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Oil Demand and Supply Shocks in Canada’s Economy

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Abstract

This paper investigates how oil supply shocks, aggregate demand shocks, and speculative oil demand shocks affect Canada’s economy, within an estimated Dynamic Stochastic General Equilibrium (DSGE) model. The estimation is conducted using Bayesian methods, with Canadian quarterly data from 1983Q1 to 2021Q4. The results suggest that the dynamic effects of oil price shocks on Canadian macroeconomic variables vary according to their sources. In particular, a 10 percent increase in the real price of oil driven by positive foreign aggregate demand shocks has a positive effect of about 1.2 percent on Canada’s real GDP upon impact and the effect remains positive over time. In contrast, an increase in the real price of oil driven by negative foreign oil supply shocks or by positive speculative oil demand shocks causes a small effect of about 0.15 percent on Canada’s real GDP upon impact but causes a slightly decline afterwards. At the same time, an oil price increase that originates from aggregate demand shock causes an increase in consumption and investment, while an oil price increase that originates from oil supply shocks or from speculative oil demand shocks cause a decline in consumption and investment. Furthermore, among the identified oil shocks, aggregate demand shocks have been by fare more important in explaining the variations of most of Canadian macroeconomic variables over the estimation period. In contrast, speculative oil demand shock appears to be the first source of variations in real oil price.

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Data Availability

All data used in this paper are available on request.

Change history

  • 28 February 2023

    Spacing and typo in the math equations has been updated.

Notes

  1. The main advantage DSGE models is their theoretical economic coherence while VAR models aim at only empirical coherence. Parameters in VAR models most often do not have clear economic sense. Moreover, the identified structure of the shocks in VAR models is fundamental and most often there is no consensus between researchers on the identifying assumption.

  2. The model has been designed to explain the macroeconomic effects of increases in oil prices driven by exogenous shocks that originate from abroad. It is not meant to explain the effects of oil price fluctuations due to new oil reserve discoveries in Canada.

  3. This way of introducing adjustment costs in oil intensity provides a flexible approach to capture the wedge between the short and long run elasticity of oil demand.

  4. There are several reasons for carrying inventories for oil, including uncertainty about the size of future demand, uncertainty about the amount of lead time for deliveries, provision for greater assurance of continuing production, and speculation on future prices of oil.

  5. The strategy to choose appropriate values for prior information is to start with given values in the prior domains and adjust these according to whether the optimizer indicates upper-bound constraints or lower-bound constraints for the particular parameter.

  6. Like the Metropolis–Hastings sampler, the Gibbs sampler is an alternative MCMC sampler. However, this sampler requires to know the close form of the conditional distributions for each of the variables, which is most often two complex to determine in the case of DSGE model. The Metropolis-Hasting sampler is more adequate for estimation of DSGE models since it does not require to know the closed form of the conditional distributions for sampling. The disadvantage of Metropolis–Hastings sampler is that it can have a poor convergence rate.

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Acknowledgements

I would like to thank Emanuela Cardia, Benoit Perron, Francisco Ruge-Murcia, and others anonymous contributors for their comments and suggestions. The views expressed in this paper are those of the author and do not necessary reflect those of the author institutional affiliation.

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Correspondence to Juste Somé.

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Appendix

Appendix

A. The Log-Linearized Model

Variables with hats correspond to their log-deviation from their steady state level, except debt.

  1. 1.

    Euler equation for consumption:

    $${\widehat{\Lambda }}_{t}=\frac{1}{(1-\hslash )(1-\hslash \beta )}\left(-({\widehat{C}}_{t}-\hslash {\widehat{C}}_{t-1})+\hslash \beta ({\widehat{C}}_{t+1}-\hslash {\widehat{C}}_{t})\right)+\frac{1}{1-\hslash \beta }\left({\widehat{\zeta }}_{u,t}-\hslash \beta {\widehat{\zeta }}_{u,t+1}\right)$$
    $${\widehat{\Lambda }}_{t}={\widehat{\Lambda }}_{t+1}+{\widehat{r}}_{t}$$
  2. 2.

