Economics Literature Review Topics

Inflation flare-ups, AI adoption inside firms, and climate shocks are reshaping core economic debates faster than syllabi can keep up, and the reading pile is growing by the hour. We at TopicSuggestions write from the trenches of academic work, and we know a solid literature review shows what the field already knows, where methods clash, and where fresh contributions can land. Today we’ll share focused, researchable economics literature review topics that match current conversations and student timelines.

Good Literature Review Topic Ideas on Economics

Our list will be grouped by theme—macro and monetary, micro and industrial organization, development and inequality, finance, behavioral and experimental, environmental and energy, and policy methods—with each topic framed to signal a clear angle and suggested scope so you can pick, plan, and write with confidence.

1. We engineer quantum-resilient audit evidence for blockchain-native accounting in multinational consolidations

Research questions:
– We ask how we can design post-quantum cryptographic controls that preserve auditability of permissioned blockchain ledgers across jurisdictions.
– We test whether we can quantify incremental audit risk from hypothetical quantum adversaries on sampled on-chain evidence.
– We examine how we should map quantum-safe proofs into ISA/ PCAOB evidence sufficiency frameworks without inflating audit effort.

2. We link CFO circadian misalignment to accrual quality using daylight-saving shocks across globally distributed reporting teams

Research questions:
– We measure whether we see systematic shifts in accruals, classification choices, and narrative tone when we are biologically out of sync with headquarters hours.
– We test if we can exploit staggered DST changes to identify causal effects on restatement risk and audit adjustments.
– We evaluate whether we should redesign close calendars to mitigate misalignment-induced misstatements.

3. We blueprint double-entry for tokenized carbon claims to eliminate Scope 3 double counting in financial statements

Research questions:
– We ask how we can structure debits/credits for creation, transfer, retirement, and reversal of tokenized emissions attributes across tiers.
– We examine whether we can value these instruments under IFRS/ASC fair value hierarchies when MRV feeds are probabilistic.
– We test if we should require contra-accounts to track provenance and prevent duplicate recognition in consolidated groups.

4. We design governance-attack-adjusted accounting for DAO treasuries and vote markets

Research questions:
– We assess whether we can recognize and measure liabilities from bribery/vote-escrow arrangements embedded in treasury strategies.
– We test how we should classify and impair governance tokens when control rights are endogenously stochastic due to attack surfaces.
– We examine whether we can build audit procedures that detect coordinated governance manipulation affecting valuation.

5. We quantify error cascades from LLM accounting copilots into ICFR and audit pricing

Research questions:
– We measure how we can trace a single AI-suggested journal entry through downstream reconciliations to estimate misstatement propagation.
– We test whether we should modify key control design to separate human review from AI assistance without degrading close speed.
– We evaluate if we can identify thresholds where AI usage increases audit hours and fees versus improves detection.

6. We estimate instant payment rail spillovers to working capital, earnings management, and liquidity hoarding

Research questions:
– We test whether we can observe reductions in cash buffers and changes in zero-balance account architectures after FedNow/SEPA Instant adoption.
– We examine if we should expect timing-based earnings management to shift from receivables to discretionary expenses with 24/7 settlement.
– We measure whether we can link real-time settlement to changes in dividend smoothing and buyback timing.

7. We integrate satellite-derived biodiversity loss signals into contingent liability recognition and project finance pricing

Research questions:
– We ask how we can map geospatial habitat risk to probability-weighted environmental liabilities under IAS 37/ASC 450.
– We test whether we can price biodiversity covenants in loan spreads using remote-sensing triggers and insurer exclusions.
– We evaluate if we should impair assets when exogenous biodiversity policy shocks change restoration cost curves.

8. We structure IoT-triggered sustainability-linked debt as embedded derivatives and study reporting impacts

Research questions:
– We determine whether we can model sensor-verified KPI step-ups as bifurcated derivatives under IFRS 9/ASC 815.
– We test how we should audit oracle integrity when coupon outcomes depend on third-party telemetry streams.
– We examine if we can detect market pricing of oracle manipulation risk in primary and secondary spreads.

9. We detect deepfake-induced information risk in earnings calls and auditor communications

Research questions:
– We test whether we can identify acoustic and linguistic markers of synthetic CEO/CFO speech that move prices and volatility.
– We assess how we should adapt CAM/KAM disclosures when management voice authenticity is uncertain.
– We measure whether we can link anti-deepfake controls to lower cost of capital and fewer short-term dislocations.

