Spatial Regression Models for Demographic Analysis

Name: Spatial Regression Models for Demographic Analysis
ISBN: 9781446286340

Salvatore Babones

doi:10.4135/9781446286340

Major Works

Spatial Regression Models for Demographic Analysis

Edited by:Salvatore Babones
Publisher: SAGE Publications Ltd
Series: SAGE Benchmarks in Social Research Methods
- Publication year: 2013
- Online pub date: September 28, 2015
Discipline: Quantitative/Statistical Research
DOI: https://doi.org/10.4135/9781446286340
Keywords:
statistical models
Show allShow less
Online ISBN: 9781446286340

More informationLess information

More informationLess information

Key Reading
All Readings

Full text

‘Spatial Regression Models for Demographic Analysis’, GuangqingChi and JunZhuPopulation Research and Policy Review, 27(1) (2008): 17–42. © Springer Science+Business Media B. V. 2007. Reprinted with kind permission from Springer Science and Business Media via Copyright Clearance Center's RightsLink service.

Chronology of Spatial Regression Models for Demographic Analysis

Volume I
icon angle down
- 1. An Orientation to Applied Statistical Modeling in the Social Sciences
  
  Salvatore Babones
- Variables and Colinearity
  icon angle down
  - 2. Explaining Interstate Conflict and War: What Should Be Controlled For?
    
    James Ray
    2003
    Conflict Management and Peace Science
  - 3. The Moderator–Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations
    
    Reuben Baron | David Kenny
    1986
    Journal of Personality and Social Psychology
  - 4. Understanding and Using Mediators and Moderators
    
    Amery Wu | Bruno Zumbo
    2008
    Social Indicators Research
  - 5. Collinearity, Power, and Interpretation of Multiple Regression Analysis
    
    Charlotte Mason | William Perreault
    1991
    Journal of Marketing Research
  - 6. A Caution Regarding Rules of Thumb for Variance Inflation Factors
    
    Robert O'Brien
    2007
    Quality & Quantity
  - 7. What to Do (and Not Do) with Multicollinearity in State Politics Research
    
    Kevin Arceneaux | Gregory Huber
    2007
    State Politics & Policy Quarterly
- Interaction Models
  icon angle down
  - 8. Theory Building and the Statistical Concept of Interaction
    
    Hubert Blalock
    1965
    American Sociological Review
  - 9. Testing for Interaction in Multiple Regression
    
    Paul Allison
    1977
    American Journal of Sociology
  - 10. In Defense of Multiplicative Terms in Multiple Regression Equations
    
    Robert Friedrich
    1982
    American Journal of Political Science
  - 11. Hypothesis Testing and Multiplicative Interaction Terms
    
    Bear Braumoeller
    2004
    International Organization
  - 12. Understanding Interaction Models: Improving Empirical Analyses
    
    Thomas Brambor | William Clark | Matt Golder
    2006
    Political Analysis
- Multilevel Models
  icon angle down
  - 13. Modeling Multilevel Data Structures
    
    Marco Steenbergen | Bradford Jones
    2002
    American Journal of Political Science
  - 14. Multilevel Models: Methods and Substance
    
    Thomas DiPrete | Jerry Forristal
    1994
    Annual Review of Sociology
  - 15. Multilevel Analysis in Public Health Research
    
    Ana Diez-Roux
    2000
    Annual Review of Public Health
  - 16. Multilevel Modeling: A Review of Methodological Issues and Applications
    
    Robert Dedrick | John Ferron | Melinda Hess | Kristine Hogarty | Jeffrey Kromrey | Thomas Lang | John Niles | Reginald Lee
    2009
    Review of Educational Research
  - 17. Sufficient Sample Sizes for Multilevel Modeling
    
    Cora Maas | Joop Hox
    2005
    Methodology
Volume II
icon angle down
- Models for Panel Data
  icon angle down
  - 18. Panel Models in Sociological Research: Theory into Practice
    
