We analyze the effect of green patents on G7 stock market returns. First, we build a small IS-LM model to identify the relevant channels, augmented with open-economy channels and the Green Tobin’s q (Faria et al., 2022). The model highlights that the intertemporal impacts of greening on stock returns are ambiguous. We then turn to an estimated global vector autoregressive model to more rigorously analyze the effect of monetary and green patenting shocks across the G7. Both shocks influence green patents through real and financial markets. As regards green patent shocks, results suggest that a tension exists over time between promoting pollution reduction and energy efficiency and the profitability of (green and brown) companies in the aggregate. We perform a variety of robustness exercises around our main results. Our results provide something of a challenge to the literature and call for more research effort to understand the various channels that might explain this dynamic—and in turn whether any particular policy recommendations follow.

We provide new evidence about US monetary policy using a model that: (i) estimates time-varying monetary policy weights without relying on stylized theoretical assumptions; (ii) allows for endogenous breakdowns in the relationship between interest rates, inflation, and output; and (iii) generates a unique measure of monetary policy activism that accounts for economic instability. The joint incorporation of endogenous time-varying uncertainty about the monetary policy parameters and the stability of the relationship between interest rates, inflation, and output materially reduces the probability of determinate monetary policy. The average probability of determinacy over the period post-1982 to 1997 is below 60% (hence well below seminal estimates of determinacy probabilities that are close to unity). Post-1990, the average probability of determinacy is 75%, falling to approximately 60% when we allow for typical levels of trend inflation.

This paper weighs possible medium-term responsible policy choices to the extraordinary expansion of government spending in response to the COVID-19 outbreak. The paper is divided into two parts. In part 1 of the paper, we look at conventional debt sustainability and question whether conventional rules created during a period of high interest rates and high inflation remain relevant. Current and future conditions support a case for government debt/GDP to remain elevated compared to history, conditional upon limited state interference in the economy to allow appropriate allocation of capital and resources. In part 2, we consider the historical experience of the United Kingdom. History shows the country had several examples of rapid, large-scale expansion of government debt relative to the size of the economy. On each occasion, the elevated level of debt-to-GDP was later reduced by a combination of relatively benign factors, including commitment to low inflation and sound monetary system. This supported the financial probity of the UK government and allowed it to continue to borrow unimpeded.

Increased credit availability facilitates land acquisition, but higher land values also hinder it. We investigate the impact of credit availability on land values, after regulatory changes in the lending system. We build an index of increased credit availability using Federal Reserve and Federal Deposit Insurance Corporation data. County-level panel fixed effects estimations are performed controlling for land value determinants, credit availability, and county-level macroeconomic factors. We find that estimating the effects of credit availability separately masks its total effect. Results show a 0.1 change in the index for increased credit availability is associated with 1.64–1.96% increase in land values.

Based on a behavioral stock-flow housing market model in which the expectation formation behavior of boundedly rational and heterogeneous investors may generate endogenous boom-bust cycles, we explore whether central banks can stabilize housing markets via the interest rate. Using a mix of analytical and numerical tools, we find that the ability of central banks to tame housing markets by increasing the base (target) interest rate, thereby softening the demand pressure on house prices, is rather limited. However, central banks can greatly improve the stability of housing markets by dynamically adjusting the interest rate with respect to mispricing in the housing market.

In this paper we show that Portugal benefitted from comparatively low-interest rates from the 13th century onwards, well before the generalised drop in interest rates in Europe. Contrary to the thesis that frontier economies struggle with high-interest rates and scarcity of capital, we find that the country's low and stable interest rates can be explained by its wide availability of land, combined with monetary stability and a favourable institutional network. These conclusions are built upon an entirely new dataset of interest rates and returns on capital for Portugal in the period 1230–1500.

The application of exchange rate target zones modeling to interest rates allows interpreting the puzzles that emerged with the public debt euro area crisis, namely the nonlinear behavior of the interest rates and the fact that some stand-alone countries, not belonging to the euro area, have not been subject to speculative attacks in spite of equally large public debt-to-gross domestic product (GDP) ratios. As a matter of fact, this model shows that in the case of a noncredible upper threshold for the interest rate (that may be due to both the lack of room for increasing further the required government primary surplus and/or the absence of a monetary authority acting as a lender of last resort), the resulting public debt unsustainability determines an interest rate nonlinearity and makes the crisis possible for public debt levels that would be stable in the presence of a credible interest rate target.

Over the last 20 years, the extent of defined benefit provision has declined substantially in the United Kingdom. Whilst most of the focus has been on deficits relating to past benefit accrual, the increasing cost of future benefit accrual is also important. There are two reasons for this. First, the change in the cost of defined benefit accrual represents the difference in the earnings for employees with membership of a defined benefit scheme and those with membership of a defined contribution scheme. Second, the current cost of defined benefit accrual gives an indication of the cost of an adequate pension. As such, it can be compared with levels of contribution to defined contribution schemes to determine whether these are adequate. I therefore look at how the cost of pensions has changed relative to the cost of non-pensions earnings. I also look at the main components of the change in pensions cost – those relating to benefits payable, discount rates and longevity – to analyse their relative importance. I find that the cost of employing a member of defined benefit pension scheme has consistently outpaced the cost of employing someone in a defined contribution arrangement. I also find that the current cost of accrual is significantly higher than the average level of payments to defined contribution schemes.

This is the third and last subpart of a long paper in which we consider stochastic interpolation for the Wilkie asset model, considering both Brownian bridges and Ornstein–Uhlenbeck (OU) bridges. In Part 3A, we developed certain properties for both these types of stochastic bridge, and in Part 3B we investigated retail prices and wages. In this paper, we investigate the remainder of many of our data series, relating to shares and interest rates. We conclude that, regardless of the form of the annual model, the monthly data within each year can be modelled by Brownian bridges, usually on the logarithm of the principal variable. But in no case is a simple Brownian bridge enough, and all series have their own peculiarities. Overall, however, our modelling produces simulations that are realistic in comparison with the known data. Many of our findings would apply to any similar model used for simulation over time. Our results have considerable importance for financial economics. We reconcile the conflict between the long-term mean-reverting modelling of Schiller and the short-term random walk modelling of Fama. This conclusion therefore has very wide significance.

The agricultural sector has operated in a period of high real interest rates for over half a decade. Some are concerned that this has limited capital availability and stagnated the historic capital for labor substitution occurring in the sector. This study proposes new procedures for estimating the aggregate production function of United States agriculture. Improvements include incorporation of total returns and revised measures of both durable and nondurable capital inputs. Results indicate increasing capital productivity has occurred, but encouraging further capital substitution may not benefit agricultural producers.

Periodically, events occur in the domestic and global economies that remind agricultural economists that macroeconomics matter. This was evident in the early 1980s when the Federal Reserve responded to double-digit inflation by driving interest rates to post-World War II period highs. The Asian financial crisis in the late 1990s, rising oil prices this past decade, and current stress in domestic and overseas financial markets serve to remind us again that externalities can have an effect on the economic performance and financial strength of U.S. agriculture. These effects are transmitted through interest rates, inflation, unemployment, real gross domestic product, and exchange rates.