10. We harden ESG reporting pipelines against adversarial data poisoning and quantify capital market effects

Research questions:
– We ask how we can design robust aggregation and assurance protocols when suppliers strategically perturb KPI submissions.
– We test whether we can detect poisoning via cross-source consistency checks without prohibitive assurance costs.
– We evaluate if we should expect differential pricing of firms that disclose anti-poisoning controls in sustainability reports.

11. We propose “Algorithmic Scheduling and the Informal Gig Economy”:

Research questions: (1) How do platform scheduling algorithms affect earnings volatility, working hours predictability, and health outcomes among informal urban gig workers? (2) Does the interaction between algorithmic incentives and local public-transit quality amplify spatial inequality in labor supply? (3) Can transparency interventions reduce adverse distributional effects? Overview: We will collect platform API logs, conduct cohort surveys and wearable-based sleep/health monitoring, and exploit staggered platform algorithm updates as natural experiments using difference-in-differences and event-study designs.

12. We propose “Fiscal Multipliers of Universal Basic Services in Middle-Income Countries”:

Research questions: (1) What are the short- and medium-run fiscal multipliers of publicly provided childcare, commuter transit, and outpatient primary care compared with equivalent cash transfers? (2) How do these services affect female labor-force participation and long-term human capital accumulation? (3) What financing mixes (debt, progressive taxation, reallocation) maximize welfare under political-economy constraints? Overview: We will design regional pilot implementations combined with a spatial CGE model and use synthetic control plus cost-benefit analysis to estimate multipliers and distributional outcomes.

13. We propose “Vertical Integration of Renewable Asset Owners and Electricity Market Dynamics”:

Research questions: (1) How does ownership of generation, storage, and retail by the same firm affect spot-price volatility and peak-period markups? (2) Does vertical integration accelerate or retard investment in grid-enhancing innovation? (3) What regulatory safeguards can preserve competition while enabling investment? Overview: We will compile plant-level ownership data, patent and CAPEX series, and analyze merger events with event-study methods and structural supply-function estimation to infer market power and innovation effects.

14. We propose “Shadow Banking and Climate-Transition Asset Repricing”:

Research questions: (1) How do non-bank credit intermediaries transmit abrupt climate-policy shocks into corporate bond and loan markets? (2) Do shadow lenders amplify fire-sale dynamics in carbon-intensive sectors via margining and rehypothecation channels? (3) What macroprudential tools can mitigate systemic climate repricing risk? Overview: We will build exposure networks using loan-level and repo data, run stress-test scenarios of policy shocks, and estimate amplification coefficients with network contagion models.

15. We propose “Behavioral Responses to Inflation Among Cash-Dependent Households Using Smart-Cash Feedback”:

Research questions: (1) Does real-time feedback on cash expenditures change inflation expectations and short-run consumption for unbanked households? (2) How persistent are behavioral changes after feedback removal? (3) Which messaging framings (nominal vs. real terms) best correct misperceptions? Overview: We will deploy a field RCT distributing low-cost smart cash-tracking devices plus surveys, and estimate intention-to-treat and structural consumption responses controlling for liquidity cycles.

16. We propose “Municipal Land-Value Taxation, Urban Form, and Firm Entry”:

Research questions: (1) How does implementing land-value taxation at the municipal level alter rent gradients and informal housing prevalence? (2) Does a shift to LVT spur SME formation in central locations by lowering building tax distortions? (3) What spillovers occur across adjacent municipalities with different tax regimes? Overview: We will exploit staggered LVT adoptions, link cadastral and business-registry microdata, and apply spatial difference-in-differences with synthetic controls to measure equilibrium adjustments.

17. We propose “Data Poverty and Microenterprise Productivity”:

Research questions: (1) How does constrained mobile-data access affect pricing strategies, market search, and adoption of digital marketplaces by microenterprises? (2) Are productivity gains from improved connectivity heterogeneous by sector and gender? (3) What subsidy designs maximize welfare per fiscal dollar? Overview: We will combine passive mobile-network metrics, randomized data-voucher interventions, and high-frequency sales panels to estimate causal effects and compute benefit-cost ratios for connectivity policies.

18. We propose “International Student Flows, Retention Policies, and Regional Innovation Spillovers”:

Research questions: (1) Do changes in post-study work visa rules lead to measurable increases in patenting and startup formation in host regions? (2) How do return migration and alumni networks feed back into source-country innovation? (3) Which fields of study generate the strongest local spillovers? Overview: We will exploit visa-policy shocks as quasi-experiments, link university enrollment records to patent and firm-formation registries, and implement difference-in-differences and gravity-style models to trace spillovers.

