Long Time Coming: Racial Inequality in the Nonmetropolitan South, 1940-1990

By Mark A. Fossett; M. Therese Seibert | Go to book overview

determinants of inequality included: relative minority size, industrial structure (manufacturing concentration), occupational structure (white-collar employment), structural demand for educated labor, urbanization, status diversity, labor market size, indigenous labor supply, women's participation in the labor force, economic growth, proximity to a metropolitan area, and indigenous labor supply. This is the list of "likely suspects" which guides our efforts to develop statistical models predicting variation in inequality across areas and over time (the results of which are presented in Chapters 4 and 5). Perhaps the strongest case is made for the effects of relative minority size where the "competition" hypothesis and the "White gains" hypothesis make particularly strong predictions that relative minority size will have a positive effect on racial inequality and where the "resource" hypothesis makes a prediction that after 1965 the adverse consequences of the "competition" and "White gains" effects may diminish.

As a concluding note we point out that not all of the variables listed above are directly represented in our final statistical models. The primary reasons for this are that our exploratory modeling efforts revealed that some variables simply did not have important effects on inequality (e.g., proximity to a metropolitan area) while other variables were empirically and/or conceptually redundant (e.g., whitecollar employment and structural demand for educated labor). Thus, we were forced to strike a balance between the goal of directly testing as many hypotheses about the determinants of racial inequality as was feasible and the goal of developing stable and trustworthy models which would permit such tests. The next two chapters carry us forward to the later chapters where the results of these modeling efforts are discussed. These two intervening chapters present an overview of our research design and measurement strategies and an overview of basic trends in inequality and structural characteristics of local areas.


Notes
1.
Technically, these studies were based on random samples of all counties. Under random sampling, however, most would have been non metropolitan.
2.
This study was a follow-up to a previous metropolitan-level analysis ( Blalock 1956).
3.
Measuring inequality in this way has certain limitations ( Fossett

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Long Time Coming: Racial Inequality in the Nonmetropolitan South, 1940-1990
Table of contents

Table of contents

  • Title Page v
  • Contents vii
  • Tables and Figures xi
  • Preface xv
  • 1 - Introduction 1
  • Notes 16
  • 2 - Determinants of Racial Inequality in Nonmetropolitan Areas 18
  • Notes 70
  • 3 - Measurement Issues 76
  • Notes 89
  • 4 - Trends in Inequality 91
  • Notes 126
  • 5 - Cross-Sectional Analyses 129
  • Notes 156
  • 6 - Longitudinal Analyses 159
  • Notes 185
  • 7 - Overview and Discussion 187
  • Appendix A - Measuring Inequality 195
  • Notes 224
  • Appendix B - Measuring Inequality with Census Occupation Data 229
  • Notes 246
  • Appendix C - Measures 248
  • Notes 258
  • References 261
  • Index 273
  • About the Book and Authors 285
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