Juan J. Dolado
CEMFI
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Featured researches published by Juan J. Dolado.
Econometric Reviews | 1996
Juan J. Dolado; Helmut Lütkepohl
Wald tests of restrictions on the coefficients of vector autoregressive (VAR) processes are known to have nonstandard asymptotic properties for 1(1) and cointegrated systems of variables. A simple device is proposed which guarantees that Wald tests have asymptotic X2-distributions under general conditions. If the true generation process is a VAR(p) it is proposed to fit a VAR(p+l) to the data and perform a Wald test on the coefficients of the first p lags only. The power properties of the modified tests are studied both analytically and numerically by means of simple illustrative examples.
Journal of Economics and Management Strategy | 1996
A. Jorge Padilla; Samuel Bentolila; Juan J. Dolado
Archive | 1993
Samuel Bentolila; Juan J. Dolado
Documentos de trabajo ( FEDEA ) | 2010
Samuel Bentolila; Pierre Cahuc; Juan J. Dolado; Thomas Le Barbanchon
Archive | 2013
Juan J. Dolado; Marcel Jansen; Florentino Felgueroso; Andrés Fuentes Hutfilter; Anita Wölfl
Archive | 2002
Juan J. Dolado; Tito Boeri; Giuseppe Bertola; Herbert Brücker; Fabrizio Coricelli; John Fitzgerald; Angel de la Fuente; Pietro Garibaldi; Gordon H. Hanson; Juan F. Jimeno; Richard Portes; Gilles Saint-Paul; Antonio Spilimbergo
Archive | 2002
Juan J. Dolado; Marcel Jansen; Juan F. Jimeno; Documento De Trabajo; Carlos Iii de Madrid
Archive | 2004
César Alonso-Borrego; Alfonso Arellano; Juan J. Dolado; Juan F. Jimeno
Archive | 2003
Juan J. Dolado; Marcel Jansen
Archive | 2011
Stefan Gerlach Laura Moretti; Stefan Gerlach; Johann Wolfgang; Alberto Alesina; Richard Baldwin; Erik Berglöf; Giuseppe Bertola; Olivier J. Blanchard; Tito Boeri; Willem H. Buiter; Michael Burda; Stephen G Cecchetti; Daniel Cohen; Juan J. Dolado; Esther Duflo; Barry Eichengreen; Jeffrey A. Frankel; Francesco Giavazzi; Rachel Griffith; Philip R. Lane; Philippe Martin; Richard Portes; Carmen M Reinhart; Anne Sibert; Guido Tabellini; Shang-Jin Wei; Charles Wyplosz