S9 Ep47: The Next Generation: PSE 2026

Episode Summary

Executive Summary: The episode spotlights three early-career economics papers that challenge standard policy assumptions. Guido Lamamora argues that low farm productivity in poor countries is often a land-worker ratio issue, not bad farming, and that trade or productivity gains can deepen agricultural specialization. Costanza Tomaselli shows energy shocks can raise employment through firm reallocation and labor-intensive adjustment, with credit access muting effects. Musheg Povnasyan finds Armenia’s post-sanctions trade boom was driven by incumbent firms, new sourcing routes, and extensive-margin entry rather than broad structural transformation.

Main Topics: Rethinking the ‘food problem’ in open economies: Guido argues that low agricultural labor productivity in poor countries is misread when land and trade are ignored; once included, measured low productivity can reflect many workers on limited land rather than poor technology. Policy implications for agricultural development: Standard advice to raise farm productivity or liberalize trade may not reduce farm employment; instead, industrial productivity and cheaper industrial imports generate larger economy-wide gains through input-output linkages. Energy shocks, employment, and credit frictions: Costanza studies an exogenous electricity price shock in Mexico and shows firms adjust by reallocating labor, shifting production timing, and changing capital intensity; access to credit cushions these responses. Trade rerouting after geopolitical shocks: Musheg examines Armenia after Russia sanctions and finds a surge in trade volumes, new partners, and new goods, with incumbent firms leading adjustment and some new importing firms entering. Role of detailed administrative microdata: All three papers rely on unusually rich firm, worker, customs, and electricity datasets that allow causal identification and mechanisms to be tested at high resolution. AI in economics training and research: The speakers agree AI is useful as a thinking aid, coding assistant, and explainer, but dangerous when used to replace analysis, creativity, or understanding.

Key Arguments: Low agricultural employment in poor countries is not necessarily evidence of low farm technology; once land constraints are modeled, labor productivity can look low mechanically because too many workers share too little land. Open-economy trade can reinforce rather than reduce agricultural specialization because export demand may outweigh cheaper-import effects. Raising industrial productivity can generate larger welfare gains than raising agricultural productivity because industry transmits cost reductions across the economy via supply chains. Energy price shocks can increase employment through labor reallocation, firm exit among smaller informal firms, and a shift toward more labor-intensive production schedules. Credit access can neutralize firms’ need to alter employment and production after an energy shock, suggesting financial frictions shape real outcomes. In Armenia, sanctions on Russia created a trade boom that was not just rerouting; incumbents expanded trade intensity, found new suppliers, and introduced new products and destinations. The trade shock in Armenia did not mainly produce broad worker reallocation across sectors; rather, adjustment occurred within firms, plus entry of new importers. AI is best used as a discussion partner, coding helper, and explainer, not as a substitute for reasoning or creativity.

Data Points: Conference setting: 3 papers - Three early-career researchers presented new work at the CEPR Paris School of Economics Policy Forum 2026. Armenia pre-2022 trade with Russia: ~30% of exports and imports - Musheg described Armenia’s dependence on Russia before sanctions in 2021. Armenia pre-2022 trade with the EU: ~15–20% - Share of Armenian trade with the European Union before the shock. Armenian labor informality: ~50% of the labor force - Musheg noted widespread informality in Armenia. Armenian public-sector employment: ~20% - Share of employment in the public sector in Armenia. Trade boom magnitude in Armenia: 2–3x growth - Musheg said exports and imports rose by roughly two to three times after sanctions. Electricity shock data collection period: 2 years - Costanza said the Mexican credit registry and linked administrative data took two years to collect. Energy shock geography: Mexico via Texas pipeline damage - A climate shock in Texas damaged the gas pipeline supplying Mexico, raising electricity prices exogenously. Policy gain estimate: ~2x larger - Guido estimated industrial productivity gains are roughly twice as large as agricultural productivity gains.

Pivotal Quotes: "once you account for land, these low-income countries actually turn out to have a relatively high agricultural productivity, not low" — Guido Lamamora: Core finding that reverses the standard diagnosis of agricultural underperformance in poor countries. "the export channel dominates" — Guido Lamamora: Explaining why trade openness can deepen agricultural specialization rather than shrink it. "government support is not the only answer" — Costanza Tomaselli: Policy takeaway from the Mexico energy-shock study, emphasizing credit-market frictions and non-fiscal responses.

Implications: The episode suggests common development advice needs revision: land and trade can make farm productivity look artificially low, energy shocks can reshape labor demand through finance, and sanctions can rewire trade through incumbents and entrants. For policymakers, industrial capacity, credit access, and granular data matter more than blanket sectoral fixes.