Dr Andrea Ingianni

About

I am a Senior Lecturer in the Faculty of Business, Law and Social Sciences. My background is in macroeconomics and policy and I especially enjoy the quantitative part of my work.

My research interests range from economic growth, development and integration to econometrics. I focus on the empirical investigation of economic convergence, the role of institutions and international trade in transition countries. Within this context, I am currently exploring the application of unsupervised learning algorithms in connection with the theory of stochastic processes. My recent work extends to asymptotic sampling-theoretic and Bayesian approaches to causal inference and estimation. I share my activity with doctoral students and research assistants in the Department of Economics where I am the editor of the Economics Discussion Papers series. I welcome new supervisions and collaborations in these areas.

I take an active role in contributing to students achievement. I am a Fellow of the Higher Education Academy and I teach a range of undergraduate and postgraduate modules in applied and theoretical macroeconomics, econometrics, statistics and mathematics. I also act as Economics Admissions Tutor and I am looking forward to meeting new applicants and prospective students at Economics Open Days.

Academic responsibilities

Senior Lecturer

Qualifications

  • PhD in Economics (Kingston University)
  • MSc in Business and Economic Forecasting (Kingston University)
  • Laurea in Economia e Commercio (Universita' Cattolica del Sacro Cuore)
  • Fellow of the Higher Education Academy
  • Postgraduate Certificate in Higher Education

Teaching and learning

I take an active role in contributing to students achievement. I am a Fellow of the Higher Education Academy and I teach a range of undergraduate and postgraduate modules in applied and theoretical macroeconomics, econometrics, statistics and mathematics.

Qualifications and expertise

  • Fellow of the Higher Education Academy
  • Postgraduate Certificate in Higher Education

Undergraduate courses taught

Research

My research interests range from economic growth, development and integration to econometrics. I focus on the empirical investigation of economic convergence, the role of institutions and international trade in transition countries. Within this context, I am currently exploring the application of unsupervised learning algorithms in connection with the theory of stochastic processes. My recent work extends to asymptotic sampling-theoretic and Bayesian approaches to causal inference and estimation. I share my activity with doctoral students and research assistants in the Department of Economics where I am the editor of the Economics Discussion Papers series. I welcome new supervisions and collaborations in these areas.

Areas of specialism

  • Macroeconomics and Policy
  • Econometrics and Mathematical Economics

Leadership and management

I also act as Economics Admissions Tutor and I am looking forward to meeting new applicants and prospective students at Economics Open Days.