Quantitative Economics and Mathematics (ECM)
Members
Scientific and technical objectives
Objective: Quantitative Economics: Economic Analysis big data
- Propose new methods of signal extraction automating SSA to be applicable without decision-making "adhoc" which must be undertaken by analyst for its application nowadays.
- Improved methods of construction of indicators (e.g economic activity) using nonstationary dynamic factor analysis.
- Updating the dynamic factor model of regime change for the extraction of nonlinear signals in the cycle analysis and suit it to the prediction in real time.
- Application of methods of combining expert predictions by using PLS and SPLS to the prediction of economic indicators.
- Correction of bias in the specific factors by joint estimation of factorial model with common and specific factors.
- Evaluation of science policy, and specifically the Ramon y Cajal program.
- Design Human Resources practices in multinational companies (MNCs).
- Analysis of differences in employment rates by gender depending on the specialization in the formative stages.
Objective: Mathematical Economics: Economic models of decision making
- Economic implications of the existence of fair rules of collective decision making in organizations where individual decisions of economic agents involved in decision-making are conditioned by equality constraints.
- Analysis of the likelihood of conflict for collective decision rules.
- Creating a measure bias "to the Esteban-Ray" to analyze this phenomenon on two-dimensional variables observed.
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