INTRODUCTION TO "SPECIAL ISSUE ON THE EMPIRICAL ANALYSIS OF BUSINESS CYCLES, FINANCIAL MARKETS, AND INFLATION

ESSAYS IN HONOR OF CHARLES NELSON"

Chang-Jin Kim, James Morley, Jeremy Piger

Research output: Contribution to journalArticle

Abstract

Time series analysis of macroeconomic and financial variables requires a deep understanding of many econometric pitfalls if an empirical researcher hopes to avoid making spurious inferences. This understanding is the hallmark of Charles Nelson's research over four decades and it develops out of a healthy skepticism about "conventional wisdom," yet a pragmatic belief that, despite the econometric hurdles, it is possible to learn from data. The papers in this special issue build on Charles Nelson's research legacy to address many important empirical questions related to business cycles, financial markets, and inflation, always with respect for the data, but wary of spurious inferences.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalMacroeconomic Dynamics
DOIs
Publication statusAccepted/In press - 2013 Dec 16

Fingerprint

Empirical analysis
Econometrics
Business cycles
Inference
Inflation
Financial markets
Time series analysis
Skepticism
Financial variables
Wisdom
Macroeconomic variables

Keywords

  • Applied Time Series Analysis
  • Business Cycles
  • Financial Markets
  • Inflation

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

@article{83cceff38d9c4f04b697ed23a6a8e178,
title = "INTRODUCTION TO {"}SPECIAL ISSUE ON THE EMPIRICAL ANALYSIS OF BUSINESS CYCLES, FINANCIAL MARKETS, AND INFLATION: ESSAYS IN HONOR OF CHARLES NELSON{"}",
abstract = "Time series analysis of macroeconomic and financial variables requires a deep understanding of many econometric pitfalls if an empirical researcher hopes to avoid making spurious inferences. This understanding is the hallmark of Charles Nelson's research over four decades and it develops out of a healthy skepticism about {"}conventional wisdom,{"} yet a pragmatic belief that, despite the econometric hurdles, it is possible to learn from data. The papers in this special issue build on Charles Nelson's research legacy to address many important empirical questions related to business cycles, financial markets, and inflation, always with respect for the data, but wary of spurious inferences.",
keywords = "Applied Time Series Analysis, Business Cycles, Financial Markets, Inflation",
author = "Chang-Jin Kim and James Morley and Jeremy Piger",
year = "2013",
month = "12",
day = "16",
doi = "10.1017/S1365100513000643",
language = "English",
pages = "1--5",
journal = "Macroeconomic Dynamics",
issn = "1365-1005",
publisher = "Cambridge University Press",

}

TY - JOUR

T1 - INTRODUCTION TO "SPECIAL ISSUE ON THE EMPIRICAL ANALYSIS OF BUSINESS CYCLES, FINANCIAL MARKETS, AND INFLATION

T2 - ESSAYS IN HONOR OF CHARLES NELSON"

AU - Kim, Chang-Jin

AU - Morley, James

AU - Piger, Jeremy

PY - 2013/12/16

Y1 - 2013/12/16

N2 - Time series analysis of macroeconomic and financial variables requires a deep understanding of many econometric pitfalls if an empirical researcher hopes to avoid making spurious inferences. This understanding is the hallmark of Charles Nelson's research over four decades and it develops out of a healthy skepticism about "conventional wisdom," yet a pragmatic belief that, despite the econometric hurdles, it is possible to learn from data. The papers in this special issue build on Charles Nelson's research legacy to address many important empirical questions related to business cycles, financial markets, and inflation, always with respect for the data, but wary of spurious inferences.

AB - Time series analysis of macroeconomic and financial variables requires a deep understanding of many econometric pitfalls if an empirical researcher hopes to avoid making spurious inferences. This understanding is the hallmark of Charles Nelson's research over four decades and it develops out of a healthy skepticism about "conventional wisdom," yet a pragmatic belief that, despite the econometric hurdles, it is possible to learn from data. The papers in this special issue build on Charles Nelson's research legacy to address many important empirical questions related to business cycles, financial markets, and inflation, always with respect for the data, but wary of spurious inferences.

KW - Applied Time Series Analysis

KW - Business Cycles

KW - Financial Markets

KW - Inflation

UR - http://www.scopus.com/inward/record.url?scp=84890260586&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84890260586&partnerID=8YFLogxK

U2 - 10.1017/S1365100513000643

DO - 10.1017/S1365100513000643

M3 - Article

SP - 1

EP - 5

JO - Macroeconomic Dynamics

JF - Macroeconomic Dynamics

SN - 1365-1005

ER -