| In Memoriam | 6 |
|---|
| Preface | 10 |
|---|
| Postscript | 13 |
|---|
| Contents | 14 |
|---|
| 1 Introduction and Overview | 22 |
|---|
| 1.1 Themes and Format of the Book | 24 |
| 1.2 A Readers Guide to the Study | 26 |
| Part I Preliminaries | 27 |
|---|
| 2 Demand Theory Under Review | 28 |
|---|
| 2.1 Conventional Theory of Consumer Choice | 28 |
| 2.2 Neoclassical Demand Theory as a 19th-Century Conservative Energy System3 | 29 |
| 2.3 Dynamics: Some Preliminaries | 32 |
| 2.4 State- and Flow-Adjustment Models of Consumption | 34 |
| 2.5 A Neuroscience Approach to Consumer Behavior | 41 |
| 2.6 Brain Structure and Consumption Dynamics29 | 44 |
| 2.6.1 Assumptions and Terminologies | 45 |
| 2.6.2 Consumption Dynamics Associated with the Alpha and Beta Brains | 48 |
| 2.6.3 Opponent Processes and Consumption Dynamics39 | 50 |
| 2.6.4 Dynamics Associated with the Gamma Brain | 54 |
| 2.6.5 From Consumption to Expenditure | 56 |
| 2.6.6 Consumption/Income Relationships | 59 |
| 2.6.7 Rationality | 60 |
| 2.7 The Maslovian Needs Hierarchy | 61 |
| 2.7.1 Physiological Needs | 62 |
| 2.7.2 Security Needs | 62 |
| 2.7.3 Community and Affection (Love) Needs | 63 |
| 2.7.4 Esteem Needs | 63 |
| 2.7.5 Self-Actualization Need | 64 |
| 2.8 Some Implications of a Hierarchy of Needs | 64 |
| 2.9 Toward Empirical Application | 68 |
| 2.10 Emotions and Consumption Behavior70 | 69 |
| 2.11 Consumption Behavior and the Pursuit of Happiness | 71 |
| 2.12 Summary and Final Comments | 73 |
| 3 Quantile Regression: A Robust Alternative to Least Squares | 77 |
|---|
| 3.1 Some Background | 77 |
| 3.2 Quantile Regression | 79 |
| 3.3 Illustrations and Comparison | 81 |
| 3.4 Conclusion | 84 |
| Appendix: On a Bilateral Law of Pareto | 84 |
| 1 A Bilateral Power Law | 85 |
| 2 A Bilateral Pareto Regression Model | 88 |
| 3 An Illustration | 90 |
| 4 Conclusion | 93 |
| Part II Analyses of Data from BLS Consumer Expenditure Surveys | 95 |
|---|
| 4 Description of Data Used from the Ongoing BLS Consumer Expenditure Surveys | 96 |
|---|
| 4.1 Some Background and History1 | 96 |
| 4.2 The Current BLS Surveys6 | 98 |
| 4.3 Data Used in the Present Study | 100 |
| 4.4 Control Variables | 101 |
| 4.5 Combining CES Surveys and ACCRA Prices | 102 |
| 4.6 Levels of Aggregation | 103 |
| 5 Stability of U.S. Consumption Expenditure Patterns: 1996-1999 | 106 |
|---|
| 5.1 Principal Component Analyses of 14 CES Expenditure Categories | 106 |
| 5.2 Interpretation of Results | 115 |
| 5.3 Regression Models for PCs 1 and 2 | 117 |
| 5.4 Summary and Conclusions | 119 |
| 6 Price and Income Elasticities Estimated from BLS Consumer Expenditure Surveys and ACCRA Price Data: Some Preliminary Results | 124 |
|---|
| 6.1 Background and Merging of Data Sets | 124 |
| 6.2 Models Estimated | 126 |
| 6.3 Pooling Across Quarters and Years | 132 |
| 6.4 Effects of Other Variables | 135 |
| 6.5 Equations for Total Consumption Expenditure as Function of After-Tax Income | 137 |
| 6.6 Tests for Heteroscedastic Error Terms | 137 |
| 6.7 Nonlinear Logarithmic Engel Curves | 140 |
| 6.8 Conclusions | 142 |
| 7 Estimation of Theoretically Plausible Demand Functions from U.S. Consumer Expenditure Survey Data | 144 |
|---|
| 7.1 The Almost Ideal Demand System | 144 |
| 7.2 The Linear Expenditure System | 145 |
| 7.3 The Indirect Addilog Model9 | 148 |
| 7.4 The Direct Addilog Model | 149 |
| 7.5 Some Technical Obiter Dicta Concerning Estimation | 151 |
| 7.6 Discussion of Results | 153 |
| 7.7 Conclusions | 155 |
| 8 An Additive Double-Logarithmic Consumer Demand System | 156 |
|---|
| 8.1 An Additive Double-Logarithmic Demand System | 156 |
| 8.2 Application to the CES-ACCRA Data Set for the Four Quarters of 1996 | 157 |
| 8.3 Conclusions | 161 |
| 9 Quantile Regression Analysis of Asymmetrically Distributed Residuals | 163 |
|---|
| 9.1 Quantile Regression Estimation of the Additive Double-Logarithmic Model | 163 |
| 9.2 Price and Total-Expenditure Elasticities | 166 |
| 9.3 Conclusions | 167 |
| 10 CES Panel Dynamics: A Discrete-Time Flow-Adjustment Model | 172 |
|---|
| 10.1 Double-Logarithmic Flow-Adjustment Model | 172 |
| 10.2 Comparison with Static-Model Elasticities | 182 |
| 10.3 State- vs. Flow-Adjustment Behavior | 184 |
| 10.4 Conclusions | 186 |
| 11 Engel Curves for 29 Categories of CES Expenditure | 187 |
|---|
| 11.1 An Overview of the Results | 216 |
| 11.2 Size of Estimated Total-Expenditure Elasticities | 217 |
| 11.3 Interpretation of Total-Expenditure Elasticities in Terms of Maslovian Hierarchy of Needs | 220 |
| 11.4 Summary and Conclusions | 224 |
| 12 Summary of Cross-Sectional Results | 227 |
|---|
| 12.1 Stability of Expenditure Patterns | 227 |
| 12.2 Joining of ACCRA Price Data with CES Expenditure Surveys | 228 |
| 12.3 Summary of Price and Total-Expenditure Elasticities1 | 228 |
| 12.4 Estimation of Dynamical Cross-Sectional Models | 230 |
| 12.5 Effects of Other Variables | 231 |
| 12.6 Asymmetrical Residuals and Quantile Regression | 231 |
| 12.7 Cross-Price Elasticities | 232 |
| 12.8 Evidence for Maslovian Hierarchical Preferences | 232 |
| 12.9 A First Look at the Relationship between Total Consumption and After-Tax Income | 233 |
| 12.10 Epilogue to the CES Analysis: Update to 2005 | 233 |
| 12.11 Looking Ahead | 233 |
| Appendix: Addendum to the CES Analysis: Estimates of Total-Expenditure Elasticities for 24 Additional Quarters, 20002005 | 234 |
| Part III Analysis of Time-Series Data from National Income and Product Accounts | 239 |
|---|
| 13 Analysis of Time-Series Data on Personal Consumption Expenditures from the U.S. National Income and Product Accounts | 240 |
|---|
| 13.1 NIPA PCE Categories | 240 |
| 13.2 Generalization of the Flow- and State-Adjustment
|