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Record W6964197745 · doi:10.25394/pgs.9959804

Essays on Advertising Spending During the Great Recession and Real Earnings Management Using Advertising Budgets

2019· dissertation· en· W6964197745 on OpenAlexaboutno aff

Bibliographic record

VenuePurdue · 2019
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsRecessionQuarter (Canadian coin)Great recessionEmpirical evidenceAdvertising campaign

Abstract

fetched live from OpenAlex

In my main dissertation essay, I investigate advertising spending during a recession. Advertising plays an important role in creating awareness, preference and purchase intent for many products and services. However, advertising is often cut when a firm needs to control costs. This empirical study examines a unique set of factors which motivated 553 firms to change their advertising spending during the Great Recession. The first half of the Great Recession had a moderate 2% decline in GDP and 1% to 2% cuts in advertising spending. The seasonality effect was weaker, which indicates that firms were not as likely to carryover spending from the prior year. The peak of the Great Recession had a GDP decline as high as 7%, which is considered severe. Average advertising spending declined by 13%. In addition to the seasonality effect, decreasing sales decreased advertising spending. Increasing firm risk tends to decrease advertising spending during the peak of the Great Recession, but not before. Finally, firms in high advertising intensity industries, where advertising is strategically important, had modest budget cuts. In contrast, firms in low-intensity industries had much larger percentage cuts.The second essay examines real earnings management using advertising budgets” examines. Real earnings management occurs when managers change real activities to meet or beat important earnings benchmarks. Advertising has a limited short-term impact on firm sales for many products. Therefore, when a firm’s earnings are below key benchmarks for a fiscal quarter (year), managers are compelled to reduce advertising expenditures to boost earnings. This study examines factors which persuade firms to manage earnings using advertising budgets. Similar to earlier studies, we find firms suspect of managing earnings upwards reducing advertising expenses. The findings indicate that B2C firms are more likely to manage earnings by reducing advertising expenses than B2B firms. The findings also reveal that suspect firms which spend more in high advertising elasticity mediums such as TV do not reduce advertising spending as much as firms which spend more in low advertising elasticity mediums such as newspapers and magazines. The study also find evidence to suggest that suspect firms which report advertising expenditure in their income statement make smaller advertising spending cuts than firms which don’t report advertising expenditure. Finally, earnings management activity is much stronger during the last quarter of the fiscal year.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 teacher head, not a consensus.

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
Published2019
Admission routes1
Has abstractyes

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