Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 438

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Income variance dynamics and heterogenity

Pistaferri, Luigi, Meghir, Costas·2001·Working Paper Series
DOI 10.1920/wp.ifs.2001.0107
Open this paper in CoChat — free account

Abstract

Recent theoretical work has shown the importance of measuring microeconomic uncertainty for models of both general and partial equilibrium under imperfect insurance. In this paper the assumption of i.i.d. income innovations used in previous empirical studies is removed and the focus of the analysis placed on models for the conditional variance of income shocks, that is related to the approporiate measure of risk emphasized by the theory. We first discriminate amongst various models of earnings determination that separate income shocks into idiosyncratic transitory and permanent components. We allow for education-specific differences in the stochastic process for earnings and for measurement error. The conditional variance of the income shocks is then modelled as a parsimonious autoregressive process with both observable and unobserved heterogeneity. The empirical analysis is conducted on data drawn from the 1967-1991 Panel Study of Income Dynamics.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1920/wp.ifs.2001.0107

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 438

Metadata

Authors
Pistaferri, L., & Meghir, C.
Venue
Working Paper Series
Publisher
Institute for Fiscal Studies
Published
2001-04-04
ISSN
  • 1369-4685 (ISSN-L)
  • 1742-0415
DOI
10.1920/wp.ifs.2001.0107
OpenAlex
W3121391630
Cited by
438
References
37
Type
paratext
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.