    Labor supply:

    $${\widehat{w}}_{t}={\widehat{\zeta }}_{u,t}+\left(\frac{N}{1-N}\right){\widehat{N}}_{t}-{\widehat{\Lambda }}_{t}$$
    $${\widehat{N}}_{t}={\left(\frac{{N}_{o}}{N}\right)}^{\frac{\varsigma +1}{\varsigma }}{\widehat{N}}_{o,t}+{\left(\frac{{N}_{d}}{N}\right)}^{\frac{\varsigma +1}{\varsigma }}{\widehat{N}}_{d,t}$$
    $${\widehat{w}}_{o,t}={\widehat{w}}_{t}+\frac{1}{\varsigma }({\widehat{N}}_{o,t}-{\widehat{N}}_{t})$$
    $${\widehat{w}}_{d,t}={\widehat{w}}_{t}+\frac{1}{\varsigma }({\widehat{N}}_{d,t}-{\widehat{N}}_{t})$$
  3. 3.

    Log-linearized capital first-order condition

    $${\widehat{r}}_{t}=\left(1-\beta (1-\delta )\right){E}_{t}{\widehat{r}}_{s,t+1}^{k}+\beta (1-\delta ){E}_{t}{\widehat{q}}_{s,t+1}-{\widehat{q}}_{s,t}\hspace{0.33em}\hspace{0.33em}\hspace{0.33em}{\text{for}}\hspace{0.33em}\hspace{0.33em}\hspace{0.33em}s\in \{o,d\}$$
  4. 4.

    Log-linearized investment first-order condition

    $${\widehat{q}}_{s,t}={\kappa }_{s}\left(\Delta {\widehat{I}}_{s,t}-\beta {E}_{t}\Delta {\widehat{I}}_{s,t+1}\right)\hspace{0.33em}\hspace{0.33em}\hspace{0.33em}{\text{for}}\hspace{0.33em}\hspace{0.33em}\hspace{0.33em}s\in \{o,d\}$$
  5. 5.

    Capital accumulation:

    $${\widehat{K}}_{s,t}=(1-\delta ){\widehat{K}}_{s,t-1}+\delta {\widehat{I}}_{s,t}+\delta \hspace{0.33em}\hspace{0.33em}\hspace{0.33em}{\text{for}}\hspace{0.33em}\hspace{0.33em}\hspace{0.33em}s\in \{o,d\}$$
  6. 6.

    Uncovered interest parity condition:

    $${\widehat{r}}_{t}={\widehat{r}}_{t}^{\star }+{\widehat{\Phi }}_{{B}_{t}^{\star }}+{E}_{t}\Delta {\widehat{s}}_{t+1}$$
  7. 7.

    The Risk premium of borrowing abroad is:

    $${\widehat{\Phi }}_{{B}_{t}^{\star }}=-\varrho \left(\frac{s.{b}^{\star }}{Y}\right)({\widehat{s}}_{t}+{\widehat{b}}_{t}^{\star }-{\widehat{Y}}_{t})$$
  8. 8.

    Final good composition:

    $${\widehat{Y}}_{d,t}^{z}={\widehat{Z}}_{t}-\theta {\widehat{p}}_{d,t}$$
    $${\widehat{Y}}_{m,t}={\widehat{Z}}_{t}-\theta {\widehat{p}}_{m,t}$$
    $$0=(1-{\omega }_{m}){\widehat{p}}_{d,t}+{\omega }_{m}{\widehat{p}}_{m,t}$$
  9. 9.

