G. O. Gaudet, J. D. May, D. G. McFetridge, Optimal Capital Accumulation: The Neoclassical Framework in a Canadian Context, The Review of Economics and Statistics, Vol. 58, No. 3 (Aug., 1976), pp. 269-273

Social discount rates (SDRs) are crucial for evaluating the costs of climate change. We show that the fundamental anchor for market-based SDRs is the equilibrium or steady-state real interest rate. Empirical interest rate models that allow for shifts in this equilibrium real rate find that it has declined notably since the 1990s, and this decline implies that the entire term structure of SDRs has shifted lower as well. Accounting for this new normal of persistently lower interest rates substantially boosts estimates of the social cost of carbon and supports a climate policy with stronger carbon mitigation strategies.

What accounts for the apparent preference of firms to finance investment with internal funds? Recent theories stress information problems in capital markets, while older theories emphas ize the transactions costs of external finance. To test these competing hypotheses, the authors estimate the sensitivity of investment spend ing to internal funds across firms likely to face varying degrees of information problems and transactions costs. Several attributes are used to differentiate these firms. The results provide some support for information asymmetries as well as a source of the financing hierarc hy but indicate no significant role for transactions costs.

In this volume, four distinguished scholars explore several important facets of the growth of labor union power.

We study treatment-effect estimation using panel data. The treatment may be nonbinary, nonabsorbing, and the outcome may be affected by treatment lags. We make a parallel-trends assumption and propose event-study estimators of the effect of being exposed to a weakly higher treatment dose for ℓ periods. We also propose normalized estimators that estimate a weighted average of the effects of the current treatment and its lags. We also analyze commonly used two-way, fixed-effects regressions. Unlike our estimators, they can be biased in the presence of heterogeneous treatment effects. A local-projection version of those regressions is biased even with homogeneous effects.

We investigate the empirical effect of violence, as compared to other trade impediments, on trade flows. Our analysis is based on a panel data set with annual observations on 177 countries from 1968 to 1999, which brings together information from the Rose data set, the iterate data set for terrorist events, and data sets of external and internal conflict. We explore these data with traditional and theoretical gravity models. We calculate that, for a given country year, the presence of terrorism together with internal and external conflict is equivalent to as much as a 30% tariff on trade. This is larger than estimated tariff-equivalent costs of border and language barriers and tariff-equivalent reduction through generalized systems of preference and WTO participation.