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The Long-Run Causal Relationship between Transport Energy Consumption and GDP : Evidence from Heterogeneous Panel Methods Robust to Cross-Sectional Dependence
Liddle, Brant - 2014
This paper analyzes data from 107 countries, spanning 1971-2009, and grouped into three income-based panels to determine the direction and sign of panel long-run causality between transport energy consumption per capita and real GDP per capita. The methods employed address heterogeneity and (at...
Persistent link: https://www.econbiz.de/10013062591
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Determinants of residential space heating expenditures in Great Britain
Meier, Helena (contributor); Rehdanz, Katrin (contributor) - 2008
carbon emissions. In the domestic sector, these targets can be achieved by improving space heating efficiency and, hence …, decrease heating expenditures. However, before implementing policy measures it is necessary to better understand determinants … of heating expenditures. In this paper, we examine determinants of heating expenditures which include socio-economic and …
Persistent link: https://www.econbiz.de/10003734915
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There’s Technology Improvement, but is there Economy-wide Energy Leapfrogging? A Country Panel Analysis
Liddle, Brant - 2020
Energy leapfrogging may have critical implications for a world that seeks to reduce its fossil fuel use and greenhouse gas emissions, and in which most future economic growth will be concentrated in rapidly growing, industrializing countries rather than in more mature economies. The current...
Persistent link: https://www.econbiz.de/10012850454
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Panel Data and Experimental Design
Burlig, Fiona - 2019
How should researchers design panel data experiments? We analytically derive the variance of panel estimators, informing power calculations in panel data settings. We generalize Frison and Pocock (1992) to fully arbitrary error structures, thereby extending McKenzie (2012) to allow for...
Persistent link: https://www.econbiz.de/10012863195
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Robust Semiparametric Estimation in Panel Multinomial Choice Models
Gao, Wayne Yuan - 2020
This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models, where we allow for infinite-dimensional fixed effects that enter into consumer utilities in an additively nonseparable way, thus incorporating rich forms of unobserved...
Persistent link: https://www.econbiz.de/10012850938
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A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching
Mittag, Nikolas - 2015
Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that cause bias are often invoked to make computation...
Persistent link: https://www.econbiz.de/10013025401
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A simple method to estimate large fixed effects models applied to wage determinants and matching
Mittag, Nikolas - 2016
Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that are likely to cause bias are often invoked to make...
Persistent link: https://www.econbiz.de/10011595866
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Heteroskedasticity in one-way error component probit models
Moussa, Richard Kouamé - In: Econometrics : open access journal 7 (2019) 3/35, pp. 1-22
This paper introduces an estimation procedure for a random effects probit model in presence of heteroskedasticity and a likelihood ratio test for homoskedasticity. The cases where the heteroskedasticity is due to individual effects or idiosyncratic errors or both are analyzed. Monte Carlo...
Persistent link: https://www.econbiz.de/10012160867
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A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching
Mittag, Nikolas - 2017
Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that are likely to cause bias are often invoked to make...
Persistent link: https://www.econbiz.de/10012966061
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Maximum Likelihood Estimation of an Extended Latent Markov Model for Clustered Binary Panel Data
Bartolucci, Francesco; Nigro, Valentina - 2007
Computational aspects concerning a model for clustered binary panel data are analysed. The model is based on the representation of the behavior of a subject (individual panel member) in a given cluster by means of a latent process that is decomposed into a cluster-specific component, which...
Persistent link: https://www.econbiz.de/10014052438