    Production sector of crude oil:

    $${\widehat{Y}}_{o,t}={\widehat{A}}_{o,t}+\left(\frac{{W}_{o}{N}_{o}}{{e}_{t}{P}_{o}^{\star }{Y}_{d}}\right){\widehat{N}}_{o,t}+\left(\frac{{R}_{o}^{k}{K}_{o}}{{e}_{t}{P}_{o}^{\star }{Y}_{o}}\right){\widehat{K}}_{o,t-1}+\left(\frac{{P}_{X}X}{{e}_{t}{P}_{o}^{\star }{Y}_{o}}\right){\widehat{X}}_{t}$$
    $${\widehat{w}}_{o,t}={\widehat{s}}_{t}+{\widehat{p}}_{o,t}^{\star }-\frac{1}{{\xi }_{o}}{\widehat{N}}_{o,t}+\frac{1}{{\xi }_{o}}{\widehat{Y}}_{o,t}+\left(1-\frac{1}{{\xi }_{o}}\right){\widehat{A}}_{o,t}$$
    $${\widehat{r}}_{o,t}^{k}={\widehat{s}}_{t}+{\widehat{p}}_{o,t}^{\star }-\frac{1}{{\xi }_{o}}{\widehat{K}}_{o,t-1}+\frac{1}{{\xi }_{o}}{\widehat{Y}}_{o,t}+\left(1-\frac{1}{{\xi }_{o}}\right){\widehat{A}}_{o,t}$$
    $${\widehat{p}}_{X,t}={\widehat{s}}_{t}+{\widehat{p}}_{o,t}^{\star }-\frac{1}{{\xi }_{o}}{\widehat{X}}_{t}+\frac{1}{{\xi }_{o}}{\widehat{Y}}_{o,t}+\left(1-\frac{1}{{\xi }_{o}}\right){\widehat{A}}_{o,t}$$
    $${\widehat{p}}_{o,t}={\widehat{s}}_{t}+{\widehat{p}}_{o,t}^{\star }$$
  10. 10.

    Supply of oil reserves:

    $${\widehat{X}}_{t}=0$$
  11. 11.

    Production sector of domestic good:

    $${\widehat{Y}}_{d,t}={\widehat{A}}_{d,t}+\left(\frac{{W}_{d}{N}_{d}}{{P}_{d}{Y}_{d}}\right){\widehat{N}}_{d,t}\left(\frac{{R}_{d}^{k}{K}_{d}}{{P}_{d}{Y}_{d}}\right){\widehat{K}}_{d,t-1}+\left(\frac{{P}_{o}O}{{P}_{d}{Y}_{d}}\right){\widehat{O}}_{t}$$
    $${\widehat{w}}_{d,t}={\widehat{p}}_{d,t}-\frac{1}{{\xi }_{d}}{\widehat{N}}_{d,t}+\frac{1}{{\xi }_{d}}{\widehat{Y}}_{d,t}+\left(1-\frac{1}{{\xi }_{d}}\right){\widehat{A}}_{d,t}$$
    $${\widehat{r}}_{d,t}^{k}={\widehat{p}}_{d,t}-\frac{1}{{\xi }_{d}}{\widehat{K}}_{d,t-1}+\frac{1}{{\xi }_{d}}{\widehat{Y}}_{d,t}+\left(1-\frac{1}{{\xi }_{d}}\right){\widehat{A}}_{d,t}$$
    $${\widehat{p}}_{o,t}={\widehat{p}}_{d,t}-\frac{1}{{\xi }_{d}}{\widehat{O}}_{t}+\frac{1}{{\xi }_{d}}{\widehat{Y}}_{d,t}+\left(1-\frac{1}{{\xi }_{d}}\right){\widehat{A}}_{d,t}-{\phi }_{o}\left(({\widehat{O}}_{t}-{\widehat{Y}}_{d,t})-({\widehat{O}}_{t-1}-{\widehat{Y}}_{d,t-1})\right)$$
  12. 12.

    Price of imported good:

    $${\widehat{p}}_{m,t}={\widehat{s}}_{t}+{\zeta }_{m,t}$$
  13. 13.

