This paper assesses the dynamic pass-through of crude oil price shocks to retail fuel prices using a novel database on monthly retail fuel prices for 162 countries. The impulse response functions suggest that on average, a one cent increase in crude oil prices per liter translates into a 1.2 cent increase in the retail gasoline price at peak level six months after the shock. However, the estimates vary significantly across country groups, ranging from about 0.5 cent in MENA countries to two cents in advanced economies. The results also show that positive oil price shocks have a larger impact than negative price shocks on the retail gasoline price. Finally, the paper underscores the importance of the new dataset in refining estimates of the fiscal cost of incomplete pass-through.

This paper investigates the response of consumer price inflation to changes in domestic fuel prices, looking at the different categories of the overall consumer price index (CPI). We then combine household survey data with the CPI components to construct a CPI index for the poorest and richest income quintiles with the view to assess the distributional impact of the pass-through. To undertake this analysis, the paper provides an update to the Global Monthly Retail Fuel Price Database, expanding the product coverage to premium and regular fuels, the time dimension to December 2020, and the sample to 190 countries. Three key findings stand out. First, the response of inflation to gasoline price shocks is smaller, but more persistent and broad-based in developing economies than in advanced economies. Second, we show that past studies using crude oil prices instead of retail fuel prices to estimate the pass-through to inflation significantly underestimate it. Third, while the purchasing power of all households declines as fuel prices increase, the distributional impact is progressive. But the progressivity phases out within 6 months after the shock in advanced economies, whereas it persists beyond a year in developing countries.

This paper investigates the impact of domestic fuel price increases on export growth in a sample of 77 developing countries over the period 2000-2014. Using a fixed-effect estimator and the local projection approach, we find that an increase in domestic gasoline or diesel price adversely affects real non-fuel export growth, but only in the short run as the impact phases out within two years after the shock. The results also suggest that the negative effect of fuel price increase on exports is mainly noticeable in countries with a high-energy dependency ratio and countries where access to an alternative source of energy, such as electricity, is constrained, thus preventing producers from altering energy consumption mix in response to fuel price changes.

We estimate the dynamic effects of changes in retail energy prices on inflation using a novel monthly database, covering 110 countries over 2000:M1 to 2016:M6. We find that (i) inflation responds positively to retail energy price shocks, with effects being, on average, modest and transitory. However, our results suggest significant heterogeneity in the response of inflation to these shocks owing to differences in factors related to labor market flexibility, energy intensity, and monetary policy credibility. We also find compelling evidence of asymmetric effects—under sufficiently large shocks—in the case of high-income and low-income countries, with increases in retail fuel prices inducing larger effects on inflation than decreases in fuel prices.

Inflation rates rose sharply in the Philippines during 2018. Understanding the demand and supply sources of inflation pressures is key to monetary policy response. Qualitatively, indicators have pointed to evidence of inflation pressures from both sides in 2018, with the supply factors, by and large, associated with commodity-price shocks and demand factors deduced from gleaning at the wider non-oil trade deficits seen in the Philippines. Quantitatively, we deploy a semi-structural model to decompose the contributions of various shocks to inflation. Our main findings are (1) supply factors (mainly global commodity prices) played a prominent role in explaining the rise in inflation in 2018; (2) demand factors also contributed to inflation in a non-negligible way, justifying the need for tighter monetary policy in 2018; (3) the size of the estimated output gap (an important indicator of demand pressures) could be larger, when considering the widening trade deficits in 2018; and (4) a delayed monetary policy tightening can be costly in terms of higher inflation rates, requiring larger and more aggressive interest rate hikes to bring inflation under control, based on a counterfactual exercise.

This book looks at the PPP persistence puzzle, and econometric aspects of exchange rate dynamics and their implications. It also explores the importance of exchange rate dynamics in the pass-through effects (PTE) and the econometric aspects of the exchange rates dynamics linked to structural shocks on different economies.