Measuring Labor Market Transitions with Time Series of Cross Sections

David Pacini; Daniel Borowczyk-Martins

doi:10.1016/j.econlet.2024.111650

Measuring Labor Market Transitions with Time Series of Cross Sections

David Pacini
, Daniel Borowczyk-Martins

School of Economics

Research output: Contribution to journal › Article (Academic Journal) › peer-review

Abstract

We consider the problem of measuring transition probabilities when panel data is not available and retrospective data is measured with error. We establish point-identification conditions of transition probabilities and propose a method to estimate them using time series of cross sections. We illustrate the application of our results using the European Union Labor Force Survey.

Original language	English
Article number	111650
Journal	Economics Letters
Volume	237
Early online date	21 Mar 2024
DOIs	https://doi.org/10.1016/j.econlet.2024.111650
Publication status	E-pub ahead of print - 21 Mar 2024

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© 2024 The Author(s)

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title = "Measuring Labor Market Transitions with Time Series of Cross Sections",

abstract = "We consider the problem of measuring transition probabilities when panel data is not available and retrospective data is measured with error. We establish point-identification conditions of transition probabilities and propose a method to estimate them using time series of cross sections. We illustrate the application of our results using the European Union Labor Force Survey.",

author = "David Pacini and Daniel Borowczyk-Martins",

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AU - Pacini, David

AU - Borowczyk-Martins, Daniel

PY - 2024/3/21

Y1 - 2024/3/21

N2 - We consider the problem of measuring transition probabilities when panel data is not available and retrospective data is measured with error. We establish point-identification conditions of transition probabilities and propose a method to estimate them using time series of cross sections. We illustrate the application of our results using the European Union Labor Force Survey.

AB - We consider the problem of measuring transition probabilities when panel data is not available and retrospective data is measured with error. We establish point-identification conditions of transition probabilities and propose a method to estimate them using time series of cross sections. We illustrate the application of our results using the European Union Labor Force Survey.

U2 - 10.1016/j.econlet.2024.111650

DO - 10.1016/j.econlet.2024.111650

M3 - Article (Academic Journal)

SN - 0165-1765

VL - 237

JO - Economics Letters

JF - Economics Letters

M1 - 111650

ER -

Measuring Labor Market Transitions with Time Series of Cross Sections

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