Inference on Filtered and Smoothed Probabilities in Markov-Switching Autoregressive Models Article Swipe
Rocio Alvarez
,
Máximo Camacho
,
Manuel Ruiz Marín
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1080/07350015.2017.1380032
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1080/07350015.2017.1380032
We derive a statistical theory that provides useful asymptotic approximations to the distributions of the single inferences of filtered and smoothed probabilities, derived from time series characterized by Markov-switching dynamics. We show that the uncertainty in these probabilities diminishes when the states are separated, the variance of the shocks is low, and the time series or the regimes are persistent. As empirical illustrations of our approach, we analyze the U.S. GDP growth rates and the U.S. real interest rates. For both models, we illustrate the usefulness of the confidence intervals when identifying the business cycle phases and the interest rate regimes.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/07350015.2017.1380032
- OA Status
- green
- Cited By
- 11
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2757848102
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2757848102Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1080/07350015.2017.1380032Digital Object Identifier
- Title
-
Inference on Filtered and Smoothed Probabilities in Markov-Switching Autoregressive ModelsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-09-25Full publication date if available
- Authors
-
Rocio Alvarez, Máximo Camacho, Manuel Ruiz MarínList of authors in order
- Landing page
-
https://doi.org/10.1080/07350015.2017.1380032Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.tandfonline.com/doi/full/10.1080/07350015.2017.1380032Direct OA link when available
- Concepts
-
Autoregressive model, Series (stratigraphy), Econometrics, Markov chain, Mathematics, Inference, Statistical inference, Variance (accounting), Statistics, Applied mathematics, Computer science, Economics, Artificial intelligence, Biology, Paleontology, AccountingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 3, 2022: 2, 2020: 3Per-year citation counts (last 5 years)
- References (count)
-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2757848102 |
|---|---|
| doi | https://doi.org/10.1080/07350015.2017.1380032 |
| ids.doi | https://doi.org/10.1080/07350015.2017.1380032 |
| ids.mag | 2757848102 |
| ids.openalex | https://openalex.org/W2757848102 |
| fwci | 2.1669425 |
| type | article |
| title | Inference on Filtered and Smoothed Probabilities in Markov-Switching Autoregressive Models |
| biblio.issue | 3 |
| biblio.volume | 37 |
| biblio.last_page | 495 |
| biblio.first_page | 484 |
| topics[0].id | https://openalex.org/T10007 |
| topics[0].field.id | https://openalex.org/fields/20 |
| topics[0].field.display_name | Economics, Econometrics and Finance |
| topics[0].score | 0.9976999759674072 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2000 |
| topics[0].subfield.display_name | General Economics, Econometrics and Finance |
| topics[0].display_name | Monetary Policy and Economic Impact |
| topics[1].id | https://openalex.org/T10282 |
| topics[1].field.id | https://openalex.org/fields/20 |
| topics[1].field.display_name | Economics, Econometrics and Finance |
| topics[1].score | 0.9940999746322632 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2003 |
| topics[1].subfield.display_name | Finance |
| topics[1].display_name | Financial Risk and Volatility Modeling |
| topics[2].id | https://openalex.org/T10067 |
| topics[2].field.id | https://openalex.org/fields/20 |
| topics[2].field.display_name | Economics, Econometrics and Finance |
| topics[2].score | 0.9883000254631042 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2003 |
| topics[2].subfield.display_name | Finance |
| topics[2].display_name | Stochastic processes and financial applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C159877910 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7171484231948853 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2202883 |
| concepts[0].display_name | Autoregressive model |
| concepts[1].id | https://openalex.org/C143724316 |
| concepts[1].level | 2 |
| concepts[1].score | 0.652897834777832 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q312468 |
| concepts[1].display_name | Series (stratigraphy) |
| concepts[2].id | https://openalex.org/C149782125 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6474058032035828 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[2].display_name | Econometrics |
| concepts[3].id | https://openalex.org/C98763669 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6188017725944519 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q176645 |
| concepts[3].display_name | Markov chain |
| concepts[4].id | https://openalex.org/C33923547 |
| concepts[4].level | 0 |
| concepts[4].score | 0.5801994204521179 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[4].display_name | Mathematics |
| concepts[5].id | https://openalex.org/C2776214188 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5752958059310913 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q408386 |
