How do policies influence GDP tail risks?:
This paper explores the relationship between policy settings and extreme positive and negative growth events, what we call GDP tail risks, using quantile regression methods. Conditioning on several country characteristics such as the size, stage of development and openness to trade as well as macroe...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2016
|
Schriftenreihe: | OECD Economics Department Working Papers
no.1339 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This paper explores the relationship between policy settings and extreme positive and negative growth events, what we call GDP tail risks, using quantile regression methods. Conditioning on several country characteristics such as the size, stage of development and openness to trade as well as macroeconomic policies, the following findings for a panel of mostly OECD countries emerge: First, countries with stronger banking supervision and capital market development, better quality of governance, higher foreign reserves and several labour market characteristics such as higher unemployment benefits and greater spending in active labour market policies tend to experience less severe negative growth shocks (negative tail risk). Second, greater use of macro-prudential tools is generally associated with less extreme positive growth shocks (positive tail risk) and lower average growth. Third, larger automatic stabilisers are associated with both less severe negative and positive growth shocks but also lower average growth. |
Beschreibung: | 1 Online-Ressource (44 p.) 21 x 29.7cm. |
DOI: | 10.1787/5jln0428l1wl-en |
Internformat
MARC
LEADER | 00000cam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-13-SOC-061315311 | ||
003 | DE-627-1 | ||
005 | 20231204121158.0 | ||
007 | cr uuu---uuuuu | ||
008 | 210204s2016 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1787/5jln0428l1wl-en |2 doi | |
035 | |a (DE-627-1)061315311 | ||
035 | |a (DE-599)KEP061315311 | ||
035 | |a (FR-PaOEC)5jln0428l1wl-en | ||
035 | |a (EBP)061315311 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
084 | |a C22 |2 jelc | ||
084 | |a F43 |2 jelc | ||
084 | |a E32 |2 jelc | ||
084 | |a E44 |2 jelc | ||
084 | |a F3 |2 jelc | ||
100 | 1 | |a Caldera Sánchez, Aida |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a How do policies influence GDP tail risks? |c Aida, Caldera Sánchez and Oliver, Röhn = Comment les politiques publiques influencent les risques extrêmes du PIB? / Aida, Caldera Sánchez et Oliver, Röhn |
246 | 3 | 3 | |a Comment les politiques publiques influencent les risques extrêmes du PIB? |
264 | 1 | |a Paris |b OECD Publishing |c 2016 | |
300 | |a 1 Online-Ressource (44 p.) |c 21 x 29.7cm. | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
490 | 0 | |a OECD Economics Department Working Papers |v no.1339 | |
520 | |a This paper explores the relationship between policy settings and extreme positive and negative growth events, what we call GDP tail risks, using quantile regression methods. Conditioning on several country characteristics such as the size, stage of development and openness to trade as well as macroeconomic policies, the following findings for a panel of mostly OECD countries emerge: First, countries with stronger banking supervision and capital market development, better quality of governance, higher foreign reserves and several labour market characteristics such as higher unemployment benefits and greater spending in active labour market policies tend to experience less severe negative growth shocks (negative tail risk). Second, greater use of macro-prudential tools is generally associated with less extreme positive growth shocks (positive tail risk) and lower average growth. Third, larger automatic stabilisers are associated with both less severe negative and positive growth shocks but also lower average growth. | ||
650 | 4 | |a Economics | |
700 | 1 | |a Röhn, Oliver |e MitwirkendeR |4 ctb | |
856 | 4 | 0 | |l FWS01 |p ZDB-13-SOC |q FWS_PDA_SOC |u https://doi.org/10.1787/5jln0428l1wl-en |3 Volltext |
912 | |a ZDB-13-SOC | ||
912 | |a ZDB-13-SOC | ||
951 | |a BO | ||
912 | |a ZDB-13-SOC | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-13-SOC-061315311 |
---|---|
_version_ | 1816797333415788544 |
adam_text | |
any_adam_object | |
author | Caldera Sánchez, Aida |
author2 | Röhn, Oliver |
author2_role | ctb |
author2_variant | o r or |
author_facet | Caldera Sánchez, Aida Röhn, Oliver |
author_role | aut |
author_sort | Caldera Sánchez, Aida |
author_variant | s a c sa sac |
building | Verbundindex |
bvnumber | localFWS |
collection | ZDB-13-SOC |
ctrlnum | (DE-627-1)061315311 (DE-599)KEP061315311 (FR-PaOEC)5jln0428l1wl-en (EBP)061315311 |
discipline | Wirtschaftswissenschaften |
doi_str_mv | 10.1787/5jln0428l1wl-en |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02483cam a22004212 4500</leader><controlfield tag="001">ZDB-13-SOC-061315311</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20231204121158.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210204s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/5jln0428l1wl-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)061315311</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP061315311</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(FR-PaOEC)5jln0428l1wl-en</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EBP)061315311</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">C22</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">F43</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">E32</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">E44</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">F3</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Caldera Sánchez, Aida</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">How do policies influence GDP tail risks?