This paper provides new estimates of the macroeconomic effects of tax changes using a new narrative dataset for the United Kingdom. Identification is achieved by isolating “exogenous” tax policy changes using the Romer and Romer narrative strategy. I find that a 1 percent cut in taxes increases GDP by 0.6 percent on impact and 2.5 percent over three years. The findings are remarkably similar to Romer and Romer narrative estimates for the United States, reinforcing the view that tax changes have powerful and persistent effects. “Exogenous” tax changes are also shown to have contributed to important episodes in the UK business cycle.

The impact of fiscal policy on economic activity is still a matter of great debate. And, ever since Keynes first commented on it, interwar Britain, 1918–39, has remained a particularly interesting and contentious case—not least because of its high-debt environment and turbulent business cycle. This debate has often focused on the effects of government spending, but little is known about the effects of tax changes. In fact, a number of tax reforms in the period focused on long-term and social objectives, often reflecting the personality of British Chancellors. Based on extensive historiographical research, we apply a narrative approach to the interwar period in Britain and isolate a new series of exogenous tax changes. We find that tax changes have a sizable effect on GDP, with multipliers exceeding 2 within two years. Our estimates provide new evidence on the effects of tax changes, contribute to the historical debate about fiscal policy in the interwar period and are also consistent with the sizable tax multipliers found after World War II.

Using a new narrative measure of fiscal policy shocks for the U.K., we show that households with mortgage debt exhibit large and significant consumption responses to tax changes. Homeowners without a mortgage, in contrast, do not adjust their expenditure, with responses not statistically different from zero at all horizons. We compare our findings to the predictions of traditional and newer theories of liquidity constraints, providing a novel interpretation for the aggregate effects of tax changes on the macroeconomy.

Using a novel source of quasi-experimental variation in interest rates, we develop a new approach to estimating the Elasticity of Intertemporal Substitution (EIS). In the U.K., the mortgage interest rate features discrete jumps—notches—at thresholds for the loan-to-value (LTV) ratio. These notches generate large bunching below the critical LTV thresholds and missing mass above them. We develop a dynamic model that links these empirical moments to the underlying structural EIS. The average EIS is small, around 0.1, and quite homogeneous in the population. This finding is robust to structural assumptions and can allow for uncertainty, a wide range of risk preferences, portfolio reallocation, liquidity constraints, present bias, and optimization frictions. Our findings have implications for the numerous calibration studies that rely on larger values of the EIS.

We investigate the effect of house prices on household borrowing using administrative mortgage data from the United Kingdom and a new empirical approach. The data contain household-level information on house prices and borrowing in a panel of homeowners, who refinance at regular and quasi-exogenous intervals. The data and setting allow us to develop an empirical approach that exploits house price variation coming from the idiosyncratic and exogenous timing of refinance events around the Great Recession. We present two main results. First, there is a clear and robust effect of house prices on borrowing. Second, the effect of house prices on borrowing can be explained largely by collateral effects. We study the collateral channel through a multivariate and nonparametric heterogeneity analysis of proxies for collateral and wealth effects.