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Fang Yao

Fang Yao

Institute for Economic Theory II
School of Business and Economics
Humboldt University of Berlin 
Spandauerstraße 1 
D-10099 Berlin 
Germany

E-mail: yaofang@rz.hu-berlin.de
Tel.:  +49-30-2093-5667
Fax.:  +49-30-2093-5696
Resume: PDF version of CV

 

Teaching

WS 2009/10

Computional tutorial for Advanced Macroeconomic Analysis

WS 2008/09

Introduction to Advanced Macroeconomic Analysis

WS 2007/08

Introduction to Advanced Macroeconomic Analysis

 

Research Interests

Macroeconomics, Monetary economics, Bayesian econometrics.

 

Publications and Working Papers

Research Page in RePEc

Job Market Papers:

1). "Time-dependent Pricing und New Keynesian Phillips Curve", Deutsche Bundesbank Discussion Paper Series, Mar 2009.

Latest Revision: Feb 2010 PDF

This paper demonstrates that tractability gained from the Calvo pricing assumption is costly in terms of aggregate dynamics. I derive a generalized New Keynesian Phillips curve featuring a generalized hazard function, non-zero steady state inflation and real rigidity. I find that the richer dynamic structure introduced by the non-constant hazards is also quantitatively important for inflation dynamics and monetary policy.

2). " Estimating the Hazard Function in Price-Setting: A Bayesian Analysis Using Aggregate Data",
SFB 649 Discussion Paper Series, Okt 2009.

Latest Revision: Jan 2010 PDF

This paper applies the Bayesian approach to solve and estimate a New Keynesian DSGE model augmented by a generalized Phillips curve, with which the shape of the hazard function can be identified using aggregate data. I find that the price decisions are characterized by both time- and state-dependent mechanisms.

 

Other Working Papers:

"When does Lumpy Factor Adjustment matter for Aggregate Dynamics?", European Central Bank, Working Paper Series, Mar 2009.

"Lumpy Labor Adjustment as a Propagation Mechanism of Business Cycles", Collaborative Research Centre '649' Discussion Paper, Feb 2008.

 

Work in Progress

"Estimating Real and Nominal Rigidities: A Bayesian Analysis Using Sectoral Data" (joint with Michael C. Burda)

 

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last modified 10-02-06 seeleste
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