we-solve (beta)

Econ-569 · economics · Economics

Trade-policy uncertainty

LLM status Open unverified

Statement

Atlas ID: T5; original number: 85; field: International trade. Classification: Editorial research formulation (theoretical/empirical); not a certified unsolved theorem.

Definitions and assumptions

At dates $0,\ldots,H$, a firm chooses investment, export entry and sourcing under sunk costs, borrowing limits and tariff path $T=(T_1,\ldots,T_H)$. Model $\theta$ specifies technology, demand, discounting and information. At date zero the firm’s posterior law $\mu$ over future tariffs is part of the state. Other exogenous shocks have a specified joint law with $T$. Define investment $I_\theta(\mu)$ through optimal feasible dynamic choices, jointly with a stated market equilibrium and selection where relevant. Assume finite expected profits and a measurable optimal policy.

Formal research question

For probability laws $\mu_0,\mu_1$ with common date-by-date expected tariffs and common current tariffs, define \[ U_I(\theta;\mu_1,\mu_0) =\mathbb E_{\mu_1}[I_\theta(\mu_1)] -\mathbb E_{\mu_0}[I_\theta(\mu_0)]. \] Specify the expectation over remaining observable firm states. Require $\mu_1$ to be a mean-preserving spread of $\mu_0$ in a stated multivariate convex order if that is the intended uncertainty increase. Characterize when $U_I$ is negative, zero or positive, and identify its magnitude separately from changes in expected tariffs, demand, financing conditions and risk premia. Establish what belief surveys, policy announcements and investment panels identify rather than simply correlate with this effect.

Interpretation and scope

A variance increase is not a complete ordering of multi-period uncertainty, and a credible agreement usually changes both the mean and the distribution of tariffs. Irreversibility can generate waiting incentives, but a universal negative response should not be asserted without restrictions. Distinguish subjective firm beliefs from a researcher’s uncertainty index. Empirical identification needs exogenous changes in the relevant posterior law or an explicit structural restriction connecting announcements, beliefs and choices. For general equilibrium effects, allow entry and input-price feedback rather than summing partial-equilibrium firm responses. Any instrument must affect beliefs through the modeled announcement while excluding unmodeled direct effects on investment demand.

Source audit and status

[S1] develops policy-uncertainty and sunk-cost mechanisms; [S2] relates a historical change in tariff risk to manufacturing; [S3] constructs uncertainty measures and aggregate evidence. They do not separately identify every mean-preserving uncertainty counterfactual. The question is an editorial causal and comparative-statics agenda whose current completeness is not certified by these references.

References

    },leftmargin=*]

  1. Kyle Handley and Nuno Limão (2015). Trade and Investment under Policy Uncertainty: Theory and Firm Evidence. American Economic Journal: Economic Policy 7(4), 189–222. https://doi.org/10.1257/pol.20140068. Locator and role: Publisher or author abstract / bibliographic record; Sunk export costs, policy uncertainty and Portugal’s EC accession. Provides background or a benchmark result; does not establish that the editorial question remains unresolved in 2026.

  2. Justin R. Pierce and Peter K. Schott (2016). The Surprisingly Swift Decline of US Manufacturing Employment. American Economic Review 106(7), 1632–1662. https://doi.org/10.1257/aer.20131578. Locator and role: Publisher or author abstract / bibliographic record; Changes in tariff risk and US manufacturing employment; not a mean-preserving uncertainty experiment. Provides background or a benchmark result; does not establish that the editorial question remains unresolved in 2026.

  3. Dario Caldara, Matteo Iacoviello, Patrick Molligo, Andrea Prestipino, and Andrea Raffo (2020). The Economic Effects of Trade Policy Uncertainty. Journal of Monetary Economics 109, 38–59. https://doi.org/10.1016/j.jmoneco.2019.11.002. Locator and role: Publisher or author abstract / bibliographic record; Trade-policy uncertainty measures and aggregate investment responses. Provides background or a benchmark result; does not establish that the editorial question remains unresolved in 2026.

Common conventions: Source mathematical conventions

Unless an entry states otherwise, agent and firm sets are finite. State and action spaces are measurable, strategies and outcome maps are measurable, probability laws are specified, and expectations exist for the targets under discussion. Infinite-horizon discount factors lie in $(0,1)$ and discounted objectives are finite. Norms, tolerances and complexity input sizes must be specified for computational comparisons. Constants or primitives that appear locally are inputs, not empirical facts asserted by this catalogue.

Identification. A statistical model $m\in\mathcal M$ implies an observable law $P_m$ and target $\theta(m)$. At law $P$, its identified set is \[ \Theta(P;\mathcal M)=\{\theta(m):m\in\mathcal M,\ P_m=P\}. \] Point identification holds when this set is a singleton, or equivalently when $P_{m_1}=P_{m_2}$ implies $\theta(m_1)=\theta(m_2)$ for all compatible models. Sharp bounds mean bounds attained, or approached when the boundary is not attained, by compatible models. Writing this set is a definition, not a solution: the substantive task is to establish informative restrictions and derive or estimate the set. An unrestricted-confounding model may give only trivial bounds.

