Normal view MARC view ISBD view

Policy uncertainty and information flows evidence from pension reform expectations Emanuele Ciani, Adeline Delavande, Ben Etheridge and Marco Francesconi

Contributor(s): Ciani, Emanuele.
Material type: ArticleArticleSubject(s): PENSIONES | REFORMA | POLITICA SOCIAL | PRESTACIONES SOCIALES In: The Economic Journal v. 133, n. 649, January 2023, p. 98-129Summary: We examine how workers' expectations about pension reform vary with proximity to reforms, information availability and worker characteristics. Using newly collected data, we find that (1) expectations about reform are revised upward by about 10 percentage points in the year prior to a reform, from a median of 50%, regardless of whether the reform is announced; (2) expectations increase more the stronger the media activity about imminent reforms; (3) the effect of information on expectations varies systematically with characteristics that proxy cognitive ability and information value; (4) expectations do not converge as a result of reform announcements or implementations.
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)

Resumen.

Bibliografía.

We examine how workers' expectations about pension reform vary with proximity to reforms, information availability and worker characteristics. Using newly collected data, we find that (1) expectations about reform are revised upward by about 10 percentage points in the year prior to a reform, from a median of 50%, regardless of whether the reform is announced; (2) expectations increase more the stronger the media activity about imminent reforms; (3) the effect of information on expectations varies systematically with characteristics that proxy cognitive ability and information value; (4) expectations do not converge as a result of reform announcements or implementations.

There are no comments for this item.

Log in to your account to post a comment.

Click on an image to view it in the image viewer

Powered by Koha