Fixed effects estimation of structural parameters and marginal effects in panel probit models

2009 ◽  
Vol 150 (1) ◽  
pp. 71-85 ◽  
Author(s):  
Iván Fernández-Val
Author(s):  
Laura Magazzini ◽  
Randolph Luca Bruno ◽  
Marco Stampini

In this article, we describe the xtfesing command. The command implements a generalized method of moments estimator that allows exploiting singleton information in fixed-effects panel-data regression as in Bruno, Magazzini, and Stampini (2020, Economics Letters 186: Article 108519).


2016 ◽  
Vol 2016 (281) ◽  
Author(s):  
Alexander Chudik ◽  
◽  
M. Hashem Pesaran ◽  
Jui-Chung Yang ◽  
◽  
...  

2003 ◽  
Vol 22 (1) ◽  
pp. 1-28 ◽  
Author(s):  
François Laisney ◽  
Michael Lechner

GeroPsych ◽  
2012 ◽  
Vol 25 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Annie Robitaille ◽  
Graciela Muniz ◽  
Andrea M. Piccinin ◽  
Boo Johansson ◽  
Scott M. Hofer

We illustrate the use of the parallel latent growth curve model using data from OCTO-Twin. We found a significant intercept-intercept and slope-slope association between processing speed and visuospatial ability. Within-person correlations among the occasion-specific residuals were significant, suggesting that the occasion-specific fluctuations around individual’s trajectories, after controlling for intraindividual change, are related between both outcomes. Random and fixed effects for visuospatial ability are reduced when we include structural parameters (directional growth curve model) providing information about changes in visuospatial abilities after controlling for processing speed. We recommend this model to researchers interested in the analysis of multivariate longitudinal change, as it permits decomposition and directly interpretable estimates of association among initial levels, rates of change, and occasion-specific variation.


Author(s):  
Lionel Artige ◽  
Rosella Nicolini

This paper proposes an empirical analysis of the role of memory in determining the size of credits granted by the European Bank for Reconstruction and Development (EBRD) during 1991–2003. We first build an original database from information associated with the number and contract types granted by clients, after which we develop an empirical strategy for capturing the role of memory, namely by defining three different indicators to approximate each client’s reputation. These indicators rely on the client’s identity and, when available, information associated with previous EBRD-financed investment projects. With the fixed-effects estimation technique, our results unambiguously show that the value of the first investment project financed by the EBRD, as a proxy for reputation, is the most effective indicator for established clients to determine the size of the credits they receive to finance further investments.


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