دانلود رایگان مقاله اثر مدلسازی تغییر سازمان مبتنی بر پیش بینی در تورم ایالات متحده

عنوان فارسی
مدلسازی تاثیر تغییر سازمان مبتنی بر پیش بینی در تورم ایالات متحده
عنوان انگلیسی
Modeling the impact of forecast-based regime switches on US inflation
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
11
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4015
رشته های مرتبط با این مقاله
اقتصاد
گرایش های مرتبط با این مقاله
اقتصاد مالی
مجله
مجله بین المللی پیش بینی - International Journal of Forecasting
دانشگاه
دانشکده اقتصاد اراسموس، دانشگاه اراسموس روتردام، هلند
کلمات کلیدی
سری های زمانی غیر خطی، پیش بینی،سوئیچینگ سازمان، تورم
چکیده

abstract


Forecasts of key macroeconomic variables may lead to policy changes by governments, central banks and other economic agents. Such policy changes in turn lead to structural changes in macroeconomic time series. We describe this phenomenon in US inflation by introducing a logistic smooth transition autoregressive model where the regime switches depend on the Michigan Inflation Expectation Series. Our results show that (i) forecasts lead to regime changes and have an impact on the level of inflation; (ii) the absorption time of shocks in the forecast of inflation is about four quarters; and (iii) a positive (negative) shock in the forecast results in actions which increase (decrease) the inflation rate. © 2016 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.

نتیجه گیری

5. Concluding


remarks In this paper we have introduced a STAR-type time series model for inflation, where regime switches are based on the relative size of the forecast of the underlying series. The specification allows low and high inflation forecasts to have different impacts on future values of inflation. The model is applied to GDP deflator-based US inflation rate, where we use the Michigan Inflation Expectationeries as inflation forecasts. Since the level of inflation changes over time, we include a time-varying threshold parameter in the L-STAR specification, such that the relative size of the forecast determines regime changes. Our empirical results show that (i) forecasts lead to regime changes, and have an impact on the level of inflation; (ii) forecasts seem to signal regime switches better than lagged inflation in economically stable periods, and similarly well in other periods; (iii) a positive (negative) shock to the inflation forecast results in actions that increase (decrease) the inflation rate, which is in line with the expectations trap literature; (iv) the absorption time of shocks in the forecast of inflation is about four quarters; and (v) a counterfactual scenario where forecasts during the financial crisis in 2009 were assumed to be correct would have resulted in a lower level of inflation in the subsequent quarters.


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