Johan Brannlund - Latest

• Predicting Changes in Canadian Housing Markets with Machine Learning

  Staff Discussion Paper 2023-21 Johan Brannlund, Helen Lao, Maureen MacIsaac, Jing Yang

  We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Financial markets, Housing JEL Code(s): A, C, C4, C45, C5, C53, D, D2, R, R2, R3

• Are Temporary Oil Supply Shocks Real?

  Staff Working Paper 2022-52 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger

  Hurricanes disrupt oil production in the Gulf of Mexico because producers shut in oil platforms to safeguard lives and prevent damage. We examine the effects of these temporary oil supply shocks on real economic activity in the United States.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Inflation and prices JEL Code(s): E, E3, E31, E32, Q, Q3, Q31, Q4, Q41, Q43

• Weather the Storms? Hurricanes, Technology and Oil Production

  Staff Working Paper 2022-36 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger, Matthew Krutkiewicz

  Do technological improvements mitigate the potential damages from extreme weather events? We show that hurricanes lower offshore oil production in the Gulf of Mexico and that stronger storms have larger impacts. Regulations enacted in 1980 that required improved offshore construction standards only modestly mitigated the production losses.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Climate change, Potential output JEL Code(s): C, C2, C22, C23, Q, Q4, Q40, Q48, Q5, Q54