| concepts[5].display_name | Inference |
| concepts[6].id | https://openalex.org/C134261354 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5520183444023132 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q938438 |
| concepts[6].display_name | Statistical inference |
| concepts[7].id | https://openalex.org/C196083921 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4622511565685272 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7915758 |
| concepts[7].display_name | Variance (accounting) |
| concepts[8].id | https://openalex.org/C105795698 |
| concepts[8].level | 1 |
| concepts[8].score | 0.4196997582912445 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[8].display_name | Statistics |
| concepts[9].id | https://openalex.org/C28826006 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3919840455055237 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q33521 |
| concepts[9].display_name | Applied mathematics |
| concepts[10].id | https://openalex.org/C41008148 |
| concepts[10].level | 0 |
| concepts[10].score | 0.237934410572052 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[10].display_name | Computer science |
| concepts[11].id | https://openalex.org/C162324750 |
| concepts[11].level | 0 |
| concepts[11].score | 0.1900680959224701 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[11].display_name | Economics |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C86803240 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[13].display_name | Biology |
| concepts[14].id | https://openalex.org/C151730666 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[14].display_name | Paleontology |
| concepts[15].id | https://openalex.org/C121955636 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q4116214 |
| concepts[15].display_name | Accounting |
| keywords[0].id | https://openalex.org/keywords/autoregressive-model |
| keywords[0].score | 0.7171484231948853 |
| keywords[0].display_name | Autoregressive model |
| keywords[1].id | https://openalex.org/keywords/series |
| keywords[1].score | 0.652897834777832 |
| keywords[1].display_name | Series (stratigraphy) |
| keywords[2].id | https://openalex.org/keywords/econometrics |
| keywords[2].score | 0.6474058032035828 |
| keywords[2].display_name | Econometrics |
| keywords[3].id | https://openalex.org/keywords/markov-chain |
| keywords[3].score | 0.6188017725944519 |
| keywords[3].display_name | Markov chain |
| keywords[4].id | https://openalex.org/keywords/mathematics |
| keywords[4].score | 0.5801994204521179 |
| keywords[4].display_name | Mathematics |
| keywords[5].id | https://openalex.org/keywords/inference |
| keywords[5].score | 0.5752958059310913 |
| keywords[5].display_name | Inference |
| keywords[6].id | https://openalex.org/keywords/statistical-inference |
| keywords[6].score | 0.5520183444023132 |
| keywords[6].display_name | Statistical inference |
| keywords[7].id | https://openalex.org/keywords/variance |
| keywords[7].score | 0.4622511565685272 |
| keywords[7].display_name | Variance (accounting) |
| keywords[8].id | https://openalex.org/keywords/statistics |
| keywords[8].score | 0.4196997582912445 |
| keywords[8].display_name | Statistics |
| keywords[9].id | https://openalex.org/keywords/applied-mathematics |
| keywords[9].score | 0.3919840455055237 |
| keywords[9].display_name | Applied mathematics |
| keywords[10].id | https://openalex.org/keywords/computer-science |
| keywords[10].score | 0.237934410572052 |
| keywords[10].display_name | Computer science |
| keywords[11].id | https://openalex.org/keywords/economics |
| keywords[11].score | 0.1900680959224701 |
| keywords[11].display_name | Economics |
| language | en |
| locations[0].id | doi:10.1080/07350015.2017.1380032 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S18095783 |
| locations[0].source.issn | 0735-0015, 1537-2707 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0735-0015 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Business and Economic Statistics |
| locations[0].source.host_organization | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_name | Taylor & Francis |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_lineage_names | Taylor & Francis |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Business & Economic Statistics |
| locations[0].landing_page_url | https://doi.org/10.1080/07350015.2017.1380032 |
| locations[1].id | pmh:oai:RePEc:taf:jnlbes:v:37:y:2019:i:3:p:484-495 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401271 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | RePEc: Research Papers in Economics |
| locations[1].source.host_organization | https://openalex.org/I77793887 |
| locations[1].source.host_organization_name | Federal Reserve Bank of St. Louis |
| locations[1].source.host_organization_lineage | https://openalex.org/I77793887 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://hdl.handle.net/10.1080/07350015.2017.1380032 |
| locations[2].id | pmh:oai:repositorio.upct.es:10317/13177 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401372 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Digital Repository (Polytechnic University of Cartagena) |
| locations[2].source.host_organization | https://openalex.org/I3123212020 |
