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Distribution Regression in Duration Analysis: an Application to Unemployment Spells

Miguel A. Delgado, Andrés García-Suaza, Pedro H. C. Sant'Anna

arXiv 12 Apr 2019 · Econometrics · publishedEconometrics Journal (2022) · 1 citations (OpenAlex)

arXiv:1904.06185 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This article proposes inference procedures for distribution regression models in duration analysis using randomly right-censored data. This generalizes classical duration models by allowing situations where explanatory variables' marginal effects freely vary with duration time. The article discusses applications to testing uniform restrictions on the varying coefficients, inferences on average marginal effects, and others involving conditional distribution estimates. Finite sample properties of the proposed method are studied by means of Monte Carlo experiments. Finally, we apply our proposal to study the effects of unemployment benefits on unemployment duration.

Citation extraction

48
references
91
in-text mentions
48
distinct cited
1
self-citations
12,193
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Chernozhukov, V., I. Fernández-Val, and B. Melly (2013) Inference on counterfactual distributions1.00064100%
2Stute, W (1996) Distributional convergence under random censorship when covariables are present1.00053100%
3Chetty, R (2008) Moral Hazard versus Liquidity and Optimal Unemployment Insurance0.874122100%
4Stute, W (1993) Consistent estimation under random censorship when covariables are present0.87462100%
5Cox, D. R (1972) Regression models and life-tables (with discussion)0.81142100%
6van der Vaart, A. W (1998) Asymptotic Statistics0.73732100%
7Aalen, O. O (1980) Lecture Notes in Statistics – Proceedings0.64422100%
8Amemiya, T (1985) Advanced Econometrics0.64422100%
9Clayton, A. D. G (1976) An Odds Ratio Comparison for Ordered Categorical Data with Censored Observations0.64422100%
10Foresi, S. and F. Peracchi (1995) The conditional Distribution of Excess Returns : The Conditional Distribution An Empirical Analysis0.64422100%

Showing the top 10 of 48 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Was Javert right to be suspicious? Marginal Treatment Effects with Duration Outcomes0.92854
2Practically significant differences between conditional distribution functions0.40511