010756882

Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance

Savin, Ivan; Winker, Peter - In: Computational Economics 39 (2012) 4, pp. 337-363

Persistent link: https://www.econbiz.de/10010866887

Heuristic Optimization Methods for Dynamic Panel Data Model Selection. Application on the Russian Innovative Performance

Savin, Ivan; Winker, Peter - COMISEF - 2010

Innovations, be they radical new products or technology improvements are widely recognized as a key factor of economic growth. To identify the factors triggering innovative activities is a main concern for economic theory and empirical analysis. As the number of hypotheses is large, the process...

Persistent link: https://www.econbiz.de/10008629502

Democratic learning and fiscal rules in the political budget cycles of the CEE countries

Stanova, Nadezda - In: International Journal of Economic Policy in Emerging … 5 (2012) 2, pp. 168-182

Political economy literature acknowledges the importance of democratic learning and of fiscal rules in preventing politically driven deficits. This paper investigates the role of these factors for the Political Budget Cycles in the ten Central and East European (CEE) countries from 1990 to 2010....

Persistent link: https://www.econbiz.de/10010668580

Theory and methodology for dynamic panel data: tested by simulations based on financial data

Papadopoulos, Savas - In: International Journal of Computational Economics and … 1 (2010) 3/4, pp. 239-253

A new method is introduced for panel-data models. Asymptotic robustness is used for a multivariate model with latent variables for a family of estimators. It is shown numerically that in comparison to standard methods we obtain: 1) better predictions in out-of-sample occasions; 2) smaller...

Persistent link: https://www.econbiz.de/10010669417

Which institutional investors encourage R&D investments

Gharbi, Sami; Gharbi, Hidaya Othmani - In: International journal of management & enterprise … 21 (2022) 3, pp. 241-262

Persistent link: https://www.econbiz.de/10014316588

Economic globalization and fiscal performance

Shi, Jianxun; Xu, Ling; Yang, Jing - In: Applied economics letters 30 (2023) 17, pp. 2348-2354

Persistent link: https://www.econbiz.de/10014365788

Complementarity or substitutability between private and public investment in R&D: An empirical study

Ben Zina, Tarek; Ben Zina, Naceur - Volkswirtschaftliche Fakultät, … - 2006

investment in R&D. Results based on the GMM method of Arellano and Bond (1991) and the tests of causality and unit root applied …

Persistent link: https://www.econbiz.de/10005837381

GMM Estimation and Inference in Dynamic Panel Data Models with Persistent Data

Kruiniger, Hugo - School of Economics and Finance, Queen Mary - 2006

In this paper we consider GMM based estimation and inference for the panel AR(1) model when the data are persistent and …

Persistent link: https://www.econbiz.de/10005106329

Quasi ML Estimation of the Panel AR(1) Model with Arbitrary Initial Conditions

Kruiniger, Hugo - School of Economics and Finance, Queen Mary - 2006

heterogenous distributions. We compare both analytically and by means of Monte Carlo simulations the QML estimators with the GMM … the AB GMM estimator, the QML estimators for ρ only suffer from a weak instruments problem when ρ is close to one if the … small bias when ρ is close to one. In contrast, the AB GMM estimator is inconsistent when ρ is equal to one, and is severly …

Persistent link: https://www.econbiz.de/10005106335