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Pareto-Improving Optimal Capital and Labor Taxes

Journal of Political Economy 2023 131(7), 1904-1946 open access
We study optimal Pareto-improving factor taxation when agents are heterogeneous in their labor productivity and wealth and markets are complete. Pareto-improving policies require a gradual reform: labor taxes should be cut, and capital taxes should remain high for a long time before reaching the limit. This policy redistributes wealth in favor of workers, promotes growth, and causes early deficits and government debt in the long run. We address several technical issues, such as sufficiency of Lagrangian solutions in a Ramsey problem, their relation to welfare functions, and solution algorithms. We also provide a proof that long-run capital taxes are zero.

Government Debt Management: The Long and the Short of It

Review of Economic Studies 2019 86(6), 2554-2604 open access
Abstract Standard optimal Debt Management (DM) models prescribe a dominant role for long bonds and advocate against issuing short bonds. They require very large positions in order to complete markets and assume each period that governments repurchase all outstanding bonds and reissue (r/r) new ones. These features of DM are inconsistent with U.S. data. We introduce incomplete markets via small transaction costs which serves to make optimal DM more closely resemble the data : r/r are negligible, short bond issuance substantial and persistent and short and long bonds positively co-vary. Intuitively, long bonds help smooth taxes over states and short bonds over time. Solving incomplete market models with multiple assets is challenging so a further contribution of this article is introducing a novel computational method to find global solutions.

Stock Price Booms and Expected Capital Gains

American Economic Review 2017 107(8), 2352-2408 open access
Investors' subjective capital gains expectations are a key element explaining stock price fluctuations. Survey measures of these expectations display excessive optimism (pessimism) at market peaks (troughs). We formally reject the hypothesis that this is compatible with rational expectations. We then incorporate subjective price beliefs with such properties into a standard asset-pricing model with rational agents (internal rationality). The model gives rise to boom-bust cycles that temporarily delink stock prices from fundamentals and quantitatively replicates many asset-pricing moments. In particular, it matches the observed strong positive correlation between the price dividend ratio and survey return expectations, which cannot be matched by rational expectations. (JEL D83, D84, G12, G14)

Stock Market Volatility and Learning

Journal of Finance 2016 71(1), 33-82 open access
ABSTRACT We show that consumption‐based asset pricing models with time‐separable preferences generate realistic amounts of stock price volatility if one allows for small deviations from rational expectations. Rational investors with subjective beliefs about price behavior optimally learn from past price observations. This imparts momentum and mean reversion into stock prices. The model quantitatively accounts for the volatility of returns, the volatility and persistence of the price‐dividend ratio, and the predictability of long‐horizon returns. It passes a formal statistical test for the overall fit of a set of moments provided one excludes the equity premium.