19. We propose “Tokenized Equity, Corporate Governance, and Long-Term Investment”:

Research questions: (1) Does tokenization of equity and automated on-chain voting change shareholder participation and short-term trading incentives? (2) How does liquid governance affect managerial horizons and R&D investment? (3) Are regulatory disclosures around tokenized governance sufficient to prevent opportunistic behavior? Overview: We will conduct case studies of tokenized firms, analyze trading and voting logs on-chain, and estimate performance impacts using panel regressions with matched controls.

20. We propose “AI-Assisted Tax Compliance Tools and Small-Business Reporting”:

Research questions: (1) Do AI-driven bookkeeping and tax-assistance tools increase voluntary tax compliance and change reported profit margins for micro and small enterprises? (2) How do small firms respond differently by sector and informality status? (3) What privacy and distributional concerns arise from automated compliance? Overview: We will partner with tax authorities running phased AI-tool rollouts, implement randomized encouragement and regression-discontinuity designs, and combine administrative tax data with surveys to estimate behavioral and revenue effects.

21. Algorithmic Pricing Spillovers in Informal Credit Markets

We ask: how do algorithmic interest-rate algorithms used by mobile lenders propagate through social networks and change equilibrium borrowing costs for informal borrowers? We ask: do algorithmic offer discrimination create local credit cycles and contagion of defaults? We ask: how do firms and borrowers adapt contract terms when algorithmic scores leak via peer networks? We outline how to work on this: we will combine anonymized mobile-lending platform logs, social-network surveys in target towns, and a randomized disclosure experiment about “peer offers”; we will estimate spillover elasticities with network-diffusion models and identify causal effects via staggered rollout or instrumental variation in algorithm updates.

22. CBDC-Induced Liquidity Reallocation and Shadow Banking in Emerging Economies

We ask: how does pilot introduction of a retail central bank digital currency (CBDC) reallocate retail deposits and short-term funding away from nonbank intermediaries? We ask: what are the implications for small-business credit access and overnight liquidity creation? We outline how to work on this: we will exploit CBDC pilot rollouts as quasi-experiments, merge central bank balance-sheet and payment-flow data with bank and nonbank credit registers, and apply synthetic-control and difference-in-differences techniques plus a simple banking-friction equilibrium model to quantify reallocation and welfare.

23. Micro-Biodiversity Credits and Smallholder Farmer Adoption

We ask: which contract structures (group vs individual, output-contingent vs payment-for-presence) maximize smallholder uptake of on-farm biodiversity practices? We ask: how do biodiversity-credit schemes affect farmer incomes and local ecosystem services beyond carbon? We outline how to work on this: we will design randomized controlled trials offering alternative credit contracts, measure biodiversity outcomes with high-resolution remote sensing and field sampling, and estimate additionality and distributional impacts with cost-effectiveness and general equilibrium exposure analyses.

24. Platform-Mediated Carbon Offsets for Urban Microenterprises

We ask: can digital platforms aggregate micro-offsets from thousands of urban microenterprises cheaply and create credible local emission reductions? We ask: what are the productivity and adoption effects when microenterprises receive verified payments for low-cost mitigation activities? We outline how to work on this: we will prototype a marketplace with a city-level pilot, instrument IoT sensors or lightweight verification protocols, run randomized price and bundling treatments, and evaluate emission accounting, firm profits, and participation dynamics.

25. AI Detection of Trade Misinvoicing and Effects on Capital Flight

We ask: can machine-learning models that combine invoice text, shipping manifests, and satellite port-activity data improve detection of trade misinvoicing? We ask: what macro and micro responses follow when enforcement capability improves (e.g., changes in onshore investment, tax revenue, and exporter behavior)? We outline how to work on this: we will build NLP and anomaly-detection models on customs and L/C datasets, validate against known cases, and analyze enforcement shocks using event-study methods and macro decomposition to quantify capital flight attenuation.

26. Climate Migration Remittances and Local Housing Markets

We ask: do remittances from climate migrants systematically inflate housing prices and rents in receiving regions, and how unequal are those effects across neighborhoods? We ask: how do remittance-driven demand shocks interact with local land-use regulations to shape spatial inequality? We outline how to work on this: we will link remittance flows (bank and mobile-money data) to high-frequency rental listings and satellite-derived housing-supply proxies, use climate-shock timing as an instrument for migration-driven remittance shocks, and estimate heterogeneous effects with spatial econometrics.

