The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractWe study optimal policy in a New Keynesian model at zero bound interest rate where households use cash alongside house equity borrowing to conduct transactions. The amount of borrowing is limited by a collateral constraint. When either the loan to value ratio declines or house prices fall, we observe a decrease in the money multiplier. We argue that the central bank should respond to the fall in the money multiplier and therefore to the reduction in house prices or the loan to collateral value ratio. We also find that optimal monetary policy generates a large and persistent fall in the money multiplier in response to the drop in the loan to collateral value ratio.
We consider a New-Keynesian model with financial and labor market frictions where firms borrowing is limited by the enforcement constraint. The wage is set in a bargaining process where the firm's shareholder and worker share the production surplus. As debt service is considered to be a part of production costs, firms borrow to reduce the surplus which allows to lower the wage. We study the model's response to financial shock under two Taylor-type interest rate rules: first one responds to inflation and borrowing, second one to inflation and unemployment. We have found that the second rule delivers better policy in terms of the welfare measure. Additionally, we show that the feedback on unemployment in this rule depends on the extent of workers' bargaining power.
Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in Economics Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be re ected in this document. Changes may have been made to this work since it was submitted for publication. A de nitive version was subsequently published in Economics Letters, 130, May 2015, 10.1016/j.econlet.2015.03.011. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. University of Exeter February 2015AbstractIn this paper, we consider a model where producers set their prices based on their prediction of the aggregated price level and an exogenous variable, which can be a demand or a cost-push shock. To form their expectations, they use OLS-type econometric learning with bounded memory. We show that the aggregated price follows the random coe¢ cient autoregressive process and we prove that this process is covariance stationary.
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