000 | a | ||
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999 |
_c33986 _d33986 |
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008 | 250606b xxu||||| |||| 00| 0 eng d | ||
020 |
_a9780262123068 _c(hbk) |
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082 |
_a339.015195 _bLIM |
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100 | _aLim, Guay C. | ||
245 | _aComputational macroeconomics for the open economy | ||
260 |
_bMIT Press, _c2024 _aCambridge : |
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300 |
_axiv, 231 p. ; _bill., _c24 cm |
||
365 |
_b50.00 _c$ _d89.00 |
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504 | _aIncludes bibliographical references and index. | ||
520 | _aPolicymakers need quantitative as well as qualitative answers to pressing policy questions. Because of advances in computational methods, quantitative estimates are now derived from coherent nonlinear dynamic macroeconomic models embodying measures of risk and calibrated to capture specific characteristics of real-world situations. This text shows how such models can be made accessible and operational for confronting policy issues. The book starts with a simple setting based on market-clearing price flexibility. It gradually incorporates departures from the simple competitive framework in the form of price and wage stickiness, taxes, rigidities in investment, financial frictions, and habit persistence in consumption. Most chapters end with computational exercises; the Matlab code for the base model can be found in the appendix. As the models evolve, readers are encouraged to modify the codes from the first simple model to more complex extensions. Computational Macroeconomics for the Open Economy can be used by graduate students in economics and finance as well as policy-oriented researchers. | ||
650 | _aEconometric models | ||
650 | _aMacroeconomics | ||
650 | _aDynamic Model | ||
650 | _aCapital accumulation | ||
650 | _aConsumption tax | ||
650 | _aDecision rules; | ||
650 | _aEuler equation errors | ||
650 | _a Monetary policy | ||
650 | _aProductivity shock | ||
650 | _aTaylor rule | ||
700 | _aMcNelis, Paul D. | ||
942 |
_2ddc _cBK |