| locations[2].source.host_organization_name | Universidad Politécnica de Cartagena |
| locations[2].source.host_organization_lineage | https://openalex.org/I3123212020 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | info:eu-repo/semantics/article |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://www.tandfonline.com/doi/full/10.1080/07350015.2017.1380032 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5027875416 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-5882-5046 |
| authorships[0].author.display_name | Rocio Alvarez |
| authorships[0].countries | CL |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210156023 |
| authorships[0].affiliations[0].raw_affiliation_string | Facultad de Economía y Negocios, Universidad Central de Chile, Santiago, Región Metropolitana, Chile () |
| authorships[0].institutions[0].id | https://openalex.org/I4210156023 |
| authorships[0].institutions[0].ror | https://ror.org/0577avk88 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210156023 |
| authorships[0].institutions[0].country_code | CL |
| authorships[0].institutions[0].display_name | Universidad Central de Chile |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Rocio Alvarez |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Facultad de Economía y Negocios, Universidad Central de Chile, Santiago, Región Metropolitana, Chile () |
| authorships[1].author.id | https://openalex.org/A5007642991 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3158-5614 |
| authorships[1].author.display_name | Máximo Camacho |
| authorships[1].countries | ES |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I80180929 |
| authorships[1].affiliations[0].raw_affiliation_string | Departamento de Métodos Cuantítativos para la Economía y la Empresa, Facultad de Economia y Empresa, Universidad de Murcia, 30100 Murcia, Spain () |
| authorships[1].institutions[0].id | https://openalex.org/I80180929 |
| authorships[1].institutions[0].ror | https://ror.org/03p3aeb86 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I80180929 |
| authorships[1].institutions[0].country_code | ES |
| authorships[1].institutions[0].display_name | Universidad de Murcia |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Maximo Camacho |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Departamento de Métodos Cuantítativos para la Economía y la Empresa, Facultad de Economia y Empresa, Universidad de Murcia, 30100 Murcia, Spain () |
| authorships[2].author.id | https://openalex.org/A5017372244 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9228-6410 |
| authorships[2].author.display_name | Manuel Ruiz Marín |
| authorships[2].countries | ES |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I3123212020 |
| authorships[2].affiliations[0].raw_affiliation_string | Departamento de Métodos Cuantítativos e Informáticos, Facultad de Ciencias de la Empresa, Universidad Politécnica de Cartagena, 30202 Cartagena, Murcia, Spain () |
| authorships[2].institutions[0].id | https://openalex.org/I3123212020 |
| authorships[2].institutions[0].ror | https://ror.org/02k5kx966 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I3123212020 |
| authorships[2].institutions[0].country_code | ES |
| authorships[2].institutions[0].display_name | Universidad Politécnica de Cartagena |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Manuel Ruiz |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Departamento de Métodos Cuantítativos e Informáticos, Facultad de Ciencias de la Empresa, Universidad Politécnica de Cartagena, 30202 Cartagena, Murcia, Spain () |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.tandfonline.com/doi/full/10.1080/07350015.2017.1380032 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Inference on Filtered and Smoothed Probabilities in Markov-Switching Autoregressive Models |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10007 |
| primary_topic.field.id | https://openalex.org/fields/20 |
| primary_topic.field.display_name | Economics, Econometrics and Finance |
| primary_topic.score | 0.9976999759674072 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2000 |
| primary_topic.subfield.display_name | General Economics, Econometrics and Finance |
| primary_topic.display_name | Monetary Policy and Economic Impact |
| related_works | https://openalex.org/W2171218219, https://openalex.org/W1972271943, https://openalex.org/W2150410159, https://openalex.org/W3150905897, https://openalex.org/W4327525404, https://openalex.org/W137830373, https://openalex.org/W3000984192, https://openalex.org/W4286952477, https://openalex.org/W4321348134, https://openalex.org/W2103073163 |
| cited_by_count | 11 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 3 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 2 |
| counts_by_year[4].year | 2020 |
| counts_by_year[4].cited_by_count | 3 |
| counts_by_year[5].year | 2019 |
| counts_by_year[5].cited_by_count | 1 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:repositorio.upct.es:10317/13177 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306401372 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Digital Repository (Polytechnic University of Cartagena) |
