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NOVA Applied Economics & Analytics Lab

APPLIED ECONOMICS TOPO

The NOVA Applied Economics & Analytics Lab is dedicated to applying data-driven techniques used in various areas of modern applied economics, including econometric-related (time-series forecasting, macroeconomics/microeconomics, causal inference); and thematic areas (such as quantitative science & technology studies, energy economics & sustainability, data-driven public procurement, Economic Complexity, and economic geography).

Areas

  • Applied Econometrics
  • Macroeconomic Forecasting
  • Time-Series Analysis
  • Causal Inference
  • Impact Assessment
  • Governance and Better Regulation
  • Microsimulation and Agent-based Modeling
  • Data-Driven Public Procurement
  • Quantitative Science & Technology Studies
  • Energy Economics and Sustainability
  • Economic Complexity
  • Economic Geography

Some projects

  • Statistical Information for Better Regulation
  • Productivity Growth and Resource Efficiency through EU Incentive System Evaluation
  • Improving the Efficiency and Transparency of Procurement in Portugal with a Focus on Strengthening the Control Framework, Tribunal de Contas
  • Evaluation of Climate Change Policies cofinanced by European Funds.
  • Sustainable Public Procurement Public Procurement with a Positive Impact on the Planet and People
  • More Effective, Efficient and Accountable Environmental Permits and Inspections in Portugal
  • Assessing the Potential for Improving Happiness through a Better Distribution of Workers across the Territory

Mission

The NOVA Applied Economics & Analytics Lab is dedicated to applying data-driven techniques used in various areas of modern applied economics, including econometric-related (time-series forecasting, macroeconomics/microeconomics, causal inference); and thematic areas (such as quantitative science & technology studies, energy economics & sustainability, data-driven public procurement, Economic Complexity, and economic geography). Our goal is to explore how Social and Techno-Economic dynamics interact as complex systems. We aim to understand the forces shaping our ever-evolving societal and regulatory landscapes.

Goals

Push forward data-driven techniques in various areas of modern applied economics and understand the various forces shaping our ever-evolving societal, and regulatory landscapes.