跳到正文
← 返回论文列表与筛选
阅读说明

本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。

DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。

引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。

关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。

分类依据与纠错

AI 根据所提供的论文材料归类:摘要明确涉及实际利率动态过程、通胀及利率预测,并通过预测误差追踪结构断点,直接对应三个方向。

反馈分类问题

正在核对关联版本…

代码、数据与补充材料

正在核对对应版本的资源…

关注这篇论文的作者
Terrence Kinal
Kajal Lahiri

事前实际利率模型及其导出的通胀预测

研究问题
如何估计经济主体预期的实际利率并导出通胀预测,同时考察价格预期的作用及实际利率过程的结构变化?
方法与思路
作者在理性预期框架下建立动态模型,用季度数据和两步两阶段最小二乘估计,并通过预测区间跟踪断点和调整预测。
材料陈述的贡献
摘要称,模型识别出一九八〇和一九八三年的变化,支持随机游走及负向价格预期作用,并在所述样本中改善通胀预测。
阅读关注点
应核对理性预期限制、工具变量与区间构造、断点判定及异方差修正,以及通胀预测是否使用实时信息和公平比较。
阅读边界
仅据所给 OpenAlex 索引摘要,稿件版本未注明;无偏性和预测改进均为作者在一九五三至一九八五年样本中的陈述,不能推断政策因果效应或外样本表现。

原文摘要

A methodology for estimating expected real interest rates and making inflation forecasts, together with appropriate confidence intervals, is presented. The role of price expectations in determining real interest rates is also analyzed. Structural breaks in the process generating real interest rates are detected in 1980 and 1983 by tracking the accuracy of interest-rate forecasts. Analysis of these structural breaks reveals that the break at the beginning of 1983 returns the process to its pre-1980 formulation. During 1953-1985, price forecasts derived from the interest-rate model are found to be unbiased once the structural breaks in the real rate process are handled through heteroscedastic corrections. Invoking the rational-expectations hypothesis, we construct a general yet parsimonious dynamic model for estimating economic agents' anticipations of the real rate of interest. By using quarterly data for 1953-1985 the model is efficiently estimated by two-step two-stage least squares. Results provide support for a random-walk process and for the existence of a negative price expectations (Tobin-Mundell) effect on real interest rates. The U.S. economy was subjected to a number of shocks in the early 1980s. A new chairman took the helm of the Federal Reserve System (Fed) in 1979, and almost immediately the Fed announced that it would change its operating procedure from controlling interest rates to targeting the money supply. The Fed then returned to its pre-1979 operating procedure in October 1982. Added to these changes were the tightening of credit controls in the first half of 1980, the advent of the large fiscal deficits of the Reagan administration, and a fall in petroleum prices. To some degree, all of these shocks probably contributed to the greater volatility of the economy in the first few years of the 1980s. In fact, some researchers have recently argued that there have been shifts in the process generating real interest rates in October 1979 and 1982 coincident with the Fed's changes in operating procedure. To investigate the existence and timing of any breaks in the early 1980s we constructed exact (small-sample) confidence intervals for the interest-rate forecasts of investors and tracked them with actual interest rates. We identified a break in the first quarter of 1980 when the actual interest rate no longer fell within the confidence interval for the forecast, and another break in the first quarter of 1983. Adapting the model to account for these structural shifts, we show that, although the 1980-1982 period is significantly different from the pre-1980 period (in terms of parameter values), the post-1982 period is not significantly different from the pre-1980 period. We also construct investors' ex ante forecasts of inflation from the interest-rate model and show them to be unbiased, whereas the inflation forecasts from the Livingston survey are biased. The mean squared prediction error of inflation forecasts improves significantly when price expectations are included as a determinant of ex ante real interest rates. We also find that the forecasting performance of this model compares favorably with the inflation forecasts from the American Statistical Association/National Bureau of Economic Research Business Outlook Surveys.

笔记与分组
相关领域论文