VU
Virtual University of Pakistan
Federal Government University

Adjunct Faculty Profile

Dr. Bilal Mehmood
GC University, Lahore

PhD Economics

Ambition

I bear interest in interdisciplinary economic subjects, for instance Knowledge Economy, Digital Economy, Aviation Economics, Tourism Economics and Economics of Gender.

Current Engagements

ü  Teaching Students of MPhil and MS Classes, the subjects of Advanced Microeconomics, Cost Benefit Analysis, Advanced Mathematical Economics and Digital Banking.

ü  Supervising MPhil and MS thesis.

ü  Research on above-mentioned areas of interest.

Experience

ü  Permanent faculty member in Department of Economics, GC University Lahore.

ü  Regional Executive (Lahore) for Pakistan Gems and Jewellery Development Company (PGJDC).(2007-2008)

ü  Assistant Director (Planning, Evaluation & Research) at Punjab Small Industries Corporation, Head Office. (Dec. 2006 to Dec. 2007)

ü  Taught Master in ESME (under GCU-Strathclyde, (UK) Academic Link Program) the subject of Investment and Project Appraisal as Visiting Faculty. (2006-07)

ü  Worked in Global Network Services (US & UK Call Center) as Telesales person. (2003-04)

Formal Education

ü  PhD Economics GC University

ü  M.Phil. Economics GC University 3.01 GPA

ü  Masters in Economics (M.A) University of the Punjab 66% marks

ü  Baccalaureus Artium (B.A) University of the Punjab 63% marks

ü  Faculty of Sciences (F.Sc.) BISE 63% marks

ü  Matriculation in Science BISE 76% marks

ü  Diploma in Information Technology (DIT) PITB 76% marks

ü  Certificate in Information Technology (CIT) Quaid College

Computer Skills

Office Softwares: MS Office Pro 2013, Applied Data Analysis: Stata 12, DEAP, E-views 8, MS Excel. Shazam.

Econometric and Estimation Skills

Panel Data Estimation: (Panel Effect Models and its variants (Driscoll and Kraay Standard Errors and Generalized Least Squares), Instrumental Variable Regressions, Generalized Method of Moments, Panel Unit Roots, Panel Co-integration analysis and Panel Fully Modified Ordinary Least Squares (PFMOLS)).

Time Series Estimation: (Unit Roots, Co-integration analysis, Estimation of Co-integration Equation using Fully Modified and Dynamic Ordinary Least Squares (FMOLS and DOLS).

Efficiency Analysis: Non-Parametric Analysis using Data Envelopment Analysis (DEA). Super Efficiency Analysis (AP-DEA/CCR DEA), Stochastic Frontier Analysis (SFA).