Background:

As part of the Food Security Portal, the International Food Policy Research Institute (IFPRI) is currently revising and extending the Excessive Food Price Variability Early Warning System. The revision and extension consist in expanding the coverage of commodity prices monitored on a regular basis. These commodity (futures) prices include energy prices, which are reported on a daily basis and fertilizer prices, which are reported on a weekly basis. The inclusion of these commodities requires revising and adapting the underlying model given the varying frequency of the modeled prices.

Scope of Work:

• • Revise the theoretical and computational aspects of the volatility warning system and underlying model.
  • Perform model programming.
  • Perform statistical and econometric estimations and analysis.
  • Perform report drafting.

Required Qualifications:

• • PhD degree in Economics, Statistics, or closely related field.
  • Extensive experience with econometric modelling.
  • Sound knowledge of semi and nonparametric regression models.
  • Sound knowledge of Matlab and Gauss.
  • Fluency in written and spoken English.
  • Excellent writing and analytical skills.
  • Excellent communication and interpersonal skills, along with the ability to work independently and with initiative.

Preferred Qualifications:

• • Familiarity with econometric models measuring market risk.
  • Familiarity with empirical finance models.
  • Sound publication record.

Application deadline: December 31, 2023