27. Collective Pension Risk Pools for Gig Workers: Design and Welfare

We ask: what pooling rules (contribution smoothing, dynamic rebalancing, temporary subsidies) best manage idiosyncratic income volatility in gig-work careers while preserving incentives? We ask: what behavioral frictions limit take-up and how can default options be optimized? We outline how to work on this: we will run lab-in-the-field experiments with platform workers to test pooling designs, estimate lifecycle models of consumption and labor supply under different pension rules, and simulate welfare and fiscal implications under realistic policy constraints.

28. Attention Costs, Search Frictions, and Green Product Adoption in E-commerce

We ask: how large are the attention-cost barriers to purchasing green-labeled goods on platforms, and which UI nudges most effectively reallocate attention toward eco-friendly options? We ask: how do heterogeneous search costs across income and education groups mediate policy or platform interventions? We outline how to work on this: we will partner with e-commerce platforms to run large-scale A/B tests (filter prominence, default sorting, salient carbon labels), analyze clickstream and purchase funnels, and estimate a structural search-and-choice model to predict long-run adoption and welfare.

29. Sovereign Debt Contracts with Pandemic-Contingent Clauses: Valuation and Incentives

We ask: how should sovereigns optimally price and design pandemic-contingent debt clauses (GDP or mortality triggers) to balance rollover risk, insurance benefits, and moral hazard? We ask: what are investor demand curves for such clauses under different transparency regimes? We outline how to work on this: we will build a theoretical sovereign-default model extended for pandemic shocks, calibrate it with COVID-era macro and epidemiological data, simulate market pricing under heterogeneous investor risk aversion, and test robustness with historical precedent and investor-survey experiments.

30. Digital Barter Networks in Hyperinflation: Pricing, Trust, and Informal Exchange Dynamics

We ask: how do digital barter or credit networks emerge and set exchange rates in communities experiencing hyperinflation, and what are the welfare implications relative to cash substitution or dollarization? We ask: how does trust formation across network ties influence liquidity and the velocity of barter credits? We outline how to work on this: we will collect transaction-level data from barter apps and local platforms in hyperinflation episodes, run network-formation and agent-based simulations calibrated to observed behavior, and conduct field experiments that vary reputation signals and settlement guarantees to measure effects on welfare and price stability.

31. Algorithmic Central Bank Communication: Do automated summary tools and AI-generated minutes change private-sector inflation expectations?

We ask: How do AI-generated summaries of central bank statements alter the formation and dispersion of inflation expectations among retail and professional forecasters? We ask: Do automated translations and tone adjustments by third-party apps amplify or dampen market reactions across languages? We outline how to work on this topic: We assemble time-stamped central bank releases, collect versions produced by popular summarization/translation tools, and merge with high-frequency survey and market-implied expectation data; we apply difference-in-differences around tool adoption events and use natural language processing (sentiment/tone) to instrument communication changes.

32. Shadow Financialization of Gig Platforms: How do platform-issued short-term credits reshape local credit markets?

We ask: Does the introduction of platform-affiliated cash advances and merchant loans crowd out traditional microcredit and informal lending in regional economies? We ask: What are the distributional effects on platform workers’ long-term financial health? We outline how to work on this topic: We compile platform rollout data across cities, link to local banking branch activity and payday-loan volumes, and use matched worker-level panel data where available; we estimate causal effects via event-study designs and exploit variation in regulatory responses across jurisdictions.

33. Remittance–Climate Feedback Loops: Do climate shocks that shift remittance flows induce maladaptive local investments?

We ask: When climate damage in origin or destination regions alters remittance patterns, do recipients invest in resilience or in short-term consumption that increases future vulnerability? We ask: How do channel (formal vs informal) and conditionality of transfers affect adaptive outcomes? We outline how to work on this topic: We merge granular climate shock indicators, remittance transaction records, and household surveys on asset allocation; we use instrumental variables from seasonal migration costs and quasi-experimental climate events to identify causal pathways.

34. Decentralized Finance (DeFi) Spillovers to SME Capital Allocation in Emerging Markets

We ask: Do novel DeFi lending markets reallocate capital away from traditional SME credit channels and alter firm investment efficiency? We ask: Which firm types gain or lose access, and how does cross-border crypto volatility translate into real investment cycles? We outline how to work on this topic: We collect data from DeFi protocols, on-chain flows, and local credit bureau records; we exploit differences in internet penetration and regulatory openness as instruments and combine event studies around major crypto shocks with firm-level panel regressions.

