This book discusses the estimation, simulation, and interpretation of models with multiple outcomes, when these outcomes are either ordered or unordered, against the backdrop of examples relating to socioeconomic inequality. The book includes exposition of the important distinction between odds-ratios and risk-ratios, logit versus probit (and, vice-versa) as well as a step-by-step explanation of the practical computing procedures that underpin the analysis.
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1 of 1 people found the following review helpful:
3.0 out of 5 stars
Only Stata,
By I Teach Typing (Stanford, CA USA) - See all my reviews
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This review is from: Logit and Probit: Ordered and Multinomial Models (Quantitative Applications in the Social Sciences) (Paperback)
If you are looking for an applied logistic book that has the useful code and/or applied instructions (for anything other than STATA) keep looking. The writing in this book is solid and there is a nice appendix with STATA code but the book is of very limited value if you are trying to use R, SAS or SPSS to do analyses. If you want similar ideas but with SAS or SPSS help try O'Connell's extremely well written book Logistic Regression Models for Ordinal Response Variables (Quantitative Applications in the Social Sciences).
0 of 2 people found the following review helpful:
3.0 out of 5 stars
Non Fiction,
By Blue Tyson "- Research Finished" (Legion clubhouse) - See all my reviews
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This review is from: Logit and Probit: Ordered and Multinomial Models (Quantitative Applications in the Social Sciences) (Paperback)
A look at a particular mathematical technique for investigating models with several outcomes. The author looks at both the logit and probit models, and briefly mentions others, and gives some detail and examples of logistic multinomial regression and other application sof this mathematical theory. Quite a useful little text.
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First Sentence:
Kenneth Tynan, the theatre critic, once famously described his profession as consisting of people "who know the way, but can't drive the car." Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multiple outcome models, ethnic probabilities, mildly deprived, unordered outcomes, deprivation gap, deprivation levels, ordered logit model, ethnic disadvantage, deprivation index, overall disadvantage, characteristics disadvantage, deprivation score, predicted probabilities, multinomial logit model, determining variables, logit estimates, equation specification Key Phrases - Capitalized Phrases (CAPs): (learn more)
Northern Ireland, Coefficient Standard Error, Percentiles Smallest, Sum of Wgt, Largest Standard Deviation, Calculating Marginal Effects, Continuous Variables, Probability Observed New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Kenneth Tynan, the theatre critic, once famously described his profession as consisting of people "who know the way, but can't drive the car." Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multiple outcome models, ethnic probabilities, mildly deprived, unordered outcomes, deprivation gap, deprivation levels, ordered logit model, ethnic disadvantage, deprivation index, overall disadvantage, characteristics disadvantage, deprivation score, predicted probabilities, multinomial logit model, determining variables, logit estimates, equation specification Key Phrases - Capitalized Phrases (CAPs): (learn more)
Northern Ireland, Coefficient Standard Error, Percentiles Smallest, Sum of Wgt, Largest Standard Deviation, Calculating Marginal Effects, Continuous Variables, Probability Observed New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 64
books:
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- Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences) by John H. Aldrich in Front Matter, and Back Matter
- Analysis of Variance (Quantitative Applications in the Social Sciences) by Gudmund R. Iversen in Back Matter
- Expert Systems (Quantitative Applications in the Social Sciences) by Robert A. Benfer in Back Matter
- Linear Programming by James P. Ignizio in Back Matter
- Tests of Significance (Quantitative Applications in the Social Sciences) by Ramon E. Henkel in Back Matter
See all 64 books this book cites
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