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220928 ||| eng |
| 020 |
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|a 9781513529370
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| 100 |
1 |
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|a Dell'Ariccia, Giovanni
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| 245 |
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|a Discerning Good from Bad Credit Booms
|b The Role of Construction
|c Giovanni Dell'Ariccia, Ehsan Ebrahimy, Deniz Igan, Damien Puy
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| 260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2020
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| 300 |
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|a 36 pages
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| 651 |
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4 |
|a United States
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| 653 |
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|a Depository Institutions
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| 653 |
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|a Credit
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| 653 |
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|a Consumer credit
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| 653 |
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|a Real Estate
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| 653 |
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|a Banks
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| 653 |
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|a Labour; income economics
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| 653 |
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|a Employment; Economic theory
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| 653 |
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|a Monetary economics
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| 653 |
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|a Housing Supply and Markets
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| 653 |
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|a Monetary Policy, Central Banking, and the Supply of Money and Credit: General
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| 653 |
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|a Micro Finance Institutions
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| 653 |
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|a Aggregate Labor Productivity
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| 653 |
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|a Unemployment
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| 653 |
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|a Housing; Prices
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| 653 |
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|a Mortgages
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| 653 |
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|a Aggregate Human Capital
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| 653 |
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|a Money
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| 653 |
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|a Labor
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| 653 |
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|a Property & real estate
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| 653 |
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|a Cycles
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| 653 |
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|a Macroeconomics: Consumption, Saving, Production, Employment, and Investment: General (includes Measurement and Data)
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| 653 |
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|a Prices
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| 653 |
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|a Wages
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| 653 |
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|a Business Fluctuations
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| 653 |
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|a Credit booms
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| 653 |
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|a Intergenerational Income Distribution
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| 653 |
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|a Money and Monetary Policy
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| 653 |
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|a Housing prices
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| 653 |
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|a Employment
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| 653 |
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|a Financial Crises
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| 700 |
1 |
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|a Ebrahimy, Ehsan
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| 700 |
1 |
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|a Igan, Deniz
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| 700 |
1 |
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|a Puy, Damien
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b IMF
|a International Monetary Fund
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| 490 |
0 |
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|a Staff Discussion Notes
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| 028 |
5 |
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|a 10.5089/9781513529370.006
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| 856 |
4 |
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|u https://elibrary.imf.org/view/journals/006/2020/002/006.2020.issue-002-en.xml?cid=48616-com-dsp-marc
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 330
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| 520 |
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|a Credit booms are a focal point for policymakers and scholars of financial crises. Yet our understanding of how the real sector behaves during booms, and why some booms may go bad, is limited. Despite a large and growing body of literature, most of the work has focused on aggregate economic activity, and relatively little is known about which industries benefit and which suffer during these episodes. This note aims to fill this gap by analyzing disaggregated output and employment data in a large sample of advanced and emerging market economies between 1970 and 2014
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