Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
Dear colleagues, Does anyone know if are there any development on “State-Dependent Panel Data Models”? They are also labeled as conditional pooled mean group (CPMG) state-dependent panel Model. See for instance Binder & Georgiadis (2011) CESIFO WORKING PAPER NO. 3397. They are basically dynamic panel estimates where the slope of both the lagged endogenous variable and the covariates depend on pre-determined conditioning state variable: … “In this framework featuring conditional or
state-dependent long-run homogeneity, all transitional dynamics are fully country-specific, and the long-run dynamics are homogeneous only for countries sharing the same conditioning states.” Regards Vicente Royuela
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
st: State-Dependent Panel Data Models
From
VICENTE ROYUELA MORA <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: State-Dependent Panel Data Models
Date
Mon, 04 Mar 2013 14:48:59 +0000
Aquest correu electrònic i els annexos poden contenir informació confidencial o protegida legalment i està adreçat exclusivament a la persona o entitat destinatària. Si no sou el destinatari final o la persona encarregada
de rebre’l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si heu rebut aquest correu electrònic per error, us preguem que n’informeu al remitent i que elimineu del sistema el missatge i el
material annex que pugui contenir. Gràcies per la vostra col·laboració.
Este correo electrónico y sus anexos pueden contener información confidencial o legalmente protegida y está exclusivamente dirigido a la persona o entidad destinataria. Si usted no es el destinatario final o la persona encargada de recibirlo, no está autorizado
a leerlo, retenerlo, modificarlo, distribuirlo, copiarlo ni a revelar su contenido. Si ha recibido este mensaje electrónico por error, le rogamos que informe al remitente y elimine del sistema el mensaje y el material anexo que pueda contener. Gracias por
su colaboración.
This email message and any documents attached to it may contain confidential or legally protected material and are intended solely for the use of the individual or organization to whom they are addressed. We remind you that if you are not the intended recipient
of this email message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any of its contents. If you have received this email message by mistake, we kindly ask you to inform the sender of
this and to eliminate both the message and any attachments it carries from your account. Thank you for your collaboration.