Job Nmadu, Professor of Agricultural Economics specializing in Econometrics

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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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Skills

Data Collection, Wrangling, Analysis and Visualisation

85%

Leadership, Administration and Coordination

80%

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

70%

Research, Consultancy, Collaboration and Networking

75%

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.

DOI

Recent R-Blogs

Introduction This blog is a new function, treatment_model that have been added to the Dyn4cast package. The function provides means for enhanced estimation of propensity score and treatments effects from randomized controlled designed experiments. Observational study involves the evaluation of outcomes of participants not randomly assigned treatments or exposures. To be able to assess the effects of the outcome, the participants are matched using propensity scores (PSM). This then enables the determination of the effects of the treatments on those treated against those who were not treated.

Introduction This blog is about world happiness ladder using the world happiness report data sets (Helliwell et. al., 2024). The basic objective is to demonstrate the use of panel data which is quite distinct from cross-sectional or time series data. Global happiness ladder Cross-sectional happiness ladder for 2023 Fixed time, it is cross-sectional Times series vs. panel data visualisation Each line is a timeseries but together, it is panel data

Introduction This blog is about two new functions, Model_factors and garrett_ranking that have been added to the Dyn4cast package. The two functions provides means for gaining deeper insights into the meaning behind Likert-type variables collected from respondents. Garrett ranking provides the ranks of the observations of the variables based on the level of seriousness attached to it by the respondents. On the other hand, Model factors determines and retrieve the latent factors inherent in such data which now becomes continuous data.

Software

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

Recent Posts

Accomplish­ments

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

Experience

 
 
 
 
 

Professor

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.

Contact

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