| best_oa_location.source.host_organization | https://openalex.org/I3123212020 |
| best_oa_location.source.host_organization_name | Universidad Politécnica de Cartagena |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I3123212020 |
| best_oa_location.license | other-oa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | info:eu-repo/semantics/article |
| best_oa_location.license_id | https://openalex.org/licenses/other-oa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://www.tandfonline.com/doi/full/10.1080/07350015.2017.1380032 |
| primary_location.id | doi:10.1080/07350015.2017.1380032 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S18095783 |
| primary_location.source.issn | 0735-0015, 1537-2707 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0735-0015 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Business and Economic Statistics |
| primary_location.source.host_organization | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_name | Taylor & Francis |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_lineage_names | Taylor & Francis |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Business & Economic Statistics |
| primary_location.landing_page_url | https://doi.org/10.1080/07350015.2017.1380032 |
| publication_date | 2017-09-25 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W3122420083, https://openalex.org/W1968668741, https://openalex.org/W3121375642, https://openalex.org/W1487998535, https://openalex.org/W1595852061, https://openalex.org/W2073162999, https://openalex.org/W2121090287, https://openalex.org/W2005204582, https://openalex.org/W2017097671, https://openalex.org/W3124755002, https://openalex.org/W2074812030, https://openalex.org/W2085940758, https://openalex.org/W2171868047, https://openalex.org/W3121603894, https://openalex.org/W2014378975, https://openalex.org/W2094025373, https://openalex.org/W1981509342, https://openalex.org/W3124235709, https://openalex.org/W3124527974, https://openalex.org/W4297902082, https://openalex.org/W2000290698, https://openalex.org/W1521361552, https://openalex.org/W605692607 |
| referenced_works_count | 23 |
| abstract_inverted_index.a | 2 |
| abstract_inverted_index.As | 60 |
| abstract_inverted_index.We | 0, 30 |
| abstract_inverted_index.by | 27 |
| abstract_inverted_index.in | 35 |
| abstract_inverted_index.is | 49 |
| abstract_inverted_index.of | 13, 17, 46, 63, 86 |
| abstract_inverted_index.or | 55 |
| abstract_inverted_index.to | 10 |
| abstract_inverted_index.we | 66, 82 |
| abstract_inverted_index.For | 79 |
| abstract_inverted_index.GDP | 70 |
| abstract_inverted_index.and | 19, 51, 73, 96 |
| abstract_inverted_index.are | 42, 58 |
| abstract_inverted_index.our | 64 |
| abstract_inverted_index.the | 11, 14, 33, 40, 44, 47, 52, 56, 68, 74, 84, 87, 92, 97 |
| abstract_inverted_index.U.S. | 69, 75 |
| abstract_inverted_index.both | 80 |
| abstract_inverted_index.from | 23 |
| abstract_inverted_index.low, | 50 |
| abstract_inverted_index.rate | 99 |
| abstract_inverted_index.real | 76 |
| abstract_inverted_index.show | 31 |
| abstract_inverted_index.that | 5, 32 |
| abstract_inverted_index.time | 24, 53 |
| abstract_inverted_index.when | 39, 90 |
| abstract_inverted_index.cycle | 94 |
| abstract_inverted_index.rates | 72 |
| abstract_inverted_index.these | 36 |
| abstract_inverted_index.derive | 1 |
| abstract_inverted_index.growth | 71 |
| abstract_inverted_index.phases | 95 |
| abstract_inverted_index.rates. | 78 |
| abstract_inverted_index.series | 25, 54 |
| abstract_inverted_index.shocks | 48 |
| abstract_inverted_index.single | 15 |
| abstract_inverted_index.states | 41 |
| abstract_inverted_index.theory | 4 |
| abstract_inverted_index.useful | 7 |
| abstract_inverted_index.analyze | 67 |
| abstract_inverted_index.derived | 22 |
| abstract_inverted_index.models, | 81 |
| abstract_inverted_index.regimes | 57 |
| abstract_inverted_index.business | 93 |
| abstract_inverted_index.filtered | 18 |
| abstract_inverted_index.interest | 77, 98 |
| abstract_inverted_index.provides | 6 |
| abstract_inverted_index.regimes. | 100 |
| abstract_inverted_index.smoothed | 20 |
| abstract_inverted_index.variance | 45 |
| abstract_inverted_index.approach, | 65 |
| abstract_inverted_index.dynamics. | 29 |
| abstract_inverted_index.empirical | 61 |
| abstract_inverted_index.intervals | 89 |
| abstract_inverted_index.asymptotic | 8 |
| abstract_inverted_index.confidence | 88 |
| abstract_inverted_index.diminishes | 38 |
| abstract_inverted_index.illustrate | 83 |
| abstract_inverted_index.inferences | 16 |
| abstract_inverted_index.separated, | 43 |
| abstract_inverted_index.usefulness | 85 |
| abstract_inverted_index.identifying | 91 |
| abstract_inverted_index.persistent. | 59 |
| abstract_inverted_index.statistical | 3 |
| abstract_inverted_index.uncertainty | 34 |
| abstract_inverted_index.characterized | 26 |
| abstract_inverted_index.distributions | 12 |
| abstract_inverted_index.illustrations | 62 |
| abstract_inverted_index.probabilities | 37 |
| abstract_inverted_index.approximations | 9 |
| abstract_inverted_index.probabilities, | 21 |
| abstract_inverted_index.Markov-switching | 28 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.89941226 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |