The Relationship between Pandemic Containment Measures, Mobility and Economic Activity (Relación entre las medidas de contención de la pandemia, la movilidad y la actividad económica)
Bibliographic record
Abstract
English abstract: This paper first constructs a regional-scale indicator that seeks to gauge the volume of measures implemented at each point in time to contain the pandemic. Using textual analysis techniques, we analyse the information in press news. At the start of the pandemic, measures were taken in a centralised fashion; but from June, regional differences began to be seen and increased in the final stretch of the year. Second, using linear estimates, with monthly data and a level of regional disaggregation, the paper documents how most of the reduction in mobility observed in Spain has been due to the restrictions imposed. However, there has been a perceptible change in this relationship over recent months. In the early stages of the pandemic, the reduction in mobility was found to be greater than would be inferred by the restrictions approved. That is to say, at the outset there was apparently some voluntary reduction in mobility. Yet following lockdown-easing, the behaviour of mobility has fitted more closely with what might be attributed to the containment measures in force. Finally, the findings in the paper suggest that most of the decline in economic activity since the start of the crisis can be explained by the reductions observed in mobility. The analysis considers only the short-term effects on activity, which is very useful for preparing the projections on GDP behaviour in the current quarter. Conversely, the methodological approach pursued does not allow for evaluation of the effect of the pandemic containment measures on activity over longer time horizons. In particular, the adverse impact on the economy’s output that occurs concurrently as a result of the restrictions may be countered in the medium term by an effect of the opposite sign, to the extent that the restrictions imposed today may serve to prevent other more forceful ones in the future. Spanish abstract: En este trabajo se construye, en primer lugar, un indicador a escala autonomica que trata de medir el volumen de medidas desplegadas en cada momento del tiempo para contener la pandemia. Para ello se analiza, mediante tecnicas de analisis textual, la informacion contenida en las noticias de prensa. Al inicio de la pandemia, las medidas se tomaron de forma centralizada, pero a partir de junio comienzan a observarse diferencias entre regiones, que se intensificaron en la parte final del ano. En segundo lugar, utilizando estimaciones lineales, con datos mensuales y con un nivel de desagregacion autonomico, se documenta que la mayor parte de la reduccion de la movilidad observada en Espana viene explicada por las restricciones desplegadas. No obstante, se aprecia un cambio en esta relacion a lo largo de los ultimos meses. Asi, en las fases iniciales de la pandemia, se encuentra que la reduccion de la movilidad fue superior a la que se desprenderia de las restricciones aprobadas. Esto es, al principio se produjo, aparentemente, una cierta reduccion de la movilidad de caracter voluntario. Sin embargo, tras la desescalada, el comportamiento de la movilidad se ha ajustado mas al explicado por las medidas de contencion en vigor. Por ultimo, los resultados del trabajo apuntan a que la mayor parte de la caida en la actividad economica desde el comienzo de la crisis sanitaria puede explicarse por las reducciones observadas en la movilidad. El analisis considera solamente los efectos de corto plazo sobre la actividad, lo que es de gran utilidad para la elaboracion de las proyecciones acerca del comportamiento del PIB en el trimestre corriente. La aproximacion metodologica que se ha seguido no permite, por el contrario, evaluar el efecto de las medidas de contencion de la pandemia sobre la actividad en horizontes temporales mayores. En particular, el impacto adverso sobre el producto de la economia que tiene lugar de forma contemporanea como consecuencia de las restricciones puede verse contrarrestado en el medio plazo por un efecto de signo opuesto, en la medida en que las restricciones impuestas hoy sirvan para evitar otras mas contundentes en el futuro. Note: Downloable document is in English.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".