</subfield><subfield code="c">Aida, Caldera Sánchez and Oliver, Röhn = Comment les politiques publiques influencent les risques extrêmes du PIB? / Aida, Caldera Sánchez et Oliver, Röhn</subfield></datafield><datafield tag="246" ind1="3" ind2="3"><subfield code="a">Comment les politiques publiques influencent les risques extrêmes du PIB?</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (44 p.)</subfield><subfield code="c">21 x 29.7cm.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">OECD Economics Department Working Papers</subfield><subfield code="v">no.1339</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper explores the relationship between policy settings and extreme positive and negative growth events, what we call GDP tail risks, using quantile regression methods. Conditioning on several country characteristics such as the size, stage of development and openness to trade as well as macroeconomic policies, the following findings for a panel of mostly OECD countries emerge: First, countries with stronger banking supervision and capital market development, better quality of governance, higher foreign reserves and several labour market characteristics such as higher unemployment benefits and greater spending in active labour market policies tend to experience less severe negative growth shocks (negative tail risk). Second, greater use of macro-prudential tools is generally associated with less extreme positive growth shocks (positive tail risk) and lower average growth. Third, larger automatic stabilisers are associated with both less severe negative and positive growth shocks but also lower average growth.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Röhn, Oliver</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-13-SOC</subfield><subfield code="q">FWS_PDA_SOC</subfield><subfield code="u">https://doi.org/10.1787/5jln0428l1wl-en</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
id | ZDB-13-SOC-061315311 |
illustrated | Not Illustrated |
indexdate | 2024-11-26T14:55:54Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-863 DE-BY-FWS |
owner_facet | DE-863 DE-BY-FWS |
physical | 1 Online-Ressource (44 p.) 21 x 29.7cm. |
psigel | ZDB-13-SOC |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | OECD Publishing |
record_format | marc |
series2 | OECD Economics Department Working Papers |
spelling | Caldera Sánchez, Aida VerfasserIn aut How do policies influence GDP tail risks? Aida, Caldera Sánchez and Oliver, Röhn = Comment les politiques publiques influencent les risques extrêmes du PIB? / Aida, Caldera Sánchez et Oliver, Röhn Comment les politiques publiques influencent les risques extrêmes du PIB? Paris OECD Publishing 2016 1 Online-Ressource (44 p.) 21 x 29.7cm. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Economics Department Working Papers no.1339 This paper explores the relationship between policy settings and extreme positive and negative growth events, what we call GDP tail risks, using quantile regression methods. Conditioning on several country characteristics such as the size, stage of development and openness to trade as well as macroeconomic policies, the following findings for a panel of mostly OECD countries emerge: First, countries with stronger banking supervision and capital market development, better quality of governance, higher foreign reserves and several labour market characteristics such as higher unemployment benefits and greater spending in active labour market policies tend to experience less severe negative growth shocks (negative tail risk). Second, greater use of macro-prudential tools is generally associated with less extreme positive growth shocks (positive tail risk) and lower average growth. Third, larger automatic stabilisers are associated with both less severe negative and positive growth shocks but also lower average growth. Economics Röhn, Oliver MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/5jln0428l1wl-en Volltext |
spellingShingle | Caldera Sánchez, Aida How do policies influence GDP tail risks? Economics |
title | How do policies influence GDP tail risks? |
title_alt | Comment les politiques publiques influencent les risques extrêmes du PIB? |
title_auth | How do policies influence GDP tail risks? |
title_exact_search | How do policies influence GDP tail risks? |
title_full | How do policies influence GDP tail risks? Aida, Caldera Sánchez and Oliver, Röhn = Comment les politiques publiques influencent les risques extrêmes du PIB? / Aida, Caldera Sánchez et Oliver, Röhn |
title_fullStr | How do policies influence GDP tail risks? Aida, Caldera Sánchez and Oliver, Röhn = Comment les politiques publiques influencent les risques extrêmes du PIB? / Aida, Caldera Sánchez et Oliver, Röhn |
title_full_unstemmed | How do policies influence GDP tail risks? Aida, Caldera Sánchez and Oliver, Röhn = Comment les politiques publiques influencent les risques extrêmes du PIB? / Aida, Caldera Sánchez et Oliver, Röhn |
title_short | How do policies influence GDP tail risks? |
title_sort | how do policies influence gdp tail risks |
topic | Economics |
topic_facet | Economics |
url | https://doi.org/10.1787/5jln0428l1wl-en |
work_keys_str_mv | AT calderasanchezaida howdopoliciesinfluencegdptailrisks AT rohnoliver howdopoliciesinfluencegdptailrisks AT calderasanchezaida commentlespolitiquespubliquesinfluencentlesrisquesextremesdupib AT rohnoliver commentlespolitiquespubliquesinfluencentlesrisquesextremesdupib |