Equation balance in time series analysis: lessons learned and lessons needed Article Swipe
The papers in this symposium use Monte Carlo simulations to demonstrate the consequences of estimating time series models with variables that are of different orders of integration. In this summary, I do the following: very briefly outline what we learn from the papers; identify an apparent contradiction that might increase, rather than decrease, confusion around the concept of a balanced time series model; suggest a resolution; and identify a few areas of research that could further increase our understanding of how variables with different dynamics might be combined. In doing these things, I suggest there is still a lack of clarity around how a research practitioner demonstrates balance, and demonstrates what Pickup and Kellstedt (2021) call I (0) balance.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/psrm.2022.51
- https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4E49C02AA3A3F56EC338F095D8E4B5E2/S2049847022000516a.pdf/div-class-title-equation-balance-in-time-series-analysis-lessons-learned-and-lessons-needed-div.pdf
- OA Status
- hybrid
- Cited By
- 3
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4304172327
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4304172327Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1017/psrm.2022.51Digital Object Identifier
- Title
-
Equation balance in time series analysis: lessons learned and lessons neededWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-01Full publication date if available
- Authors
-
Mark PickupList of authors in order
- Landing page
-
https://doi.org/10.1017/psrm.2022.51Publisher landing page
- PDF URL
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4E49C02AA3A3F56EC338F095D8E4B5E2/S2049847022000516a.pdf/div-class-title-equation-balance-in-time-series-analysis-lessons-learned-and-lessons-needed-div.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4E49C02AA3A3F56EC338F095D8E4B5E2/S2049847022000516a.pdf/div-class-title-equation-balance-in-time-series-analysis-lessons-learned-and-lessons-needed-div.pdfDirect OA link when available
- Concepts
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CLARITY, Confusion, Series (stratigraphy), Contradiction, Balance (ability), Econometrics, Monte Carlo method, Computer science, Operations research, Epistemology, Psychology, Mathematics, Statistics, Philosophy, Psychoanalysis, Neuroscience, Chemistry, Biochemistry, Paleontology, BiologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
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24Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.there | 95 |
| abstract_inverted_index.these | 91 |
| abstract_inverted_index.(2021) | 115 |
| abstract_inverted_index.Pickup | 112 |
| abstract_inverted_index.around | 55, 102 |
| abstract_inverted_index.model; | 63 |
| abstract_inverted_index.models | 18 |
| abstract_inverted_index.orders | 25 |
| abstract_inverted_index.papers | 2 |
| abstract_inverted_index.rather | 51 |
| abstract_inverted_index.series | 17, 62 |
| abstract_inverted_index.briefly | 36 |
| abstract_inverted_index.clarity | 101 |
| abstract_inverted_index.concept | 57 |
| abstract_inverted_index.further | 76 |
| abstract_inverted_index.outline | 37 |
| abstract_inverted_index.papers; | 43 |
| abstract_inverted_index.suggest | 64, 94 |
| abstract_inverted_index.things, | 92 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.apparent | 46 |
| abstract_inverted_index.balance, | 108 |
| abstract_inverted_index.balance. | 119 |
| abstract_inverted_index.balanced | 60 |
| abstract_inverted_index.dynamics | 85 |
| abstract_inverted_index.identify | 44, 68 |
| abstract_inverted_index.increase | 77 |
| abstract_inverted_index.research | 73, 105 |
| abstract_inverted_index.summary, | 30 |
| abstract_inverted_index.Kellstedt | 114 |
| abstract_inverted_index.combined. | 88 |
| abstract_inverted_index.confusion | 54 |
| abstract_inverted_index.decrease, | 53 |
| abstract_inverted_index.different | 24, 84 |
| abstract_inverted_index.increase, | 50 |
| abstract_inverted_index.symposium | 5 |
| abstract_inverted_index.variables | 20, 82 |
| abstract_inverted_index.estimating | 15 |
| abstract_inverted_index.following: | 34 |
| abstract_inverted_index.demonstrate | 11 |
| abstract_inverted_index.resolution; | 66 |
| abstract_inverted_index.simulations | 9 |
| abstract_inverted_index.consequences | 13 |
| abstract_inverted_index.demonstrates | 107, 110 |
| abstract_inverted_index.integration. | 27 |
| abstract_inverted_index.practitioner | 106 |
| abstract_inverted_index.contradiction | 47 |
| abstract_inverted_index.understanding | 79 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5057601388 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I18014758 |
| citation_normalized_percentile.value | 0.79161801 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |