The dissent voting behaviour of central bankers: what do we really know?

Horváth, Roman; Rusnák, Marek; Šmídková, Kateřina; Zápal, Jan

doi:10.1080/00036846.2013.851775

Cited by 17 publications

(11 citation statements)

References 35 publications

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“…It also includes a graphical representation of the model space via an image plot. The flexibility and user-friendliness of the package is proved by the fact that various studies have used package BMS to perform Bayesian model averaging (among others, see Giannone, Lenza, and Reichlin 2011;Horváth 2011;Amini and Parmeter 2012;Babecký, Havránek, Matěju, Rusnák,Šmídková, and Vašíček 2013;Horváth 2013;Iršová and Havránek 2013;Feldkircher 2014;Feldkircher, Horváth, and Rusnák 2014;Horváth, Rusnák,Šmídková, and Zapal 2014). Future versions of BMS might include spatial regression models (Crespo Cuaresma and Feldkircher 2013;Crespo Cuaresma, Doppelhofer, and Feldkircher 2014), model averaging based on the predictive likelihood (Eklund and Karlsson 2007;Feldkircher 2012), so-called "heredity priors" to handle related predictors (Chipman 1996) and dilution priors that penalize models which contain highly collinear regressors (George 2010).…”

Section: Discussionmentioning

confidence: 99%

Bayesian Model Averaging Employing Fixed and Flexible Priors: TheBMSPackage forR

Zeugner¹,

Feldkircher²

2015

J. Stat. Soft.

174

164

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This article describes the BMS (Bayesian model sampling) package for R that implements Bayesian model averaging for linear regression models. The package excels in allowing for a variety of prior structures, among them the "binomial-beta" prior on the model space and the so-called "hyper-g" specifications for Zellner's g prior. Furthermore, the BMS package allows the user to specify her own model priors and offers a possibility of subjective inference by setting "prior inclusion probabilities" according to the researcher's beliefs. Furthermore, graphical analysis of results is provided by numerous built-in plot functions of posterior densities, predictive densities and graphical illustrations to compare results under different prior settings. Finally, the package provides full enumeration of the model space for small scale problems as well as two efficient MCMC (Markov chain Monte Carlo) samplers that sort through the model space when the number of potential covariates is large.

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Section: Discussionmentioning

confidence: 99%

Bayesian Model Averaging Employing Fixed and Flexible Priors: TheBMSPackage forR

Zeugner¹,

Feldkircher²

2015

J. Stat. Soft.

174

164

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“…In several cases, when schools had previous experience with researchers, headmasters did not ask for parental consent for this particular project. 6 The experiments took place in schools and kindergartens during usual school days, to mimic an environment natural for this 5 In practice, children selected the items in the experimental shop for future rewards immediately after the experiments, we placed them into a new paper bag with a name and date written on it, and gave the bag to a school teacher who promised to distribute the bags on respective days. This procedure was explained before making choices in the experiment.…”

Section: Sample and Non-experimental Datamentioning

confidence: 99%

Parental background and other-regarding preferences in children

2013

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: Other-regarding preferences are important for establishing and maintaining cooperative outcomes. In this paper, we study how formation of other-regarding preferences during childhood is affected by parental background. Our subjects, aged 4-12 years, are classified into other-regarding types based on simple binary choice dictator games. The main finding is that children of parents with low education are more spiteful, more selfish and less altruistic. This link is robust to controlling for a rich set of child characteristics and class fixed effects. The parental effects stand out against the overall development of preferences, as we find children to become less spiteful and more altruistic with increasing age. Our findings, complemented by an analysis of the World Values Survey data, suggest that low socio-economic status affects parental effort invested in instilling other-regarding preferences into children, making them less likely to acquire cooperative types of preferences. Terms of use: Documents in

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“…5 Result not shown. 6 The concern that the effect of water source quality on kids' preferences may simply capture a correlation between parents and children's preferences is mitigated by the fact that we do not observe a significant correlation between parents and children's experimental choices in any of the four games.…”

Section: Discussionmentioning

confidence: 99%

“…These results are statistically significant and are stronger for boys than for girls. 5 The coefficient of the in-group treatment dummy, while not significant in any of the regressions, indicates a slight increase in both types of inequality aversion that we measure, ahead and behind aversion. Children in the in-group treatment are more likely to choose the pro-social and sharing options.…”

Section: Discussionmentioning

confidence: 99%

Social Preferences and Environmental Quality: Evidence from School Children in Sierra Leone

d’Adda

Levely

2015

J Afr Econ

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: Terms of use: Documents inIn this paper we examine the effects that variations in the quality of the environment at birth have on children's other-regarding preferences, as measured through four binarychoice dictator games run with school-age children in rural Sierra Leone. We examine the effect of exogenous variations in rainfall level by location and year on children's social preferences. We also study how age at which children had access to improved water sources, such as protected wells, correlates with preferences. Children born within a healthier environment are more generous, when generosity comes at no personal cost, more likely to choose socially efficient allocations and less averse to advantageous inequality. The correlation between rainfall shocks at birth and children's height-for-age suggest that environmental quality affects preferences through its impact on health. We find that proxies for early childhood health affect experimental outcomes in a similar way as age, which helps to explain the process by which individuals develop social preferences. No significant relationship is found in our data between environmental quality and educational outcomes, such as school attendance and grades.

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The dissent voting behaviour of central bankers: what do we really know?

Cited by 17 publications

References 35 publications

Bayesian Model Averaging Employing Fixed and Flexible Priors: TheBMSPackage forR

Bayesian Model Averaging Employing Fixed and Flexible Priors: TheBMSPackage forR

Parental background and other-regarding preferences in children

Social Preferences and Environmental Quality: Evidence from School Children in Sierra Leone

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