    Charles Halaby
    2004
    Annual Review of Sociology
  - 19. Problems with Repeated Measures Analysis: Demonstration with a Study of the Diversification and Performance Relationship
    
    Donald Bergh
    1995
    Academy of Management Journal
  - 20. Modeling Error in Quantitative Macro-comparative Research
    
    Salvatore Babones
    2009
    Journal of World-Systems Research
  - 21. Advances in Analysis of Longitudinal Data
    
    Robert Gibbons | Donald Hedeker | Stephen DuToit
    2010
    Annual Review of Clinical Psychology
- Time Series Cross-Sectional Analysis
  icon angle down
  - 22. What to Do (and Not to Do) with Time-Series Cross-Section Data
    
    Nathaniel Beck | Jonathan Katz
    1995
    American Political Science Review
  - 23. Sense and Sensitivity in Pooled Analysis of Political Data
    
    Bernhard Kittel
    1999
    European Journal of Political Research
  - 24. Dirty Pool
    
    Donald Green | Soo Kim | David Yoon
    2001
    International Organization
  - 25. Time-Series–Cross-Section Data: What Have We Learned in the Past Few Years?
    
    Nathaniel Beck
    2001
    Annual Review of Political Science
  - 26. A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications
    
    Sven Wilson | Daniel Butler
    2007
    Political Analysis
- Spatial Models
  icon angle down
  - 27. Spatial Autocorrelation: Trouble or New Paradigm?
    
    Pierre Legendre
    1993
    Ecology
  - 28. “The Problem of Spatial Autocorrelation” and Local Spatial Statistics
    
    A. Fotheringham
    2009
    Geographical Analysis
  - 29. Under the Hood: Issues in the Specification and Interpretation of Spatial Regression Models
    
    Luc Anselin
    2002
    Agricultural Economics
  - 30. Spatial Regression Models for Demographic Analysis
    
    Guangqing Chi | Jun Zhu
    2008
    Population Research and Policy Review
  - 31. Space Is More Than Geography: Using Spatial Econometrics in the Study of Political Economy
    
    Nathaniel Beck | Kristian Gleditsch | Kyle Beardsley
    2006
    International Studies Quarterly
Volume III
icon angle down
- Logistic Regression
  icon angle down
  - 32. An Introduction to Logistic Regression Analysis and Reporting
    
    Chao-Ying Peng | Kuk Lee | Gary Ingersoll
    2002
    The Journal of Educational Research
  - 33. A Tutorial in Logistic Regression
    
    Alfred DeMaris
    1995
    Journal of Marriage and Family
  - 34. Logistic Regression: Description, Examples, and Comparisons
    
    S. Morgan | Jay Teachman
    1988
    Journal of Marriage and Family
  - 35. Binary Response Models: Logits, Probits and Semiparametrics
    
    Joel Horowitz | N. Savin
    2001
    Journal of Economic Perspectives
  - 36. Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do about It
    
    Carina Mood
    2010
    European Sociological Review
- Multinomial Logit
  icon angle down
  - 37. A Primer for Social Worker Researchers on How to Conduct a Multinomial Logistic Regression
    
    Carrie Petrucci
    2009
    Journal of Social Service Research
  - 38. Multinomial Probit and Multinomial Logit: A Comparison of Choice Models for Voting Research
    
    Jay Dow | James Endersby
    2004
    Electoral Studies
  - 39. A Conceptual Framework for Ordered Logistic Regression Models
    
    Andrew Fullerton
    2009
    Sociological Methods & Research
- Poisson Regression
  icon angle down
  - 40. Analysis of Count Data Using Poisson Regression
    
    M. Hutchinson | Matthew Holtman
    2005
    Research in Nursing & Health
  - 41. The Analysis of Count Data: Overdispersion and Autocorrelation
    
    David Barron
    1992
    Sociological Methodology
  - 42. Negative Multinomial Regression Models for Clustered Event Counts
    
    Guang Guo
    1996
    Sociological Methodology
  - 43. A Comparison of Poisson, Negative Binomial, and Semiparametric Mixed Poisson Regression Models: With Empirical Applications to Criminal Careers Data
    
