IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2602.22836.html

Endogenous Poverty Traps in Continuous Time: A Signaling Approach

Author

Listed:
  • Massimo Giannini

Abstract

This paper embeds a signaling friction into the continuous-time heterogeneous agent framework. A continuum of producers operate Cobb-Douglas technologies with regime-specific productivity $A_j \in \{A_L, A_H\}$. Stochastic arrival of signaling opportunities and skill obsolescence risk generate an optimal stopping problem -- when to pay a lump-sum cost $\phi$ to upgrade productivity -- whose solution yields an endogenous Skiba threshold $k^*$. Diminishing returns create a stable interior attractor in each regime; the signaling cost separates the two basins, producing a poverty trap that is an interior optimum rather than a corner solution. The stationary distribution exhibits Twin Peaks, but its decomposition by regime reveals that agents in three distinct states -- structurally trapped, waiting to signal, and successfully upgraded -- coexist at the same wealth levels with different consumption behavior and mobility prospects. Capital alone is therefore insufficient to identify an agent's position in the polarization dynamics. We show that the joint observation of a low marginal propensity to consume out of wealth and a high average propensity to consume -- a combination invisible to standard Euler equation tests -- is the diagnostic signature of the structural trap, distinguishing it from both liquidity constraints and transitory shocks.

Suggested Citation

  • Massimo Giannini, 2026. "Endogenous Poverty Traps in Continuous Time: A Signaling Approach," Papers 2602.22836, arXiv.org.
  • Handle: RePEc:arx:papers:2602.22836
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2602.22836
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2602.22836. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.