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. • Don’t forget Qualitative tools • Conditions • Levels • Education requirements

3. Conditions • Type of analysis • Data base available • Quality of data • How deep and precise the analysis is • Theoretical framework

4. Theoretical framework • Crucial to circumscribe the analysis • (see Krugman post in his blog....) • http://krugman.blogs.nytimes.com/2013/11/17/what-to-do-when-youre-wrong/?_r=0 • 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