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dc.contributor.authorLilletvedt, John Sæten
dc.date.accessioned2021-06-30T23:54:07Z
dc.date.available2021-06-30T23:54:07Z
dc.date.issued2021-06-15
dc.date.submitted2021-06-30T22:00:44Z
dc.identifier.urihttps://hdl.handle.net/11250/2762633
dc.description.abstractCalibration is a much used but problematic method for achieving quantitative predictions from modern macroeconomic models. As with other quantitative work in economics, there is reason to believe that findings on the basis of calibration can be subject to measurement error, specification error, and biases. To investigate the robustness, replicability, and credibility of findings based in calibration, I replicate and extend a model of the recent Chinese growth experience. The extensions are based on the principles of sensitivity analysis as suggested by Edward Leamer (1983) with the explicit goal of illustrating the possible uncertainty about the model results. In the case of the particular model investigated here, the results are reasonably robust to alternative calibrations as long as one excludes any alternative calibrations that violate the theoretical assumptions. There are calibrated parameters for which the model is much more sensitive to alternative specifications.
dc.language.isoeng
dc.publisherThe University of Bergen
dc.rightsCopyright the Author. All rights reserved
dc.titleSensitivity: An inquiry into the robustness of model calibration as used in modern macroeconomic research
dc.typeMaster thesis
dc.date.updated2021-06-30T22:00:44Z
dc.rights.holderCopyright the Author. All rights reserved
dc.description.degreeMasteroppgave
dc.description.localcodeECON391
dc.description.localcodeMASV-SØK
dc.description.localcodePROF-SØK
dc.subject.nus734103
fs.subjectcodeECON391
fs.unitcode15-15-0


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