35. Microplastic Externalities and Trade Policy: Can trade agreements internalize pollution externalities through tariff design?

We ask: Would conditioning trade preferences on measurable single-use plastic footprints alter comparative advantage and supply-chain relocation? We ask: How do firms respond in product design and sourcing when tariffs incorporate estimated microplastic externality weights? We outline how to work on this topic: We estimate product-level plastic-footprint elasticities using customs and life-cycle-assessment databases, simulate tariff schedules that internalize externalities, and run general-equilibrium and firm-level counterfactuals to predict trade pattern and welfare impacts.

36. Digital Defaulting in Pension Systems: How do app-based nudges and biometric enrollment change long-run contribution behavior?

We ask: Do digitally delivered defaults (pre-checked options, biometric auto-enroll) change inertia and eventual retirement adequacy differently from paper-based defaults? We ask: What are heterogeneous effects across literacy and digital-access strata? We outline how to work on this topic: We partner with pension administrators to randomize digital vs paper enrollment interfaces, collect longitudinal contribution records, and estimate intent-to-treat and complier-average effects with subgroup analysis.

37. Social-Media Transmission of Inflation Expectations Among Informal Workers

We ask: How do localized social-media rumor cascades about price changes influence expectations and bargaining behavior in informal labor markets? We ask: Can misinformation produce self-fulfilling wage-price spirals in micro-traded goods? We outline how to work on this topic: We scrape geolocated social-platform posts, combine with scanner price data and market-wage negotiations captured via field surveys, and use network-diffusion models plus instrumental shifts in platform access (e.g., outages) to identify causal influence.

38. Algorithmic Hiring and Local Skill-Biased Productivity: Do firm-level hiring algorithms reshape regional wage–skill equilibria?

We ask: When firms adopt algorithmic screening that favors particular skill proxies, does regional human-capital investment reorient towards algorithm-privileged skill bundles? We ask: What are the equilibrium effects on wage dispersion and occupational mobility? We outline how to work on this topic: We obtain firm adoption timelines for hiring tools, link to local training enrollment and occupational flows, and implement spatial panel models with synthetic control groups to measure dynamic reallocation.

39. Land-Titling via Blockchain and Informal Credit: Are transparent records changing informal collateral networks?

We ask: Does implementation of blockchain-backed land registries alter access to informal loans, interest-rate spreads, and dispute-resolution outcomes in communities with weak formal courts? We ask: How do trust dynamics and network lenders respond to immutable records versus perceptual legitimacy? We outline how to work on this topic: We conduct comparative case studies of pilot blockchain titling programs, collect lender-borrower transaction histories, and deploy matched surveys and lab-in-the-field trust experiments; we analyze credit terms with difference-in-differences and structural models of collateral value.

40. Quantum-Resistant Auctions and Market Design: How does preparing for quantum-compute threats affect auction robustness and bidder strategies?

We ask: When auction platforms transition to quantum-resistant cryptographic protocols, do latency and verification costs materially change bidder participation and revenue properties? We ask: How do bidders adjust strategies under new commitment and secrecy constraints? We outline how to work on this topic: We formalize auction models incorporating cryptographic cost parameters, run laboratory experiments comparing traditional and quantum-resistant implementations, and calibrate models using data from high-frequency procurement platforms undergoing security upgrades.

41. Shadow gig-transport networks, congestion externalities, and informal fare-setting

We propose studying how informal app-less ride services in mid-sized cities create hidden congestion and spatial price distortions. We ask: How do shadow gig-transport networks adjust fares and routes in response to formal regulation shocks; What are the local externalities (congestion, pollution, labor supply) that do not appear in official statistics; How do these networks alter spatial equilibrium and public transit usage? We outline work by combining GPS traces from a targeted smartphone scraping study, municipal traffic sensors, and semi-structured driver interviews, and by building an agent-based model to simulate externalities and counterfactual regulations.

42. Algorithmic micro-pricing as tacit collusion in geographically thin markets

We propose investigating whether localized algorithmic pricing systems lead to tacit collusion even when firms do not explicitly coordinate. We ask: Under what information and feedback structures do price algorithms converge to supra-competitive prices in thin markets; How does entry of natural-person sellers (platform individuals) disrupt or entrench algorithmic collusion; What measurable signals indicate tacit coordination versus independent optimization? We plan to combine field experiments on a niche online marketplace, structural estimation of pricing dynamics, and laboratory studies where human sellers interact with simple pricing bots to identify mechanisms.

