You are here: HomeNewsUpcoming EventsICPSR 5-day workshop on Spatial-Econometric Analysis of Interdependence

Strict Standards: Declaration of JCacheControllerView::get() should be compatible with JCacheController::get($id, $group = NULL) in /home/regionalh/www/libraries/joomla/cache/controller/view.php on line 137

Strict Standards: Declaration of JParameter::loadSetupFile() should be compatible with JRegistry::loadSetupFile() in /home/regionalh/www/libraries/joomla/html/parameter.php on line 512

ICPSR 5-day workshop on Spatial-Econometric Analysis of Interdependence

Tuesday, 08 May 2018 15:50

ICPSR 5-day workshop on Spatial-Econometric Analysis of Interdependence, July 9-13 at the University of Michigan - Ann Arbor

Space is still available for the ICPSR 5-day workshop on Spatial-Econometric Analysis of  Interdependence, July 9-13 at the University of Michigan - Ann Arbor.

Spatial Econometrics

Instructor(s): Robert J. Franzese, University of Michigan

Do the outcomes in some units or individuals in your research analyses depend on outcomes in other units? That is, are the outcomes of interest in your studies likely contagious from units to neighboring units, or otherwise proximate or connected units? Do the processes you study diffuse across units in some manner? Are there spillovers across subjects? If you study anything in the social sciences, and likely most things beyond, almost certainly they are/do.

This workshop (July 9-13 in Ann Arbor) teaches empirical methods (focusing on spatial-autoregressive models) for modeling, for estimation, and for interpretation of such spatial (i.e., cross-unit) interdependence (a.k.a., contagion/diffusion/spillover/network-dependence...).

Applied (lab) sessions and exercises are bilingual, with lab scripts in Stata and R both available, and students are of course welcome to use other software as they prefer.

Register through the ICPSR Summer School portal, linked here:

The course description from the ICPSR website is linked here & copied below:

Spatial Econometrics


Robert J. Franzese, University of Michigan

Cross-unit (i.e., "spatial") interdependence is ubiquitous throughout the social sciences, and beyond. Events or outcomes in one observational unit are almost always related to similar occurrences in other observational units. This is so for such diverse phenomena as disturbances and conflicts within and among nations; consumer, investor, and producer choices in markets; individuals' opinions and behavior in societies; crime, health, and environmental outcomes; voting by citizens in elections or by legislators in legislatures; and policies in political jurisdictions. In such contexts, "standard" statistical methods (which assume independent observations) are inappropriate, and design-based methods of "causal inference" are, at best, inadequate. This workshop introduces strategies appropriate for interdependent observations, emphasizing spatial and spatiotemporal models of interdependent continuous and limited outcomes.

The main objective of the workshop is to demonstrate how such spatial, cross unit, interdependence can be incorporated into empirical analysis most productively. Course participants will learn how to: diagnose spatial-correlation patterns; estimate spatial-regression models; distinguish between different sources of spatial correlation (common exposure, contagion, and selection); and calculate and present the spatial and spatiotemporal effects that empirical models which incorporate interdependence imply. Methods to be covered include: measures of spatial association; instrumental-variable and maximum-likelihood estimators for regression models with spatial interdependence; multiple-spatial-lag models; spatial interdependence in models with limited and qualitative dependent-variables; and models for coevolutionary processes.

Tags: spatial econometrics, interdependent observations, spatial interdependence, interdependence, contagion, spillovers, diffusion

Location: ICPSR -- Ann Arbor, MI

Date(s): July 9 - July 13

Time: 9:00 AM - 5:00 PM

Read 2512 times

Anual Conferences

RSAI Programs 2019

Nurturing new talent 2019

Nurturing new talent 2019   The RSAI aims to continue promoting the development of Regional Science by nurturing new talent in 2018. The council has therefore pledged resources to co-finance worksho...

Building bridges 2019

Building bridges in regional science 2019 conference participation support   The RSAI will facilitate the participation of researchers from low-income and lower-middle-income economies (as defined ...

RSAI Programs Support 2015-2018

RSAI Programs Support 2015 2018 Página 1

Regional Science Main Schools

Photo Gallery

Hit Counter

This week0
This month8509


The Regional Science Association International (RSAI), founded in 1954, is an international community of scholars interested in the regional impacts of national or global processes of economic and social change.

Connect with us


Contact Us

  • RSAI - Regional Science Association International
  • Address: University of Azores, Oficce 155-156, Rua Capitão João D'Ávila, 9700-042 Angra do Heroísmo, Azores, Portugal
  • Email: This email address is being protected from spambots. You need JavaScript enabled to view it. 
  • Website:
  • RSAI Privacy Policy