主办单位

中国人民大学应用经济学院

主讲嘉宾

Carola Binder

哈弗福德学院（HaverfordCollege） 经济学副教授

参编期刊

Review of Economics and Statistics 副主编

Journal of Money, Credit, and Banking 副主编

会议信息

时间

2022年9月27日（周二）

北京时间9:00-10:30

主持人

应用经济学院 安子栋

线上地点

ZOOM会议号：3550820888

密码：0927

会议链接：

https://us06web.zoom.us/j/3550820888?pwd=aHNHRzFXSVhoRjU2YjVLa0gwRjRPdz09

主讲人简介

Carola Binder，2015年在加州大学伯克利分校获得经济学博士学位。主要研究领域为预期、通货膨胀、货币政策和中央银行沟通。担任Review of Economics and Statistics和Journal of Money, Credit, and Banking副主编，天主教研究经济学家讨论组织(CREDO)顾问小组成员，中央银行沟通CEPR研究和政策网络成员。

讲座题目

Inflation Expectations: Daily Dynamics

讲座摘要

We use high frequency identification methods to study the response of consumer inflation expectations to many different types of events. We use data from the Federal Reserve Bank of New York's Survey of Consumer Expectations. Though the survey is monthly, the exact date of each response is recorded. We show that respondents have similar observable characteristics across days of the week and days of the month, so the data can be treated as a daily survey. We document time series properties of the data at daily frequency, but mostly rely on the underlying microdata in our analysis of the drivers of inflation expectations. We identify the response of expectations to a large set of shocks, including FOMC announcements, macroeconomic data releases, and news related to politics and the Covid-19 pandemic. The majority of FOMC meetings have no detectable effects on consumer inflation expectations, though certain especially salient announcements have short-lived effects. Good news about the pandemic tends to reduce inflation expectations.