43. CBDC wallet architecture and behavioral inclusion of the unbanked

We propose evaluating how design choices for central bank digital currency wallets affect uptake, savings behavior, and informal borrowing among unbanked populations. We ask: How do custody limits, privacy guarantees, and tiered features shape trust and usage; Do offline-capable wallets change liquidity smoothing for informal workers; What are distributional effects across gender and age? We will use randomized controlled trials with prototype wallet interfaces in partnership with a central bank pilot, matched with financial diaries and transaction-level experiments.

44. Climate-driven migration, remittance timing, and local labor market hysteresis

We propose analyzing whether climate shocks create persistent local labor market distortions through altered remittance timing and skill-biased migration. We ask: How do sudden climate events change the seasonality and composition of remittances; Do remittance patterns induce hysteresis in local wages and sectoral employment; What role do social networks play in mediating these effects? We will exploit high-frequency remittance flows from mobile money providers, combine them with weather shocks and administrative employment records, and estimate dynamic panel models with network fixed effects.

45. Personalized AI bargaining agents, wage dynamics, and inequality in task-based labor markets

We propose exploring how adoption of personalized AI agents for contract negotiation affects wages, bargaining power, and inequality among platform workers. We ask: Does access to negotiation AIs compress or widen wage dispersion; How do employers respond to worker-side negotiation automation; What equilibrium emerges when bargainers learn and adapt? We suggest running a staged field deployment where a subset of workers receives varied AI negotiation support, measuring contract outcomes, and calibrating a repeated bargaining model with learning.

46. Tokenized voting rights, stake fragmentation, and decision quality in Decentralized Autonomous Organizations (DAOs)

We propose measuring how fractional token ownership and secondary token markets affect governance choices and project success in DAOs. We ask: Does high liquidity of voting tokens lead to short-termist proposals; How does stake fragmentation influence voter participation and decision quality; Can governance-design features mitigate adverse incentives? We will compile a novel panel of DAO proposals, on-chain token distributions, and secondary market trades, and run event-study regressions and instrumental-variable analyses using exogenous smart-contract upgrades as instruments.

47. Microinsurance claim frictions, moral hazard, and entrepreneurial risk-taking in smallholder agriculture

We propose studying whether claim verification frictions and payout timing in microinsurance products alter farmers’ risk-taking and investment behavior. We ask: Do slower or more onerous claim processes reduce uptake and increase conservative crop choices; Can streamlined digital claim verification increase profitable but riskier investments; What is the welfare trade-off between fraud control and moral hazard? We will partner with an insurer to randomize claim-process complexity across similar villages, track farm investment and yields, and estimate heterogeneous treatment effects.

48. Circular-economy incentives for informal SMEs: productivity, tax compliance, and environmental outcomes

We propose testing whether modest subsidies and municipal recognition programs for material reuse increase productivity and formalization among informal small and micro-enterprises. We ask: Do circular-economy incentives change production processes and product quality; How do these programs affect tax registration and compliance; What are net environmental gains accounting for scale and leakage? We plan an RCT offering bundled incentives (microgrants, technical assistance, public certification) to informal firms, combined with waste-flow measurements and tax-record linkages.

49. Sovereign GDP-linked debt contracts, political constraints, and renegotiation dynamics

We propose examining how domestic political institutions and creditor heterogeneity shape the pricing and renegotiation outcomes of GDP-linked sovereign bonds. We ask: Under what political cycles do governments prefer GDP-linked terms; Do such contracts reduce renegotiation length and haircuts conditional on shocks; How do heterogeneous creditor types (banks vs funds) influence contract design? We will construct a novel dataset of GDP-linked clauses, use narrative political variables and creditor composition, and estimate hazard models of default and renegotiation outcomes.

50. Remote work spatial mismatch, municipal fiscal bifurcation, and local public-good provision

We propose assessing whether persistent remote-work adoption creates bifurcated housing markets and uneven municipal tax bases that undermine local public-good provision. We ask: How does stable remote work change property-tax yields and demand for municipal services across city submarkets; Do fiscal responses (tax changes, service cuts) induce further spatial sorting; What policy tools can municipalities use to stabilize public-good provision? We will combine granular tax-assessment data, employer remote-work indices from job postings, and difference-in-differences estimation across comparable municipalities, supplemented by a spatial equilibrium model to simulate policy levers.