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Record W7000228731

The employment situation in Latin America and the Caribbean: Crisis in the labour markets and countercyclical responses

2015· other· en· W7000228731 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2015
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicUnemployment and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansUnemploymentInvestment (military)RecessionWageQuarter (Canadian coin)ProductivityForeign direct investmentFinancial crisis
DOInot available

Abstract

fetched live from OpenAlex

As predicted in the first bulletin, produced jointly by the Economic Commission for Latin America and the Caribbean (ECLAC) and the International Labour Organization (ILO), the impact of the economic crisis continued to be felt in Latin America and the Caribbean during the second quarter of 2009. Regional exports of goods and services contracted in response to sluggish demand on international markets, while remittances and foreign direct investment flows continued to fall, credit lost its buoyancy and the total wage bill diminished, owing mainly to job losses. As a result, the growth forecasts of many countries had to be adjusted downwards. Since the end of 2008, the countries of the region had started to implement countercyclical policies —albeit with significant differences— in an effort to use public spending to counter flagging investment and consumer-spending levels and boost aggregate demand. In this second bulletin, ECLAC and ILO show how the impact of the crisis has deepened in labour markets in the region in the first half of the year and examine existing options and the outcome of public-infrastructure and emergency employment programmes designed to mitigate the impact of the crisis on the labour market. The unemployment rate has risen in practically all countries compared with the previous year and this situation worsened further in the second quarter, when urban unemployment exceeded the rate of the corresponding period in 2008 by 1 percentage point (to stand at 8.5%, up from 7.5%), while in the first quarter, the variation was 0.6 of a percentage point. Labour indicators also point to an increase in informality, a decline in employment with social protection and a decrease in full-time employment. Labour-market trends observed in the first half-year, together with the forecast for a 1.9% decline in regional GDP in 2009, suggest that the average annual rate of urban unemployment in the region will be close to 8.5%. This forecast is slightly less pessimistic than the estimate given in the first bulletin; this is attributable to the fall in the participation rate in the first half-year to levels that are expected to remain low for the rest of the year. Without this reduction in the labour supply, due largely to the “discouragement effect”, the annual average urban unemployment rate would stand at between 8.8% and 8.9%. Thus, the open urban unemployment figure would increase by 2.5 million and if the “discouraged job-seekers” are included, then the number of additional persons not finding a niche in the urban labour market would climb to 3.2 million. In the region, as in the rest of the world, there are signs that the crisis may have reached bottom in the middle of the year. In many countries, production levels have ceased their decline and there are indications of an incipient recovery leading to cautious optimism that there may be a moderate upturn in labour markets in the fourth quarter. The pace of recovery will vary from one country to the next and is expected to be gradual at best. Even with the return to a growth path, there should be no illusion that the labour problems will immediately disappear. First, the recovery in employment is expected to lag behind the upturn in economic activity. Second, since economic growth is likely to remain moderate in the short term and well below the rates recorded between late 2003 and mid-2008, demand for labour and consequently the generation of good-quality jobs will continue to be weak. Thus, countries should not relax their efforts to defend and create decent jobs, but rather should take steps to improve the effectiveness and efficiency of available instruments. In this way, the region will be in a better position not only to confront the challenges of economic recovery, but also to strengthen the foundations for social inclusion and for advancing under more favourable conditions towards fulfilment of the Millennium Development Goals.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.592

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0030.002
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.016
GPT teacher head0.206
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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