    Kenneth Land | Patricia McCall | Daniel Nagin
    1996
    Sociological Methods & Research
- Instrumental Variables
  icon angle down
  - 44. Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments
    
    Joshua Angrist | Alan Krueger
    2001
    Journal of Economic Perspectives
  - 45. Controlling for Endogeneity with Instrumental Variables in Strategic Management Research
    
    Guilhem Bascle
    2008
    Strategic Organization
  - 46. Model Specification in Instrumental-Variables Regression
    
    Thad Dunning
    2008
    Political Analysis
  - 47. That Instrument Is Lousy! In Search of Agreement When Using Instrumental Variables Estimation in Substance Use Research
    
    Michael French | Ioana Popovici
    2011
    Health Economics
Volume IV
icon angle down
- Structural Equation Modeling
  icon angle down
  - 48. Path Analysis: Sociological Examples
    
    Otis Duncan
    1966
    American Journal of Sociology
  - 49. Structural Equation Models
    
    William Bielby | Robert Hauser
    1977
    Annual Review of Sociology
  - 50. Practical Issues in Structural Modeling
    
    P. Bentler | Chih-Ping Chou
    1987
    Sociological Methods & Research
  - 51. Total, Direct, and Indirect Effects in Structural Equation Models
    
    Kenneth Bollen
    1987
    Sociological Methodology
  - 52. Principles and Practice in Reporting Structural Equation Analyses
    
    Roderick McDonald | Moon-Ho Ho
    2002
    Psychological Methods
  - 53. Instrumental Variables in Sociology and the Social Sciences
    
    Kenneth Bollen
    2012
    Annual Review of Sociology
- Latent Variable Models
  icon angle down
  - 54. Confirmatory Factor-Analytic Structures and the Theory Construction Process
    
    Ronald Burt
    1973
    Sociological Methods & Research
  - 55. Latent Variables in Psychology and the Social Sciences
    
    Kenneth Bollen
    2002
    Annual Review of Psychology
  - 56. Specification, Evaluation, and Interpretation of Structural Equation Models
    
    Richard Bagozzi | Youjae Yi
    2012
    Journal of the Academy of Marketing Science
  - 57. Latent Variable Models under Misspecification: Two-Stage Least Squares (2SLS) and Maximum Likelihood (ML) Estimators
    
    Kenneth Bollen | James Kirby | Patrick Curran | Pamela Paxton | Feinian Chen
    2007
    Sociological Methods & Research
  - 58. The Fallacy of Formative Measurement
    
    Jeffrey Edwards
    2011
    Organizational Research Methods

Sign in to access this content

Get a 30 day FREE TRIAL

Watch videos from a variety of sources bringing classroom topics to life
Read modern, diverse business cases
Explore hundreds of books and reference titles

Spatial Regression Models for Demographic Analysis

Key Reading

All Readings

Entry

Table of Contents

Volume I

Variables and Colinearity

Interaction Models

Multilevel Models

Volume II

Models for Panel Data

Time Series Cross-Sectional Analysis

Spatial Models

Volume III

Logistic Regression

Multinomial Logit

Poisson Regression

Instrumental Variables

Volume IV

Structural Equation Modeling

Latent Variable Models

Sign in to access this content

Get a 30 day FREE TRIAL

Sage Recommends

No internet connection.

All search filters on the page have been cleared.

Your search has been saved.

Spatial Regression Models for Demographic Analysis

Key Reading

All Readings

Entry

Table of Contents

Volume I

Variables and Colinearity

Interaction Models

Multilevel Models

Volume II

Models for Panel Data

Time Series Cross-Sectional Analysis

Spatial Models

Volume III

Logistic Regression

Multinomial Logit

Poisson Regression

Instrumental Variables

Volume IV

Structural Equation Modeling

Latent Variable Models

Sign in to access this content

Get a 30 day FREE TRIAL

Read next

More like this

Sage Recommends