Business cycle dynamics: A bottom-up approach with Markov-chain measurement
Business cycle dynamics can be seen as footprints left by individual decision makers. Tracing those footprints we offer a novel, largely model independent and exogenous measure of the business cycle dynamics. This measure also, allows for distinguishing positive and negative shocks without prior est...
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Paris
OECD Publishing
2015
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| Subjects: | |
| Links: | https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b |
| Summary: | Business cycle dynamics can be seen as footprints left by individual decision makers. Tracing those footprints we offer a novel, largely model independent and exogenous measure of the business cycle dynamics. This measure also, allows for distinguishing positive and negative shocks without prior estimation. Utilizing more than twentythousand observations of firms surveyed quarterly in the periods (1999-2006), we employ a Markov-chain approach combined with conventional time series econometrics for gauging the dynamics of business cycles. Since we start the analysis with firm level data we label our method the "bottom-up approach" |
| Physical Description: | 1 Online-Ressource (21 Seiten) 21 x 28cm |
| DOI: | 10.1787/jbcma-2015-5jrs0lv6xs7b |
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| spelling | Müller, Christian Verfasser aut Business cycle dynamics A bottom-up approach with Markov-chain measurement Christian Müller and Eva Köberl Paris OECD Publishing 2015 1 Online-Ressource (21 Seiten) 21 x 28cm txt rdacontent c rdamedia cr rdacarrier Business cycle dynamics can be seen as footprints left by individual decision makers. Tracing those footprints we offer a novel, largely model independent and exogenous measure of the business cycle dynamics. This measure also, allows for distinguishing positive and negative shocks without prior estimation. Utilizing more than twentythousand observations of firms surveyed quarterly in the periods (1999-2006), we employ a Markov-chain approach combined with conventional time series econometrics for gauging the dynamics of business cycles. Since we start the analysis with firm level data we label our method the "bottom-up approach" Economics Köberl, Eva ctb https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Müller, Christian Business cycle dynamics A bottom-up approach with Markov-chain measurement Economics |
| title | Business cycle dynamics A bottom-up approach with Markov-chain measurement |
| title_auth | Business cycle dynamics A bottom-up approach with Markov-chain measurement |
| title_exact_search | Business cycle dynamics A bottom-up approach with Markov-chain measurement |
| title_full | Business cycle dynamics A bottom-up approach with Markov-chain measurement Christian Müller and Eva Köberl |
| title_fullStr | Business cycle dynamics A bottom-up approach with Markov-chain measurement Christian Müller and Eva Köberl |
| title_full_unstemmed | Business cycle dynamics A bottom-up approach with Markov-chain measurement Christian Müller and Eva Köberl |
| title_short | Business cycle dynamics |
| title_sort | business cycle dynamics a bottom up approach with markov chain measurement |
| title_sub | A bottom-up approach with Markov-chain measurement |
| topic | Economics |
| topic_facet | Economics |
| url | https://doi.org/10.1787/jbcma-2015-5jrs0lv6xs7b |
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