Job Nmadu, Professor of Agricultural Economics specializing in Econometrics

Academic, Teacher, Researcher, Consultant, Administrator and Community Leader with skills in Data Science and Machine Learning Modelling with R; Computable General Equilibrium Modellng with GAMS and Students Advisor (Undergraduates, Masters and Doctoral).

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Data Collection, Wrangling, Analysis and Visualisation


Leadership, Administration and Coordination


Modelling, Data Science, Machine Learning, R/CGE Programming


Research, Consultancy, Collaboration and Networking


Recent Publications

(2022). Structural Analysis and Forecast of Nigerian Monthly Inflation Movement between 1996 and 2022. 29th International RAIS Conference on Social Sciences and Humanities, American University, in Washington DC, USA, August 14- 15.


(2021). Drivers of extension services among IFAD-VCDP farmers in Central Nigeria. 21st National Conference of the Nigerian Association of Agricultural Economists held at The Federal University of Lafia, between 18th and 20th October.

(2021). Ability to Minimize Cost or Maximize Income: Evidence from Women Marketers Participating in Donor-Assisted Programmes in Niger State, Nigeria. 64th Annual Conference of Association of Deans of Agriculture in Nigeria Universities (ADAN). Faculty of Agriculture, Shabu-Lafia Campus, Nasarawa State University, Keffi, Nigeria, between 15th and 18th August.

Recent R-Blogs

Introduction In the 933 days since the first COVID-19 case was reported on February 29, 2020 in Nigeria, about 267,511 cases have been recorded with 1.18% fatalities. Except for Kogi State which Government refused monitoring laboratories to be setup in her health facilities for confirming and managing COVID-19, cases have been recorded on regular basis in the other 35 states and Abuja, the Federal Capital. However, the frequency of cases vary from state to state.

Load library and the data The data is scrapped from the website of the Nigerian Centre for Disease Control (NCDC) i.e (NCDC 2020). The scrapping was done with some bits of tricks. Please see my post on that. The BREAKS were established from the visual inspection of the data (see (Nmadu, Yisa, and Mohammed 2009)) library(tidyverse) library(splines) library(Metrics) library(scales) library(readxl) library(patchwork) library(Dyn4cast) BREAKS <- c(70, 131, 173, 228, 274, 326) z.

Introduction The advent of the COVID-19 pandemic really put everyone in confusion and as the days, weeks went-by, everyone was trying to understand the trend and the direction of the incidence. While the medicals were in their labs trying to understand the anatomy of the various, various statisticians and data scientists were trying to model the trend so as to guide future actions and preparations. One of the early models was done for Australia by (Krispin and Byrnes 2020).


Time-varying dynamic forecast, machine learning metrics, linear systems transformation, Mallow’s Cp of economic data for …

Recent Posts


Introduction to data Scieence

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E-Platform on Weather and Climate Services for Resilience development: A Guide for Practitioners and Policy makers

Certified VIRT2UE Traine

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Practical General Equilibrium Modelling with GAMS

Advanced Leadership Seminar




The Federal University of Technology

Oct 2006 – Present Minna

Responsibilities include:

  • Teaching, Research and Community Development
  • Head of Department
  • Director and industrial Liaison Officer
  • Dean of Faculty
  • Consultancies, Networking and Collaborations

Chief Lecturer

The Federal Polytechic

Jan 1992 – Sep 2006 Bida
Lecturing, Research and Community Development.


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