We estimate three different models of speculative behaviour using oil price data. There are two major results: (i) The three-regime model of Brooks and Katsaris (2005) and a three-regime variant of van Norden and Schaller (2002) fit the oil price data reasonably well; and (ii) Both models show...

This paper investigates the impact of oil price variations on sectoral inflation for a sample of 10 top oil importing and exporting countries. Specifically, we analyze the effects of oil prices on the consumer price index using monthly data spanning the July 2009 to February 2021 period. Two...

Revealing the precise thresholds at which fluctuations in oil prices start to affect gross domestic product and its various components (consumption, investment, expenditure and exports) holds significant implications for policymakers in both oil-importing and oil-exporting countries. Existing...

We estimate three different models of speculative behaviour using oil price data. Our findings provide support for the claim by Phillips and Yu (2011) and Gilbert (2010) that a bubble in oil prices existed for a short period in 2008.

I employ household-level data over 2006-2017 to quantify the impact of retirement on gasoline consumption. Based on a fuzzy regression discontinuity design, I show that gasoline consumption declines by 32-36 percent on average over my different specifications. The reduction reaches 59-66 percent...

Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that cause bias are often invoked to make computation...

Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that are likely to cause bias are often invoked to make...

Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that are likely to cause bias are often invoked to make...