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AbstractUsing the Baker et al. (2013) index of policy uncertainty for six developed countries, this paper estimates spillovers of policy uncertainty. We find that spillovers account for slightly more than one-fourth of the dynamics of policy uncertainty in these countries, with this share rising to one-half during the financial crisis. The United States and United Kingdom are responsible for a large fraction of the spillovers since the financial crisis, while Canada and the remaining countries are all net receivers of policy uncertainty shocks during and after this period.
JEL classification: C3, D80, F42 Bank classification: Econometric and statistical methods
RésuméÀ l'aide de l'indice d'incertitude sur la politique économique établi par Baker et autres (2013), les auteurs estiment les retombées de l'incertitude au sujet de la politique économique dans le cas de six pays développés. Ils constatent que ces effets d'entraînement contribuent pour un peu plus du quart à la dynamique de l'incertitude sur la politique économique dans ces pays, proportion qui a grimpé à 50 % durant la crise financière. Depuis cette dernière, une grande part des retombées de l'incertitude émanent des États-Unis et du Royaume-Uni. Quant au Canada et aux autres pays, ils ont surtout subi les chocs d'incertitude liés à la politique économique pendant et après cette période.
We study a dynamic model of opinion formation in social networks. In our model, boundedly rational agents update opinions by averaging over their neighbors' expressed opinions, but may misrepresent their own opinion by conforming or counter-conforming with their neighbors. We show that an agent's social influence on the long-run group opinion is increasing in network centrality and decreasing in conformity. For efficiency of information aggregation ("wisdom"), misrepresentation of opinions need not undermine wisdom. Given the network, we provide the optimal distribution of conformity levels in the society and show which agents should be more conforming in order to increase wisdom.
Recently, Abadie et al. (Am J Polit Sci 59:495–510, 2015) have expanded synthetic control methods by the so-called cross-validation technique. We find that their results are not being reproduced when alternative software packages are used or when the variables’ ordering within the dataset is changed. We show that this failure stems from the cross-validation technique relying on non-uniquely defined predictor weights. While the amount of the resulting ambiguity is negligible for the main application of Abadie et al. (Am J Polit Sci 59:495–510, 2015), we find it to be substantial for several of their robustness analyses. Applying well-defined, standard synthetic control methods reveals that the authors’ results are particularly driven by a specific control country, the USA.
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