Zobrazeno 1 - 10
of 12
pro vyhledávání: '"László Balázsi"'
Publikováno v:
Econometric Reviews. 41:147-176
This paper proposes a new estimation procedure called Event Count Estimator (ECE). The estimator is straightforward to implement and is robust against outliers, censoring and ‘excess zeros’ in the ...
Publikováno v:
Journal for Labour Market Research
We compare the wages of skilled workers in multinational enterprises (MNEs) versus domestic firms, the earnings of domestic firm workers with past, future and no MNE experience, and estimate how the presence of ex-MNE peers affects the wages of domes
Publikováno v:
Econometric Reviews, 37(3), 212-227. Taylor & Francis Group
This article introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic aut
Publikováno v:
Közgazdasági Szemle. 63:524-547
Publikováno v:
Közgazdasági Szemle. :407-430
Publikováno v:
Advanced Studies in Theoretical and Applied Econometrics ISBN: 9783319607825
This chapter deals with specification, estimation and inference within the framework of a random coefficient model in the presence of higher dimensional panel data. Most of the chapter is concerned with a three-dimensional setting with an extension t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22f874b962ee261d8d207f5cddf730a7
https://doi.org/10.1007/978-3-319-60783-2_5
https://doi.org/10.1007/978-3-319-60783-2_5
Publikováno v:
Advanced Studies in Theoretical and Applied Econometrics ISBN: 9783319607825
This chapter examines various estimation and testing issues concerning models with endogenous regressors. The complexity of these issues increases as the number of potential unobserved heterogeneities increases with the dimension of the data. The cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15c5a031690bcd3ce32c65d5213c5cd3
https://doi.org/10.1007/978-3-319-60783-2_3
https://doi.org/10.1007/978-3-319-60783-2_3
Publikováno v:
Advanced Studies in Theoretical and Applied Econometrics ISBN: 9783319607825
This chapter deals with the most relevant multi-dimensional random effects panel data models, where, unlike in the case of fixed effects, the number of parameters to be estimated does not increase with the sample size. First, optimal (F)GLS estimator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9305ad8e943137529a60c6f76ddce2a
https://doi.org/10.1007/978-3-319-60783-2_2
https://doi.org/10.1007/978-3-319-60783-2_2
Publikováno v:
Advanced Studies in Theoretical and Applied Econometrics ISBN: 9783319607825
In recent years the massive emergence of multi-dimensional panels has led to an increasing demand for more sophisticated model formulations with respect to the well known two-dimensional ones to address properly the additional heterogeneity in the da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4cbd01285dccb60b7b4c18bd20cb90a
https://doi.org/10.1007/978-3-319-60783-2_1
https://doi.org/10.1007/978-3-319-60783-2_1
Autor:
LÁSZLÓ, BALÁZSI1 Balazsi_Laszlo@ceubudapest.edu, JÁNOS KÁROLY, DIVÉNYI1 divenyi_janos@ceu-budapest.edu, GÁBOR, KÉZDI1 kezdig@ceu.hu, LÁSZLÓ, MÁTYÁS1 matyas@ceu.hu
Publikováno v:
Economic Review / Kozgazdasagi Szemle. Nov2014, Vol. 61, p1319-1340. 22p.