Bias and Stability of Multiplier Estimates
Bibliographic Data
| ID | 19317656 |
|---|---|
| Authors | David W Roland-Holst, David Roland‐Holst (corresponding author) |
| Year | 1989 |
| Volume | 71 |
| Issue | 4 |
| Pages | 718 |
| Publication date | 1989-11-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Review of Economics and Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0034-6535 • E-ISSN: 1530-9142 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/1928119 |
| OpenAlex | W2019794213 |
| Language | EN |
| Citations received | 2 |
A number of analytical contributions have given sufficient conditions under which Leontief multiplier estimates are biased. This paper uses empirical data and a Monte Carlo framework to evaluate the problem of bias and obtains the opposite conclusions. For practical purposes, it appears that linear multiplier estimates are unbiased. The variance properties of these estimates are also evaluated. Copyright 1989 by MIT Press
Econometrics · Economics · Keynesian economics · Multiplier (economics) · Stability (learning theory) · Statistics · Bayesian Methods and Mixture Models · Computer Science · Financial Risk and Volatility Modeling · Mathematics · Statistical Methods and Inference
| Citations per year | 0.13 |
|---|---|
| Citation span | 2010 - 2017 (8) |
| Highly cited | No |