15
Feb
2017
Spatial Econometrics methods using Stata.
with Dr. Marcos Herrera Gómez (Institute for Labour Studies and Economic Development-IELDE, Dep. of Economics, National University of Salta, Argentina)
09:00 am
12:30 pm
For inquiries:
trainings@liser.lu

Abstract

LISER TRAINING SESSION “SPATIAL ECONOMETRICS ANALYSIS USING STATA” This short training will give participants the opportunity to learn about exploratory spatial data analysis and econometrics tools to understand how and when they should be used by a social sciences researcher. They will familiarize with dealing with spatial data analysis, showing the potential of spatial econometrics to capture spill-overs effects in several applied problems. The training session will include empirical examples to show how to analyze spatial data, how to specify econometric models and how to interpret the estimated effects. At the end of the training, participants should be able to: • Understand principles of exploratory spatial data analysis; • Understand different spatial models for cross-section data; • Understand different estimation methods and techniques to specify models in spatial panel data. Requirements. No particular knowledge in economics is required to attend the training, but is recommendable an intermediate level in econometrics or statistical techniques. This is an applied course with hands-on exercises requiring the use of computers and Stata 14 that will be provided on location, therefore there is a limited number of participants. Dr. Marcos Herrera (Ph.D. University of Zaragoza) is Adjoint Researcher at the National Scientific and Technical Research Council - Argentina – (CONICET) and Visiting Scholar at LISER. Marcos's work includes a series of papers dealing with spatial econometrics – theoretical and empirical publications -. One part of his work is on the development of non-parametric methods, testing for spatial effects in seemingly unrelated regressions, spatial causality test and the selection of spatial weighting matrix. A second part of his work is on empirical detection of spatial spill-overs of R&D private investment using panel data, detection of spatial effects in multilevel models, spatial determinants of wage inequality and about causality between migration and unemployment in cross-section data. The output from his work has been published in peer-reviewed international journals, including Papers in Regional Science, Spatial Economic Analysis, Research policy and Journal of Regional Research. DATE & TIME Feb 15, 2017. 9:00 am - 12:30 pm, with a coffee break. LISER computer Lab, MSH, 1st floor.