The book's comprehensive coverage on the application of econometric methods to empirical analysis of economic issues is impressive. It uncovers the missing link between textbooks on economic theory and econometrics and highlights the powerful connection between economic theory and empirical analysis perfectly through examples on rigorous experimental design. The use of data sets for estimation derived with the Monte Carlo method helps facilitate the understanding of the role of hypothesis testing applied to economic models.
Topics covered in the book are: consumer behavior, producer behavior, market equilibrium, macroeconomic models, qualitative-response models, panel data analysis and time-series analysis. Key econometric models are introduced, specified, estimated and evaluated. The treatment of methods of estimation in econometrics and the discipline of hypothesis testing makes it a must-have for graduate students of economics and econometrics and it will aid their understanding of how to estimate economic models and evaluate the results in terms of policy implications.
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ix | |
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xi | |
| Preface |
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xv | |
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1 | (9) |
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1 | (1) |
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1 | (4) |
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1.3 Introduction of stochastic concept |
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5 | (1) |
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1.4 Data sets derived from the Monte Carlo method |
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6 | (4) |
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10 | (41) |
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2.1 Theory of consumer behavior |
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10 | (5) |
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15 | (2) |
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2.3 How to generate a data set by the Monte Carlo method |
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17 | (1) |
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18 | (33) |
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50 | (1) |
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51 | (28) |
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3.1 Theory of producer behavior |
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52 | (3) |
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55 | (2) |
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3.3 How to generate a data set by the Monte Carlo method |
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57 | (4) |
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61 | (18) |
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78 | (1) |
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4 Market equilibrium models |
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79 | (32) |
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4.1 Theory of market equilibrium |
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80 | (4) |
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4.2 Identification problem |
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84 | (7) |
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4.3 Models: competitive, oligopolistic, and monopolistic markets |
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91 | (5) |
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4.4 How to generate a data set by the Monte Carlo method |
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96 | (5) |
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101 | (10) |
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110 | (1) |
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111 | (31) |
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112 | (5) |
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117 | (7) |
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5.3 How to generate a data set by the Monte Carlo method |
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124 | (4) |
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128 | (14) |
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141 | (1) |
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6 Microeconomic analysis using micro-data: qualitative-response models |
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142 | (25) |
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6.1 Qualitative-response models |
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143 | (7) |
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6.2 How to generate a data set by the Monte Carlo method |
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150 | (6) |
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156 | (9) |
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6.4 The merits of micro-data sets revisited |
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165 | (2) |
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166 | (1) |
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7 Microeconomic analysis using panel data |
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167 | (14) |
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167 | (6) |
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7.2 How to generate a data set by the Monte Carlo method |
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173 | (3) |
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176 | (5) |
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180 | (1) |
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8 Macroeconomic time-series analysis |
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181 | (16) |
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8.1 Characteristics of time series and time-series models |
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182 | (3) |
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8.2 How to generate a data set by the Monte Carlo method |
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185 | (1) |
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186 | (11) |
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195 | (2) |
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197 | (1) |
| Index |
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198 | |
Atsushi Maki is presently with the Department of Economics, Tokyo International University, Japan. He is Professor Emeritus of Economics at Keio University, Japan. Previously, he was Professor of Economics (1987-2009) at the Faculty of Business and Commerce, Keio University. He has been a visiting scholar at several universities such as Harvard University and the Australian National University, and has taught at several universities and institutions such as Osaka University, ESSEC (France), KSMS (Kenya) and Willamette University as a visiting professor. His main fields are empirical analysis of consumer behaviour and market behaviour.
Lisainfo e-raamatute kohta