Inference. Identification, estimability and valid uncertainty quantification are separate questions. Fix $\alpha\in(0,1)$. A confidence procedure $C_n$ over a declared law class $\mathcal P$ has asymptotic uniform coverage at level $1-\alpha$ when \[ \liminf_{n\to\infty}\inf_{P\in\mathcal P}\Pr_P\{\theta(P)\in C_n\}\geq1-\alpha. \] For set-identified targets the coverage event must be defined separately, for example coverage of the full identified set. If an entry uses identification-indexed models instead of uniquely indexed laws, the same coverage convention is applied over those models. Pointwise limits do not establish uniform validity, and asymptotic validity does not guarantee finite-sample precision. Sample sizes, dependence structures and weak-identification sequences are part of each application.

Counterfactuals. $Y_i(a)$ is a potential outcome under a specified intervention, including its timing, implementation and versions. It is not $Y_i$ conditional on voluntarily choosing $a$. A full intervention vector permits interference; shorthand scalar treatment notation does not silently impose no interference. Assignment, selection, attrition, anticipation and measurement must be specified. A claim about an instrument's local effect is not automatically a population policy effect.

Economic equilibrium. A counterfactual model includes best responses, constraints, feasibility, market clearing, state transitions and expectations consistent with the stated information. When several equilibria exist, either a declared selector is an input or the target is set-valued. Comparisons across policy regimes must use the stated selection convention. Reduced-form relationships are not presumed invariant after an equilibrium-changing intervention.

Optimization and welfare. Optimization is over the stated feasible set. If attainment is not established, $\sup$ or $\inf$ and $\varepsilon$-optimal choices replace an asserted maximizer or minimizer. For example, with value $V=\sup_{a\in\mathcal A}W(a)<\infty$, an $\varepsilon$-optimal set is $\{a\in\mathcal A:W(a)\geq V-\varepsilon\}$ for $\varepsilon>0$. Benefits, costs, risk and health or environmental outcomes can be aggregated only using declared units and conversion weights. Interpersonal utility weights, the treatment of fiscal transfers and foreign profits, discounting, and the behavioral welfare criterion are explicit inputs. A comparative-static derivative additionally requires existence and appropriate differentiability of the selected counterfactual.

Sources. Local labels [S1], [S2], and so forth restart in every question. Locators identify the relevant abstract, model, section or result at the level actually checked; a bibliographic or abstract-level verification is not represented as inspection of an entire proof. Working papers are distinguished from later publications and changing versions. Source summaries are paraphrased. All URL checks and editorial formulations refer to the audit date stated above.

Statement licence: CC-BY-4.0 · Source file

Contributions 1

Econ-569-A1 · Exploration · LLM-generated · gpt 6 astra ultra ·

GPT 6 Astra Ultra attempt on Econ-569

Trade-policy uncertainty: waiting, operating flexibility, and the sign of investment

Research target

The target holds expected tariffs fixed and changes the firm's posterior distribution, asking when investment falls, stays fixed, or increases. Sunk-cost waiting models can yield a negative effect, but the chosen timing margin and the operating technology matter. We prove a negative date-zero entry result under explicit waiting assumptions, construct a positive capacity response under the same convex-order notion of uncertainty, and identify a zero-response class. Handley and Limão [handley] provide an established dynamic trade benchmark; the simplified models below isolate sufficient conditions rather than reproduce their empirical estimates.

An irreversible entry decision with the option to wait

There are dates zero and one. At zero, the firm can buy one unit of irreversible export capacity for $K_0\ge0$, obtaining an immediate net operating benefit $b\ge0$. At one, the unit earns $V-T$, where $T$ is a nonnegative tariff drawn from the date-zero posterior $\mu$. Assume $V-T\ge0$ almost surely, so this benchmark does not need an additional shutdown option for capacity already installed. Alternatively, the firm waits, observes $T$, and can install the unit for $K_1\ge0$ just before date-one production. Discounting uses $\delta\in(0,1]$. No borrowing or market-price feedback changes these options.

Expected values of entry now and waiting are respectively \[ N(\mu)=b-K_0+\delta(V-E_\mu T),\qquad W(\mu)=\delta E_\mu[(V-K_1-T)_+]. \] Waiting includes never entering and therefore has nonnegative value. Select waiting at a tie. For random states $(b,K_0,K_1,V,\delta)$, compare laws conditional on the same state distribution; an unconditional increase in tariff variance alone does not impose the required conditional order.