    Foreign oil demand:

    $${\widehat{O}}_{t}^{\star }={\widehat{Y}}_{t}^{\star }-{\varphi }_{o}^{\star }{\widehat{p}}_{o,t}^{\star }$$
  14. 14.

    Foreign real interest rate

    $${\widehat{r}}_{t}^{\star }={\varphi }_{r}({E}_{t}{\widehat{Y}}_{t+1}^{\star }-{\widehat{Y}}_{t}^{\star })$$
  15. 15.

    Exports of domestic good:

    $${\widehat{Y}}_{d,t}^{ex}={\widehat{Y}}_{t}^{\star }-{\theta }_{ex}({\widehat{p}}_{d,t}-{\widehat{s}}_{t})$$
  16. 16.

    Speculative or Precautionary demand of crude oil

    $${\widehat{OS}}_{t}={\Theta }_{OS}\left[\beta ({E}_{t}{\widehat{p}}_{o,t+1}^{\star }-{\widehat{r}}_{t}^{\star })-{\widehat{p}}_{o,t}^{\star }\right]+{\widehat{Z}}_{os,t}$$
  17. 17.

    Net foreign asset dynamic:

    $$\left(\frac{s.{b}^{\star }}{Y}\right)\left({\widehat{s}}_{t}+{\widehat{b}}_{t}^{\star }\right)={\beta }^{-1}\left(\frac{s.{b}^{\star }}{Y}\right)\left({\widehat{\Phi }}_{{B}_{t-1}^{\star }}{\widehat{R}}_{t-1}^{\star }-{\widehat{\pi }}_{t}^{\star }+{\widehat{s}}_{t}+{\widehat{b}}_{t-1}^{\star }\right)+\left(\frac{{P}_{d}{Y}_{d}^{ex}}{P.Y}\right)\left({\widehat{p}}_{d}+{\widehat{Y}}_{d}^{ex}\right)+\left(\frac{e{P}_{o}^{\star }{O}^{ex}}{P.Y}\right)\left({\widehat{s}}_{t}{\widehat{p}}_{o,t}^{\star }+{\widehat{O}}_{t}^{ex}\right)-\left(\frac{e.{Y}_{m}}{Y}\right)\left({\widehat{s}}_{t}+{\widehat{Y}}_{m,t}\right)$$
  18. 18.

    Real gross domestic product (GDP):

    $$\begin{array}{ccc}{\widehat{Y}}_{t}& =& \left(\frac{P.C}{P.Y}\right){\widehat{C}}_{t}+\left(\frac{P.I}{P.Y}\right){\widehat{I}}_{t}+\left(\frac{P.G}{P.Y}\right){\widehat{G}}_{t}+\left(\frac{e{P}_{o}^{\star }{O}^{ex}}{P.Y}\right)\left({\widehat{s}}_{t}+{\widehat{p}}_{o,t}^{\star }+{\widehat{O}}_{t}^{ex}\right)+\left(\frac{{P}_{d}{Y}_{d}^{ex}}{P.Y}\right)\left({\widehat{p}}_{d,t}+{\widehat{Y}}_{d,t}^{ex}\right)-\left(\frac{e.{Y}_{m}}{P.Y}\right)\left({\widehat{s}}_{t}+{\widehat{Y}}_{m,t}\right)\end{array}$$
  19. 19.

