This paper develops a Bayesian VAR model to identify three structural shocks driving the European gas market: demand, supply and inventory shocks. We document how gas price fluctuations have a heterogeneous pass-through to euro area prices depending on the underlying shock driving them. The...

This paper aims to investigate the sensitivity of the gas market: Russian Natural Gas and Liquefied Gas, to other commodity categories. It sheds light on the Russian-Ukrainian crisis by using an Autoregressive Distributed Lag model on daily prices of Russian Natural Gas, Liquefied Natural Gas,...

We investigate the role of speculation in the European natural gas market over the period 2020- 2024, a period marked by extreme price volatility driven by the energy crisis following Russia's invasion of Ukraine. Replicating the framework of Knittel and Pindyck (2016), we disentangle the...

In course of the current energy crisis, the consequences of increasing gas prices are heavily discussed. To date, however, there is no evidence of the impact of gas prices on the labor market. Using administrative employment data from 2012-2020, we find for manufacturing establishments a gas...

The gas price explosion during the 2021/22 European energy crisis prompted a shift from gas- to coal-fired electricity production. Empirical evidence on the environmental and health consequences of such a fuel-price shock - as opposed to policy reforms - is scarce. We fill this gap by...

Gasspeicher sind ein zentraler Baustein für eine sichere Energieversorgung und damit für eine funktionierende Wirtschaft und Gesellschaft. Derzeit bietet der Markt jedoch kaum Anreize, die Gasspeicher zu nutzen oder in deren Erhalt zu investieren. Im Gegenteil: Seit November 2024 beobachten...

We identify supply and demand shocks to the real price of natural gas in the Euro Area and the United States. Demand shocks are identified using exogenous temperature variations, while supply shocks are identified through a high-frequency strategy based on an extensive collection of...

This Paper analyses the results of the trading data in 2024 for the European traded gas hubs, to give a fuller picture of the recovery after the very turbulent period from 2020 to 2022, where the various hubs now stand and, more importantly, to establish whether the Dutch TTF can now credibly be...

Energy inflation is a major source of headline inflation volatility and forecast errors, therefore it is critical to model it accurately. This paper introduces a novel suite of Bayesian VAR models for euro area HICP energy inflation, which adopts a granular, bottom-up approach - disaggregating...

Gasspeicher sind ein zentraler Baustein für eine sichere Energieversorgung und damit für eine funktionierende Wirtschaft und Gesellschaft. Derzeit bietet der Markt jedoch kaum Anreize, die Gasspeicher zu nutzen oder in deren Erhalt zu investieren. Im Gegenteil: Seit November letzten Jahres...

This study investigates the price elasticity of residential natural gas demand in Iran, using a sample form nationwide database of administrative household billing records from 2013 to 2023. Our work contributes to the literature by analyzing household-level natural gas demand during Iran's...

In 2024, the heating energy demand of households in Germany remained at a similar level as in 2023. Thus, the heating energy savings achieved during the energy crisis were maintained, as data from real estate service provider ista SE show. Compared to 2023, CO₂ emissions fell by three percent...

The long-expected wave of LNG supply is now almost upon us, and is expected to outstrip the rise in demand for LNG. Spot prices, in European and Asian markets, may respond to the overhang of supply by moving to more short-run pricing – as was seen in 2019 and 2020 – and, as a result, prices...

This paper develops a Bayesian VAR model to identify three structural shocks driving the European gas market: demand, supply and inventory shocks. We document how gas price fluctuations have a heterogeneous pass-through to euro area prices depending on the underlying shock driving them. The...

This paper uses a Bayesian Structural Vector Autoregressive (BSVAR) framework to estimate the pass-through of unexpected gas price supply shocks on HICP inflation in the euro area and its four largest economies. In comparison to oil price shocks, gas price shocks have approximately one-third...

In the aftermath of the Russian invasion in Ukraine and rising gas prices, the "gas Price brake" was implemented in Germany. We employ a difference-in-differences Approach and analyze data on offered gas contracts from two countries with comparable gas markets, where one country (Germany) has...

We propose a structural vector-autoregressive model for the German natural gas market to investigate the impact of the 2022 Russian supply stop on the German economy. We combine conventional and narrative sign restrictions to leverage information about supply cuts for identification and find...

We use a structural VAR model to study the German natural gas market and investigate the impact of the 2022 Russian supply stop on the German economy. Combining conventional and narrative sign restrictions, we find that gas supply and demand shocks have large and persistent price effects, while...

This paper aims to assess the role of expectations as a determinant of the real price of natural gas. To measure expectations-driven speculative demand three approaches are followed, which are based respectively on using natural gas inventories consistently with the theory of storage (Kilian and...

The market for internationally traded gas has now globalized, assisted by the advent of US LNG from the Lower-48. The volume of flexible LNG has increased sharply since 2016 and was instrumental in the diversion of LNG cargoes to Europe, following the loss of Russian pipeline gas in 2022. In a...

The dependency on imported essential production inputs poses a threat of abrupt price hikes and shortages, potentially triggered by political events. The energy crisis resulting from the Russian war of aggression is an example. This paper investigates whether governments should bolster...

European gas markets experienced a very turbulent period from 2020 to 2022, which led to the lowest ever northwest European gas prices at the end of May 2020, then several strong rallies led to four successive ‘highest ever’ prices, the most recent being in August 2022. After each of those...

We use a structural VAR model to study the German natural gas market and investigate the impact of the 2022 Russian supply stop on the German economy. Combining conventional and narrative sign restrictions, we find that gas supply and demand shocks have large and persistent price effects, while...

We use micro-level data on fuel consumption, mileage, and travel mode to study plug-in hybrid drivers’ response to fuel prices. When fuel prices rise, plug-in hybrids reduce fuel consumption more than gasoline and diesel cars. They do not reduce their mileage but increase electric recharging,...

This paper uses a Bayesian Structural Vector Autoregressive (BSVAR) framework to estimate the pass-through of unexpected gas price supply shocks on HICP inflation in the euro area and its four largest economies. In comparison to oil price shocks, gas price shocks have approximately one-third...

For users of the Ethereum network, the gas price is a crucial parameter that determines how swiftly the decentralized consensus protocol confirms a transaction. This paper studies the statistics of the Ethereum gas price. We start with some conceptual discussion of the gas price notion in view...