Household Indebtedness, Financial Frictions and the Transmission of Monetary Policy to Consumption: Evidence from China
Michael Funke, Xiang Li, Doudou Zhong
Emerging Markets Review,
im Erscheinen
Abstract
This paper studies the impact of household indebtedness on the transmission of monetary policy to consumption using the Chinese household-level survey data. We employ a panel smooth transition regression model to investigate the non-linear role of indebtedness. We find that housing-related indebtedness weakens the monetary policy transmission, and this effect is non-linear as there is a much larger counteraction of consumption in response to monetary policy shocks when household indebtedness increases from a low level rather than from a high level. Moreover, the weakened monetary policy transmission from indebtedness is stronger in urban households than in rural households. This can be explained by the investment good characteristic of real estate in China.
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BigTech Credit and Monetary Policy Transmission: Micro-level Evidence from China
Yiping Huang, Xiang Li, Han Qiu, Changhua Yu
IWH Discussion Papers,
Nr. 18,
2022
Abstract
This paper studies monetary policy transmission through BigTech and traditional banks. By comparing business loans made by a BigTech bank with those made by traditional banks, it finds that BigTech loans tend to be smaller, and the BigTech bank grants credit to more new borrowers compared with conventional banks in response to expansionary monetary policy. The BigTech bank‘s advantages in information, monitoring, and risk management are the potential mechanisms. The analysis also finds that BigTech and traditional bank credits to firms that have already borrowed from these banks respond similarly to changes in monetary policy. Overall, BigTech credit amplifies monetary policy transmission mainly through the extensive margin. In addition, monetary policy has a stronger impact on the real economy through BigTech lending than traditional bank loans.
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28.06.2022 • 15/2022
Gefahr einer Gaslücke gegenüber April deutlich verringert – aber Versorgungsrisiken bleiben
Die Wahrscheinlichkeit einer Versorgungslücke mit Erdgas im Fall eines Stopps russischer Lieferungen ist gegenüber April deutlich gesunken. Zu diesem Ergebnis kommt eine aktualisierte Simulationsrechnung der an der Gemeinschaftsdiagnose beteiligten Institute. Trotz mittlerweile deutlich besser gefüllter Speicher sind damit aber noch nicht alle Risiken für die Gasversorgung der Industrie im Winterhalbjahr 2022/2023 gebannt. Es ist daher ratsam, zeitnah die Preissignale bei den Verbrauchern ankommen zu lassen.
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Das Potenzial von Bankkreditspreads für die Konjunkturprognose
Daniel Streitz
Wirtschaft im Wandel,
Nr. 2,
2022
Abstract
Prognosemodelle für die zukünftige wirtschaftliche Entwicklung verwenden häufig marktbasierte Indikatoren wie Spreads von Unternehmensanleihen, die den Risikoaufschlag gegenüber einem Referenzzins angeben. Anleihespreads bilden jedoch nur die Entwicklung von Risiken für Unternehmen ab, die regelmäßig Anleihen emittieren – im Durchschnitt größere, sichere Firmen. Neuartige Daten zu Bankkrediten, die im Sekundärmarkt gehandelt werden, erlauben auch die Konstruktion von Kreditspreads. Kreditmarktdaten umfassen ein breiteres Spektrum an Firmen, inklusive kleinerer Firmen, die stärker von Finanzmarktfriktionen betroffen sind. Tests zeigen, dass Kreditspreads tatsächlich mehr Informationen über wirtschaftliche Entwicklungen beinhalten als Anleihespreads und daher das Potenzial haben, Prognosemodelle zu verbessern.
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The Impact of Active Aggregate Demand on Utilisation-adjusted TFP
Konstantin Gantert
IWH Discussion Papers,
Nr. 9,
2022
Abstract
Non-clearing goods markets are an important driver of capacity utilisation and total factor productivity (TFP). The trade-off between goods prices and household search effort is central to goods market matching and therefore drives TFP over the business cycle. In this paper, I develop a New-Keynesian DSGE model with capital utilisation, worker effort, and expand it with goods market search-and-matching (SaM) to model non-clearing goods markets. I conduct a horse-race between the different capacity utilisation channels using Bayesian estimation and capacity utilisation survey data. Models that include goods market SaM improve the data fit, while the capital utilisation and worker effort channels are rendered less important compared to the literature. It follows that TFP fluctuations increase for demand and goods market mismatch shocks, while they decrease for technology shocks. This pattern increases as goods market frictions increase and as prices become stickier. The paper shows the importance of non-clearing goods markets in explaining the difference between technology and TFP over the business cycle.
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The Effect of Foreign Institutional Ownership on Corporate Tax Avoidance: International Evidence
Iftekhar Hasan, Incheol Kim, Haimeng Teng, Qiang Wu
Journal of International Accounting, Auditing and Taxation,
March
2022
Abstract
We find that foreign institutional investors (FIIs) reduce their investee firms’ tax avoidance. We provide evidence that the effect is driven by the institutional distance between FIIs’ home countries/regions and host countries/regions. Specifically, we find that the effect is driven by the influence of FIIs from countries/regions with high-quality institutions (i.e., common law, high government effectiveness, and high regulatory quality) on investee firms located in countries/regions with low-quality institutions. Furthermore, we show that the effect is concentrated on FIIs with little experience in the investee countries/regions or FIIs with stronger monitoring incentives. Finally, we find that FIIs are more likely to vote against management if the firm has a higher level of tax avoidance.
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