1. 9th ERES Education Seminar
Interdisciplinary research and quantitative techniques
Paloma Taltavull de La Paz
Universidad de Alicante
Bratislava, December 2013

2. Agenda Quantitative tools for interdisciplinary education. Conditions
Don’t forget Qualitative tools
Conditions
Levels
Education requirements
Interdisciplinarity means the need to have special data belonging to different knowledge areas, and combine them.

3. Conditions Type of analysis Data base available
Quality of data
How deep and precise the analysis is
Theoretical framework
Multidisciplinarity suggest several types of analysis: time series, crossection, space base analysis,… and combination of methodologies. For instance, migration and housing price analysis. Valuation using space analysis…
DB and data quality are crucial for goo analysis

4. Theoretical framework
Crucial to circumscribe the analysis
(see Krugman post in his blog....)
Other analysis could be spurious or political driven more than academic
Theory determines the variable relationships… giving the key for model definition and testing
Not all theories are fully developed
Opportunity for applied economic analyst to add knowledge

5. Levels (1) Quantitative methodology depends on the level of analysis
Econometrics is a very dynamic topic
Aggregate
Time series … VAR framework
Crossection … panel data
Dissagregate analysis: local, spatial
Spatial econometrics

6. Levels (2) How deep the analysis is
Descriptive (it is not considered as analysis)
But in new or complex data, description is crucial
Testing hypothesis
Precise estimations: elasticities, forecasting

7. Education requirements
Applied economic academic is difficult job!
And worst in real estate
Needs to be well prepared and skilled in
theory,
data base management,
testing methods,
econometric methods,
…. And interpretation
Strong education in quantitative techniques
But not all at the same time… depending on the needs
But.. Be updated in econometric techniques