    Markets clearing:

    $${\widehat{I}}_{t}=\left(\frac{{I}_{o}}{I}\right){\widehat{I}}_{o,t}+\left(\frac{{I}_{d}}{I}\right){\widehat{I}}_{d,t}$$
    $${\widehat{Y}}_{d,t}=\left(\frac{{Y}_{d}^{z}}{{Y}_{d}}\right){\widehat{Y}}_{d,t}^{z}+\left(\frac{{Y}_{d}^{ex}}{{Y}_{d}}\right){\widehat{Y}}_{d,t}^{ex}$$
    $${\widehat{Z}}_{t}=\left(\frac{C}{Z}\right){\widehat{C}}_{t}+\left(\frac{I}{Z}\right){\widehat{I}}_{t}+\left(\frac{G}{Z}\right){\widehat{G}}_{t}$$
    $${\widehat{Y}}_{o,t}=\frac{O}{{Y}_{o}}{\widehat{O}}_{t}+\frac{{O}^{ex}}{{Y}_{o}}{\widehat{O}}_{t}^{ex}$$
    $$\left(\frac{OS}{{Y}_{o}^{\star }}\right)({\widehat{OS}}_{t}-{\widehat{OS}}_{t-1})={\widehat{Y}}_{o,t}^{\star }+\left(\frac{{Y}_{o}}{{Y}_{o}^{\star }}\right){\widehat{Y}}_{o,t}-\left(\frac{{O}^{\star }}{{Y}_{o}^{\star }}\right){\widehat{O}}_{t}^{\star }-\left(\frac{O}{{Y}_{o}^{\star }}\right){\widehat{O}}_{t}$$
  20. 20.

    Exogenous processes:

    $${\widehat{\lambda }}_{t}={\rho }_{\lambda }{\widehat{\lambda }}_{t-1}^{\star }+{\epsilon }_{\lambda ,t}\hspace{0.33em}\hspace{0.33em}\hspace{0.33em}\text{for }\lambda =\left\{{Y}_{o}^{\star },{Y}^{\star },{Z}_{os},{A}_{o},{A}_{d},{\zeta }_{u},{\zeta }_{m},G\right\}$$

B. Data Sources

This appendix lists the time series used to construct the observable variables for the estimation. All series consist of 156 quarterly observations from 1983Q1 to 2021Q4.

Statistics Canada, Gross domestic product, expenditure-based (Table 36–10-0104–01), seasonally adjusted at annual rate:

  1. 1.

    Gross Domestic Product, Chained 2012 dollars.

  2. 2.

    Gross Domestic Product, current dollars.

  3. 3.

    Household final consumption expenditure, current dollars.

  4. 4.

    Business gross fixed capital formation, current dollars.

  5. 5.

    General governments final consumption expenditure, current dollars.

  6. 6.

    General governments gross fixed capital formation, current dollars.

  7. 7.

    Labor force. Statistics Canada (Table: 14–10-0017–01).

Federal Reserve Bank of St. Louis Databank:

  1. 8.

    Canadian Dollars to U.S. Dollar Spot Exchange Rate. (Identification code: EXCAUS)

  2. 9.

    Spot Crude Oil Price: West Texas Intermediate, Dollars per Barrel. (Identification code: WTISPLC)

  3. 10.

    U.S. Personal Consumption Expenditures. (Identification code: GDPDEF)

U.S. Energy Information Administration (EIA)

  1. 11.

    Oil Production in Canada, thousand barrels per day.

  2. 12.

    Oil Production in World, thousand barrels per day.

Personal Transformations:

  1. 13.

    GDP Deflator = (2)/(1).

  2. 14.

    Real Per Capita GDP (1)/(7)

  3. 15.

    Real Per Capita Consumption = (3)/(13)/(7).

  4. 16.

    Real Per Capita Investment = (4)/(13)/(7).

  5. 17.

    Real Per Capita Government Expenditure = [(5) + (6)]/(13)/(7).

  6. 18.

    Per Capita Oil Production in Canada = (11)/(7).

  7. 19.

    Per Capita Oil Production in the Rest Of World = [(11)-(12)]/(7).

  8. 20.

    Real Exchange Rate = [(10)*(8)])/(13).

  9. 21.

    Real Price of Oil = (9)/(10).

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Somé, J. Oil Demand and Supply Shocks in Canada’s Economy. J. Quant. Econ. 21, 363–394 (2023). https://doi.org/10.1007/s40953-023-00339-w

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