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  • Search: subject:"error component models"
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Year of publication
Subject
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error component models 7 Bayes-Statistik 2 Bayesian inference 2 Error Component Models 2 GMM 2 Theorie 2 Theory 2 agri-environmental policy 2 choice experiments 2 covariance heterogeneity model 2 inequality 2 landscape values 2 latent class model 2 preference heterogeneity 2 random parameter logit model 2 small sample properties 2 Armut 1 BHPS-SEP-SOEP data models 1 Bayesian estimation 1 Crowding-out 1 Defence R&D Spending 1 Demand Models 1 Demand-supply Models 1 Einkommensverteilung 1 Estimation theory 1 Gaussian Markov random fields 1 Growth 1 INLA 1 Income distribution 1 Investment 1 Kronecker product 1 Labor income process 1 Lohn 1 Markov chain 1 Markov-Kette 1 Measurement 1 Messung 1 Nonnormality 1 Panel 1 Panel data 1
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Online availability
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Free 5 Undetermined 3
Type of publication
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Book / Working Paper 6 Article 4
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Conference paper 1 Konferenzbeitrag 1
Language
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English 5 Undetermined 5
Author
All
Colombo, Sergio 2 Louviere, Jordan 2 Nakata, Taisuke 2 Tonetti, Christopher 2 Antunes, Marta 1 Badinger, Harald 1 Blanchard, P. 1 Brendolin, Nícia C. H. 1 Egger, Peter 1 Fouarge, Didier 1 Hanley, Nicholas 1 Hanley, Nick 1 Le Gallo, Julie 1 Ling, Yuheng 1 Matyas, L. 1 Morales-Ramos, Eduardo 1 Muffels, Ruud 1 Oliveira, Leonardo S. 1 Quintaes, Viviane C. C. 1 Santos, Luciana Alves dos 1 Souza, Debora F. de 1
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Institution
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CESifo 1 Department of Econometrics and Business Statistics, Monash Business School 1 Department of Economics, University of Stirling 1 Federal Reserve Board (Board of Governors of the Federal Reserve System) 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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CESifo Working Paper Series 1 Defence and Peace Economics 1 Finance and Economics Discussion Series 1 Journal of applied economics 1 Letters in spatial and resource sciences : LSRS 1 MPRA Paper 1 Monash Econometrics and Business Statistics Working Papers 1 Stirling Economics Discussion Papers 1 The review of income and wealth : journal of the International Association for Research in Income and Wealth 1
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Source
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RePEc 6 ECONIS (ZBW) 3 BASE 1
Showing 1 - 10 of 10
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Bayesian spatial panel models : a flexible Kronecker error component approach
Ling, Yuheng; Le Gallo, Julie - In: Letters in spatial and resource sciences : LSRS 16 (2023) 1, pp. 1-11
Persistent link: https://www.econbiz.de/10014514147
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Small Sample Properties of Bayesian Estimators of Labor Income Processes
Nakata, Taisuke; Tonetti, Christopher - Federal Reserve Board (Board of Governors of the … - 2014
There exists an extensive literature estimating idiosyncratic labor income processes. While a wide variety of models are estimated, GMM estimators are almost always used. We examine the validity of using likelihood based estimation in this context by comparing the small sample properties of a...
Persistent link: https://www.econbiz.de/10010784169
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Construction of a consumption aggregate based on information from POF 2008-2009 and its use in the measurement of welfare, poverty, inequality and vulnerability of families
Oliveira, Leonardo S.; Souza, Debora F. de; Santos, … - In: The review of income and wealth : journal of the … 62 (2016), pp. 179-210
Persistent link: https://www.econbiz.de/10011630056
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Small sample properties of Bayesian estimators of labor income processes
Nakata, Taisuke; Tonetti, Christopher - In: Journal of applied economics 18 (2015) 1, pp. 121-148
Persistent link: https://www.econbiz.de/10011554883
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Modelling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture
Colombo, Sergio; Hanley, Nicholas; Louviere, Jordan - Department of Economics, University of Stirling - 2008
Stated choice models based on the random utility framework are becoming increasingly popular in the applied economics literature. The need to account for respondents' preference heterogeneity in such models has motivated researchers in agricultural, environmental, health and transport economics...
Persistent link: https://www.econbiz.de/10005748774
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GM Estimation of Higher Order Spatial Autoregressive Processes in Panel Data Error Component Models
Badinger, Harald; Egger, Peter - CESifo - 2008
This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...
Persistent link: https://www.econbiz.de/10005094303
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Modelling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture
Colombo, Sergio; Hanley, Nick; Louviere, Jordan - 2008
Stated choice models based on the random utility framework are becoming increasingly popular inthe applied economics literature. The need to account for respondents’ preference heterogeneity insuch models has motivated researchers in agricultural, environmental, health and transporteconomics...
Persistent link: https://www.econbiz.de/10009465872
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Persistent poverty in the Netherlands, Germany and the UK
Fouarge, Didier; Muffels, Ruud - Volkswirtschaftliche Fakultät, … - 2000
Using panel data for the Netherlands, Germany and the UK for seven years in the late 1980s and early 1990s the paper examines the comparative evidence on longitudinal income and persistent poverty for the three countries. Elaborating on the existing methodological literature of income dynamics,...
Persistent link: https://www.econbiz.de/10005836310
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Defence R&D expenditure: The crowding-out hypothesis
Morales-Ramos, Eduardo - In: Defence and Peace Economics 13 (2002) 5, pp. 365-383
also reports the results for the pooled data of these five countries, and for four error component models. The results from …
Persistent link: https://www.econbiz.de/10005640004
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Robustness of Tests for Error Component Models to Nonnormality.
Blanchard, P.; Matyas, L. - Department of Econometrics and Business Statistics, … - 1994
Persistent link: https://www.econbiz.de/10005581129
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