Theorem (Convex-order uncertainty weakly discourages entry now): For each fixed firm state, let $\mu_0\preceq_{cx}\mu_1$: both laws are integrable and every integrable convex function has no smaller expectation under $\mu_1$, with equal means. Under the stated model, the date-zero investment decision \[ I_0(\mu)=\mathbf1\{N(\mu)>W(\mu)\} \] is weakly lower under $\mu_1$. The result also holds for average date-zero entry across any common distribution of firm states satisfying the conditional order.
Proof: Equal tariff means leave $N$ unchanged. The payoff $t\mapsto(V-K_1-t)_+$ is convex, so the convex-order assumption implies $W(\mu_1)\ge W(\mu_0)$. Hence $N>W(\mu_1)$ implies $N>W(\mu_0)$, proving the pointwise indicator inequality. Integrating this bounded inequality over the same state distribution proves the average statement. The proof also identifies precisely the extra option that makes uncertainty costly for immediate entry. ∎

For a strict example, set $V=2$, $K_0=K_1=1$, $b=1/4$, and $\delta=1$. A certain tariff of one gives $N=1/4$ and $W=0$, so the firm enters at zero. Replacing it by equal probabilities of zero and two preserves the mean and gives $W=1/2$, so the firm waits. The spread is a mean-preserving spread by Jensen's inequality. Total eventual entry under waiting is a different outcome: in the high-risk case the firm enters at one only at tariff zero. A theorem about date-zero entry cannot be silently reinterpreted as one about all future investment.

A positive response from operating flexibility

At zero, suppose instead that the firm must install capacity $I\ge0$ to operate at date one. Installation has real cost $c(I)$, with $c(0)=0$, continuously differentiable, strictly convex, and $c'(I)\to\infty$. At one, each installed unit may remain idle or produce, with net variable return $a-T$ before the already sunk installation cost. There is no future installation opportunity. Let $M(\mu)=E_\mu[(a-T)_+]$, finite under the stated tariff law.
Theorem (Convex-order uncertainty weakly raises installed capacity): The unique optimizer of $I M(\mu)-c(I)$ is zero when $M(\mu)\le c'(0)$, and otherwise is the unique positive solution $c'(I)=M(\mu)$. Thus $I(\mu_1)\ge I(\mu_0)$ whenever $\mu_0\preceq_{cx}\mu_1$. If $c(I)=I^2/2$, then $I(\mu)=M(\mu)$ for nonnegative tariffs and $a\ge0$.
Proof: Strict convexity of $c$ makes the profit objective strictly concave; the unbounded marginal cost ensures an attained finite maximizer. Its derivative is $M-c'(I)$, proving the stated corner and interior characterization. The shutdown payoff is convex in the tariff, so convex order raises $M$. The inverse of the strictly increasing marginal-cost function is increasing, including its zero-capacity extension. The quadratic formula is immediate. ∎
With $a=1$, quadratic installation cost, and the same tariff laws as above, certain tariff one gives capacity zero whereas the zero/two spread gives capacity $1/2$. The higher capacity is installed before tariffs are learned. No increase in expected tariffs, demand, or borrowing capacity explains it. The difference from the entry-now result is the feasible option set: here uncertainty raises the value of installed capacity's operating option rather than a future option to install.

If operation is mandatory and unit return is instead affine $a-T$, the objective is $I(a-E T)-c(I)$. Equal means then give exactly the same entire objective and the same optimizer. This proves a zero-response class. Together the three constructions rule out a universal sign based only on a mean-preserving uncertainty increase across all admissible firm technologies.

Why marginal tariff distributions do not define path uncertainty

For two future dates, compare laws supported equally on $(T_1,T_2)=(0,2),(2,0)$ and on $(0,0),(2,2)$. Every date has the same marginal law and expected tariff under both. Yet the option payoff $(2-T_1-T_2)_+$ has expectation zero in the first and one in the second. A sunk investment producing this contingent opportunity therefore has different value despite identical marginal tariff forecasts.

These two joint laws are not ordered in multivariate convex order. The convex function $(T_1+T_2-2)^2$ has larger expectation in the second, while $(T_1-T_2)^2$ has larger expectation in the first. Consequently one cannot label their comparison a multivariate mean-preserving spread without specifying a narrower payoff-relevant order. Covariance and timing belong to the posterior state, rather than being recoverable from separate tariff variances.

Identification implications and residual gap

In the first benchmark, observing entry alone supplies the inequality $N>W$ or its reverse. It does not identify the entire posterior or the option's value: many distributions have the same mean and the same expectation of a single stop-loss payoff. For example, any posterior supported above $V-K_1$ gives $W=0$, regardless of its variance. Measuring beliefs at multiple relevant tariff thresholds can identify more stop-loss expectations, but this still requires that stated beliefs govern choices and that costs are separately disciplined.

A policy agreement usually shifts several objects simultaneously, including expected tariffs and financing terms. The sign theorems therefore apply to a controlled distributional comparison, not automatically to an event-study coefficient around such an agreement. The detailed dynamic target retains heterogeneous sunk costs, borrowing constraints, entry equilibrium, and information arrival over many periods. No empirical magnitude is identified here. The attempt establishes exact sufficient conditions and counterexamples that any proposed universal negative-sign claim must confront, while leaving the full structural and empirical problem unresolved.

Completion Estimate

55%

This is a post hoc, heuristic estimate for the full catalogue target. The attempt proves negative waiting-entry, positive flexible-capacity, and zero affine-payoff responses to convex-order tariff uncertainty, and distinguishes marginal from joint path distributions. Full trade-policy uncertainty effects still require empirically identified posterior changes and magnitudes, richer information and financing dynamics, and endogenous entry, sourcing, and price responses.

References

Go to contribution →