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Enregistrement W6990927014

Essays on Firm Market Power and Monetary Policy

2023· other· en· W6990927014 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship (California Digital Library) · 2023
Typeother
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueMonetary Policy and Economic Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMonetary policyMarket powerMonetary transmission mechanismCredit channelProductivityInterest rateEmpirical research
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In this dissertation, I explore the relationship between firm market power and the conduct of monetary policy. The interaction of market power and monetary policy is at the heart of the New-Keynesian literature, yet there remain many unresolved puzzles that call for further investigation both empirically and theoretically. I work at the intersection of empirical research and theory, and I aim to answer policy-relevant questions using micro-data in light of theoretical models. In Chapter I, I study the role of intangible inputs, such as software and marketing, and firm heterogeneity in productivity in determining how firms' price-cost markups respond to interest rate changes. In a standard sticky-price New-Keynesian (NK) model, conditionally counter-cyclical markups (i.e., markups fall conditional on a monetary easing) play a key role in the transmission of monetary policy to the real economy. Recent empirical evidence, however, finds that markups respond pro-cyclically to interest rate changes. This disconnect between theory and data casts doubt over the potency of this monetary transmission mechanism and raises the following questions: (1) What causes the pro-cyclical response of markups following a monetary policy shock? (2) What are the implications for the transmission of monetary policy to inflation? To address these questions, I first examine the cyclical behaviors of firm-level markups with the goal to identify what characterizes the firms that drive the aggregate response. I find that firm-level markups are conditionally pro-cyclical to a monetary easing, consistent with earlier findings based on aggregate data. I find new evidence that firms that intensively use intangible inputs display more pro-cyclical markups. Motivated by the empirical evidence, I propose a novel mechanism through firms' adoption of intangible inputs to show that in a heterogeneous firms NK model, firms can reproduce pro-cyclical markups following a monetary easing. I test key predictions of the model and find empirical support for this mechanism. In the cross-section, as in the data, larger firms with higher market share adopt intangible inputs aggressively and become even larger and more profitable at the expense of smaller firms. These results run contrary to the conventional wisdom that a monetary easing leads to a strong labor market with shrinking profit margins and rising wages such that inflation is driven by rising costs, and a distributional consequence that benefits the workers. My findings suggest that a monetary easing could induce inflation driven by both rising costs and rising profits margins, and that it could lead to a redistribution of income from workers to firm profits. Chapter II is part of joint work with Sanjay R. Singh. We study the business cycle interaction of monetary policy with TFP growth and product market power. We document a novel channel for monetary policy to affect the allocative efficiency of an economy, i.e., how resources are allocated across firms. The channel operates through the extensive margin of firm entry and incumbent innovation. In a textbook NK model, markup dispersion goes up irrespective of whether the shock is contractionary or expansionary. In our setting, markup dispersion can go down with expansionary monetary policy shocks. Our misallocation channel does not depend on heterogeneous pass-through of marginal costs into price. We show that even when the pass-through is the same for all firms, monetary policy could still have misallocation effects through it impacts on the cross-sectional distribution of market power across firms. Specifically, we incorporate incumbent innovation into a endogenous growth model with nominal rigidities. In the model, firms accumulate market power through incumbent innovation over time. Successful innovation by entrants results in displacement of existing firms, and disrupts the accumulation of market power by the incumbents. A cross-sectional distribution of markups endogenously responds to business cycle shocks through variations in both entrant and incumbent innovation. Using this environment, we show that a monetary tightening causes an increase in markup dispersion across firms by discouraging entrant innovation relative to incumbent innovation. Using external instruments, we find empirical support for increased inter-sectoral dispersion in markups, lower aggregate TFP, and lower firm entry following contractionary monetary policy shocks in the US economy.Lastly, chapter III is joint with Troy Matheson, in which we empirically investigate the extent to which Canada's road infrastructure gaps have held back productivity. We merge firm-level productivity estimated with detailed road network GIS data from Statistics Canada to estimate productivity improvement with respect to reductions in minimal travel time from marginal improvements in road network. We find that road network improvements increase firm-level productivity. A 1% increase in accessibility leads to a 0.3-0.5% increase in firm productivity.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,009
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,005
Communication savante0,0040,005
Science ouverte0,0010,001
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,204
Écart entre enseignants0,179 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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