Please circulate widely among your students, colleagues, and wider academic
networks. Please encourage them to email me, *[log in to unmask]
<[log in to unmask]>*, with any questions.
*SPACE still available, but TIME is running out, just 1 month remaining
until: *
The NEW & EXPANDED in 2022!* ICPSR Short Workshop:
*Spatial Econometrics: Empirical Analysis of Geospatial Association and
Cross-Unit Interdependence*
Robert (Rob) J. Franzese, Jr. ([log in to unmask])
Do the outcomes in the units or individuals of your research analyses
cluster geospatially, within networks, or in some other manner? Do some
units’ or individuals’ outcomes depend on outcomes in other
units/individuals? That is, are the outcomes of interest in your studies
likely contagious from units to neighboring 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 NEW & EXPANDED!* workshop (*June 6-17* (i.e. Mon-Fri, Mon-Fri) *2022,
10a-3p* (i.e. 10-12, 1-3) *Eastern US time; DUAL MODE: in-person in Ann
Arbor and virtual synchronous & recorded for asynchronous*) teaches
empirical methods for modeling, for estimating, and for the interpretation
of such spatial or cross-unit clustering or interdependence (a.k.a.,
contagion/diffusion/spillover/network-dependence...). *Now with more intro
to models and methods for spatial or geospatial clustering or heterogeneity
(as opposed to contagion/interdependence) and distinguishing between the
alternate sources of spatial association (common exposure, contagion,
network selection).
Applied (computer-lab) sessions and exercises are bilingual, i.e. with *lab
scripts in R and Stata both* available, and students are of course welcome
to use other software as they prefer.
Workshop participants retain access to all course materials and resources,
excepting the class-session recordings but including the instructor's
email, in perpetuity. Full course listing and detailed description below.
*REVIEW* and *REGISTER* through the ICPSR Summer School “Short Workshops”
Overview
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/summary>
and Schedule
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/websitePage:645d57e4-75eb-4769-b2c0-f201a0bfc6ce>
of
short workshops pages.
The registration button is to the bottom-right of the “Short Workshops”
Overview
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/summary>
page.
The brief course-description is here
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/websitePage:645d57e4-75eb-4769-b2c0-f201a0bfc6ce>;
the full course-description here
<https://custom.cvent.com/FAE9DDA176B54DE09B6D5062D5CD6CCD/files/f331b9f0057740e59499c275dac21815.pdf>;
and the (initial) syllabus here
<https://custom.cvent.com/FAE9DDA176B54DE09B6D5062D5CD6CCD/files/f9e7aa08df2346d3b299f98452160144.pdf>
.
*DISCOUNTS:*
1. Individuals currently affiliated with an ICPSR member institution
<https://www.icpsr.umich.edu/web/membership/administration/institutions>
receive
a discount on their registration fees.
2. Discount for Returning ICPSR Summer Program Participants: If you
participated in a previous ICPSR Summer Program, you will receive a 15%
discount on your registration fee in this year's ICPSR Summer Program. This
discount is available to anyone who took either four-week classes or short
workshops in any ICPSR Summer Program, last year or earlier. The discount
will be applied to the fees for both short workshops and the four-week
sessions in the current year's ICPSR Summer Program. You don't have to do
anything special to receive the discount. When you register, you will be
asked about your previous participation in the ICPSR Summer Program. Upon
verification of the information you provide, the discount will be applied
to your fees automatically.
*PLEASE FEEL FREE, ENCOURAGED EVEN, TO EMAIL ANY & ALL QUESTIONS ABOUT
THE SPATIAL-ECONOMETRICS WORKSHOP TO ME AT ([log in to unmask]
<[log in to unmask]>).*
************
The Links:
************
The ICPSR Summer School “Short Workshops” Overview
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/summary>
and Schedule
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/websitePage:645d57e4-75eb-4769-b2c0-f201a0bfc6ce>
pages.
The registration button is to the bottom-right of the “Short Workshops”
Overview
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/summary>
page.
The brief course-description for Spatial Econometrics is here
<https://web.cvent.com/event/fa6f81a0-1328-4ec3-8354-8831ea7a1dd1/websitePage:645d57e4-75eb-4769-b2c0-f201a0bfc6ce>;
the full course-description here
<https://custom.cvent.com/FAE9DDA176B54DE09B6D5062D5CD6CCD/files/f331b9f0057740e59499c275dac21815.pdf>
and
below; and the (initial) syllabus here
<https://custom.cvent.com/FAE9DDA176B54DE09B6D5062D5CD6CCD/files/f9e7aa08df2346d3b299f98452160144.pdf>
.
