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Taking Multi-Sector Dynamic General Equilibrium Models to the Data

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Abstract
We estimate and compare two models, the Generalized Taylor Economy (GTE) and the Multiple Calvo model (MC), that have been built to model the distributions of contract lengths observed in the data. We compare the performances of these models to those of the standard models such as the Calvo and its popular variant, using the ad hoc device of indexation. The estimations are made with Bayesian techniques for the US data. The results indicate that the data strongly favour the GTE.

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  • Dixon, Huw David & Kara, Engin, 2012. "Taking Multi-Sector Dynamic General Equilibrium Models to the Data," Cardiff Economics Working Papers E2012/8, Cardiff University, Cardiff Business School, Economics Section.
    • Handle: RePEc:cdf:wpaper:2012/8
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    Cited by:

    1. Vo Le & David Meenagh & Patrick Minford & Zhirong Ou, 2013. "What Causes Banking Crises? An Empirical Investigation for the World Economy," Open Economies Review, Springer, vol. 24(4), pages 581-611, September.
    2. Li Dai & Patrick Minford & Peng Zhou, 2015. "A DSGE model of China," Applied Economics, Taylor & Francis Journals, vol. 47(59), pages 6438-6460, December.
    3. Peng Zhou & Huw Dixon, 2019. "The Determinants of Price Rigidity in the UK: Analysis of the CPI and PPI Microdata and Application to Macrodata Modelling," Manchester School, University of Manchester, vol. 87(5), pages 640-677, September.

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    More about this item

    Keywords

    DSGE models; Calvo; Taylor; price-setting;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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