Research

I examine price-setting behaviour across 52 sectors in the UK by estimating Sectoral Phillips Curves (SPCs) using heterogeneous panel methods. First, I enhance the identification of the SPC by using a confidential survey dataset on direct measures of firms' expectations, labour costs, and supplier prices; thus alleviating a very common weak identification issue discussed in the literature. Second, I take into account input-output linkages, which are typically overlooked in traditional Phillips Curve estimations. I find significant and positive SPC parameters, reaffirming the importance of future expected inflation in firms' price setting and the key role of sectoral data in identifying the Phillips Curve slope. Also, I find larger slopes when sectoral linkages are taken into account. Third, I uncover substantial heterogeneity across industries in terms of forward- and backward-looking behaviour and cost responsiveness. Delving into potential sources of heterogeneity, expectations play a larger role in the price-setting decisions of firms in more concentrated sectors.

Presented at: CEF 2023, Edinburgh-Nottingham Macro PhD Workshop 2023, ESCoE 2023, IAAE 2023, MMF PhD Conference 2023, Warwick PhD Conference 2023, and RES Annual Conference 2024, LACEA-LAMES 2024

We exploit the CBI survey that collects UK firms’ quarterly expectations and perceptions about their own-price inflation and about inflation in markets the firms compete in (own-industry) since 2009. Own-price inflation expectations are found to be robustly positively associated with firms’ price changes. There is evidence for inattention to industry-wide inflation, since own-price and own-industry expected inflation is often reported to be identical. However, when firms expect higher inflation in their industry compared to their own-price expectations, this is associated with additional price increases. The effects are asymmetric, i.e., non-existent when own-industry inflation is expected to be lower. This can reflect that firms receive information for their own pricing from industry-wide signals, and that they might be more willing to adjust price upward when they catch up with their industry and hence worry less about losing market shares. This can have aggregate implications since the effects of inflationary shocks could be amplified when they affect entire industries and firms are catching up to each other in their price setting. 

Presented at: Kiel University (co-author presented), CFE-CMStatistics (co-author presented)

In this paper we first study how firms form their understanding of past and future sectoral inflation through two of the most comprehensive and used hypotheses on the formation of expectations: the full-information rational expectations (FIRE) and sticky information hypotheses (SIRE). Second, we combine these hypotheses with the price setting behaviour theory (Phillips Curve) within a VAR framework and test the system with data. 

This report replicates and examines Bauer et al.'s (2021) paper on monetary policy transmission to financial markets. The paper introduces novel measures of monetary policy uncertainty and analyses its drivers. It also investigates the impact of uncertainty changes on interest rates and financial asset prices. We assess reproducibility, consolidate market uncertainty measures using PCA and Factor Analysis, and rigorously test the reduction of uncertainty after Federal Market Open Committee (FOMC) announcements. Our findings support the paper's claim of reduced uncertainty on meeting days. Additionally, we explore the implications of the uncertainty channel on various financial assets, such as Gold, the Swiss Franc, European stock indexes, and Bitcoin.