************************
The Full Description:
************************
*Spatial Econometrics: Empirical Analysis of Geospatial Association and
Cross-Unit Interdependence*
Instructor: Robert (Rob) J. Franzese, Jr. ([log in to unmask])
Course dates: June 6-17, 2022
Course times: 10:00 a.m.-3:00 p.m. Eastern
Registration Fee: ICPSR Member=$1,800; ICPSR Non-member=$3,300
Spatial (i.e., geospatial or otherwise cross-unit, a.k.a. network)
association and interdependence are ubiquitous throughout the social
sciences, and beyond. That is, 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 between nations; crime, health, and environmental outcomes;
economic and other policies in political jurisdictions; consumer, investor,
and producer choices in markets; individuals’ opinions and behavior in
societies; and voting by citizens in elections or by legislators in
legislatures. In contexts where this omnipresent cross-unit association (or
correlation) arises from interdependence (or contagion), "standard"
statistical methods (which assume independent observations) are
inappropriate, and design-based methods of "nonparametric causal-inference"
are (at best) inadequate. This workshop introduces strategies appropriate
for identifying and estimating spatial processes, distinguishing spatial
*association* from spatial *interdependence*, and for proper estimation and
interpretation of processes involving interdependent observations,
emphasizing spatial and spatiotemporal models of interdependent
(contagious) continuous and limited outcomes.
The core aim of the workshop is to demonstrate how such spatial, i.e. geo-
spatial or otherwise cross-unit, interdependence can be incorporated into
empirical analysis most productively. 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—from specification and
estimation of spatial models to inference and interpretation of spatial
effects—include:
- measures and tests of spatial association (Moran’s I, etc.);
- models and methods for (exogenous) spatial correlation and
spatial heterogeneity
(e.g., geographically weighted regression (GWR), spatial-hierarchical
random-component or multi-level models (S-MLM, and spatially lagged
regressor (SLX) or spatial error models (SEM));
- instrumental-variable (including 2SLS and GMM) and maximum-likelihood
(and Bayesian) estimators for models with (endogenous) spatial
interdependence
(spatially lagged dependent-variable models (SAR));
- multiple-source (SLX, SEM, SAR) and multiple-lag (multiple ‘*W*’)
spatial models;
- spatial interdependence in models with limited and qualitative
dependent-variables; and
- models for coevolutionary processes (i.e., processes with both spatial-
*cum*-network interdependence and
endogenous-connectivity/network-selection).
*Applied (computer-lab) sessions are bilingual, with all exercises and code
offered in both R and Stata* (except in two contexts where useful code
exists only in the one or the other).
*Workshop participants retain access to all course materials and resources,
excepting the class-session recordings but including the instructor's
email, in perpetuity.*
*Prerequisites:* None. Although participants should be familiar with linear
regression and models for qualitative/limited dependent variables (e.g.,
logit, probit, etc.), this workshop does not assume any prior knowledge of,
or experience with, spatial statistics. Indeed, all necessary mathematical,
statistical, geospatial-analytic, and spatial-econometric background will
be reviewed as needed, albeit (obviously) very quickly.
************
And again:
************
*PLEASE FEEL FREE, ENCOURAGED EVEN, TO EMAIL ANY & ALL QUESTIONS ABOUT
THE SPATIAL-ECONOMETRICS WORKSHOP TO ME AT ([log in to unmask]
<[log in to unmask]>).*
************
THANKS!
Rob
******************************************************************
ROBERT (ROB) J. FRANZESE, JR.
Professor & Associate Chair, Department of Political Science,
Edie N. Goldenberg Director, Michigan in Washington Program,
College of Literature, Science, & the Arts (5755 Haven Hall)
Director, Program in International & Comparative Studies,
International Institute (333 Weiser Hall)
Research Professor, Center for Political Studies,
Institute for Social Research (4256 I.S.R.)
THE UNIVERSITY OF MICHIGAN, ANN ARBOR
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Fellow & 15th (ex)President, The Society for Political Methodology
------------------------------------------------------------------
phone: 1-734-936-1850 http://www-personal.umich.edu/~franzese
******************************************************************
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