Economic Models - Convex Optimization

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Contents Tom Oskar Martin Kronsjo: A Profile About the Editor Contributors Introduction Chapter 1: Methods of Modelling: Mathematical Programming Topic 1: Some Unresolved Problems of Mathematical Programming by Olav Bjerkholt ix xiii xv xix 1 3 Chapter 2: Methods of Modeling: Econometrics and Adaptive Control System 21 Topic 1: A Novel Method of Estimation Under Co-Integration 23 by Alexis Lazaridis Topic 2: Time Varying Responses of Output to Monetary and Fiscal Policy by Dipak R. Basu and Alexis Lazaridis 43 Chapter 3: Mathematical Modeling in Macroeconomics 67 Topic 1: The Advantages of Fiscal Leadership in an Economy with Independent Monetary Policies by Andrew Hughes Hallet Topic 2: Cheap-Talk Multiple Equilibria and Pareto — Improvement in an Environmental Taxation Games by Chirstophe Deissenberg and Pavel Ševčík 69 101 vii
viii Contents Chapter 4: Modeling Business Organization 119 Topic 1: Enterprise Modeling and Integration: Review and New Directions by Nikitas Spiros Koutsoukis Topic 2: Toward a Theory of Japanese Organizational Culture and Corporate Performance by Victoria Miroshnik 121 137 Topic 3: Health Service Management Using Goal Programming 151 by Anna-Maria Mouza Chapter 5: Modeling National Economies 171 Topic 1: Inflation Control in Central and Eastern European Countries by Fabrizio Iacone and Renzo Orsi Topic 2: Credit and Income: Co-Integration Dynamics of the US Economy by Athanasios Athanasenas 173 201 Index 223
Page 2 and 3: ECONOMIC MODELS Methods, Theory and
Page 4 and 5: ECONOMIC MODELS Methods, Theory and
Page 6 and 7: This Volume is Dedicated to the Mem
Page 10 and 11: Tom Oskar Martin Kronsjo: A Profile
Page 12 and 13: Tom Oskar Martin Kronsjo students t
Page 14 and 15: About the Editor Prof. Dipak Basu i
Page 16 and 17: Contributors Athanasios Athanasenas
Page 18: Contributors Victoria Miroshnik, is
Page 21 and 22: xx Introduction type of model is ve
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Page 27 and 28: 4 Olav Bjerkholt Among these was al
Page 29 and 30: 6 Olav Bjerkholt method, searching
Page 31 and 32: 8 Olav Bjerkholt context, but one o
Page 33 and 34: 10 Olav Bjerkholt be modified in th
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Page 37 and 38: 14 Olav Bjerkholt memoranda. These
Page 39 and 40: 16 Olav Bjerkholt hopelessly ineffe
Page 41 and 42: 18 Olav Bjerkholt References Arrow,
Page 47 and 48: 24 Alexis Lazaridis A straightforwa
Page 49 and 50: 26 Alexis Lazaridis where ⎛ ⎞ j
Page 51 and 52: 28 Alexis Lazaridis Estimating the
Page 53 and 54: 30 Alexis Lazaridis 5.1. Testing fo
Page 55 and 56: 32 Alexis Lazaridis by applying the
Page 57 and 58: 34 Alexis Lazaridis Nevertheless, t
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36 Alexis Lazaridis Table 2. Residu
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38 Alexis Lazaridis Table 3. Critic
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40 Alexis Lazaridis Figure 4. The s
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42 Alexis Lazaridis Perron, P and T
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44 Dipak R. Basu and Alexis Lazarid
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70 Andrew Hughes Hallet have, there
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72 Andrew Hughes Hallet other. The
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74 Andrew Hughes Hallet success in
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76 Andrew Hughes Hallet with a hori
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78 Andrew Hughes Hallet control inf
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80 Andrew Hughes Hallet Table 2. Fi
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82 Andrew Hughes Hallet country 13
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84 Andrew Hughes Hallet Given this
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86 Andrew Hughes Hallet 5.4. Instit
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88 Andrew Hughes Hallet Substitutin
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90 Andrew Hughes Hallet This is alw
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92 Andrew Hughes Hallet (d) Since E
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94 Andrew Hughes Hallet Table 3. Ex
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96 Andrew Hughes Hallet restraint m
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98 Andrew Hughes Hallet HM Treasury
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100 Andrew Hughes Hallet γ/(β −
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102 Chirstophe Deissenberg and Pave
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122 Nikitas Spiros Koutsoukis 2. Mo
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124 Nikitas Spiros Koutsoukis GRAI
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126 Nikitas Spiros Koutsoukis (3) U
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128 Nikitas Spiros Koutsoukis The m
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130 Nikitas Spiros Koutsoukis lower
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132 Nikitas Spiros Koutsoukis Some
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134 Nikitas Spiros Koutsoukis We be
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138 Victoria Miroshnik 2. Corporate
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140 Victoria Miroshnik Japanese NC
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142 Victoria Miroshnik process shou
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144 Victoria Miroshnik National cul
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146 Victoria Miroshnik A1 A2 A3 D1
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148 Victoria Miroshnik Fujino, T (1
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152 Anna-Maria Mouza of salaries of
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154 Anna-Maria Mouza Table 2. final
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156 Anna-Maria Mouza Table 4. Worki
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158 Anna-Maria Mouza 3.2.2. Personn
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160 Anna-Maria Mouza where X 43 , a
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162 Anna-Maria Mouza Thus, the tota
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164 Anna-Maria Mouza 6. Some Altern
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166 Anna-Maria Mouza increase for e
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168 Anna-Maria Mouza The solution o
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174 Fabrizio Iacone and Renzo Orsi
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202 Athanasios Athanasenas 2. The C
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204 Athanasios Athanasenas to asset
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206 Athanasios Athanasenas I end up
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208 Athanasios Athanasenas consider
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210 Athanasios Athanasenas Table 1.
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212 Athanasios Athanasenas vector:
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214 Athanasios Athanasenas in relev
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216 Athanasios Athanasenas The esti
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218 Athanasios Athanasenas and ⎡
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220 Athanasios Athanasenas run, cre
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222 Athanasios Athanasenas Lown, C
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224 Index fiscal expansions, 91, 92
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Economic Models - Convex Optimization

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