Christian Gillitzer

Urban Structure and Housing Prices: Some Evidence from Australian Cities*

This paper studies determinants of some aspects of the structure of cities, including density and the price of land and housing. We use a version of the Alonso-Muth-Mills model, calibrated to broadly match some of the features of a representative large city. While the calibrated model omits many real-world features, it can nonetheless be used to explore the impact of factors such as: (i) the provision of transport infrastructure; (ii) zoning policies that limit housing density; (iii) frictions on the production of housing; and (iv) population size. The empirical section of the paper shows that the model is consistent with some empirical regularities for large Australian cities. The results of the paper draw attention to structural factors that may have contributed to developments in the Australian housing market in recent years.

A Characteristics Approach to Optimal Taxation: Line Drawing and Tax-Driven Product Innovation

Real‐world tax legislation assigns goods to different categories of tax rates on the basis of observable characteristics, allowing the tax system to handle a constantly evolving set of available goods. We recast the theory of optimal taxation in the language of characteristics, and we show how to optimally draw lines that delineate tax‐rate regimes. Such lines are associated with notches in tax liability as a function of characteristics, creating incentives to introduce goods with new combinations of characteristics in order to reduce tax liability. With a restricted set of tax instruments, such notches are in general part of the second‐best optimal tax system.

Housing Wealth Effects: Cross-sectional Evidence from New Vehicle Registrations

Understanding the relationship between housing wealth and consumption is important, because it informs the extent to which fluctuations in house prices might affect the broader economy. We investigate the relationship between housing wealth and consumption using postcode-level variation in house prices and administrative data on new passenger vehicle registrations as a proxy for consumption. In our preferred specification, we estimate an elasticity of new passenger vehicle registrations with respect to gross housing wealth of 0.4–0.5, and an average marginal propensity to consume (MPC) for new passenger vehicles of about 0.06 cents per dollar change in gross housing wealth. Assuming new vehicle registrations and total consumption have the same sensitivity to changes in housing wealth implies an MPC for total consumption of 2 cents per dollar change in gross housing wealth. But US evidence indicates that new vehicle consumption is particularly sensitive to changes in housing wealth. Assuming the same is true for Australia, our estimates imply an MPC for total consumption of less than 0.25 cents. Notably, we find evidence that the relationship between house prices and new vehicle registrations is heterogenous in income, with low-income households having a higher propensity to purchase a new vehicle following a rise in housing wealth than high-income households. This implies that the distribution of changes in house prices is relevant for understanding its effect on aggregate consumption.

The Sticky Information Phillips Curve: Evidence for Australia

The Sticky Information Phillips Curve (SIPC) provides a theoretically appealing alternative to the sticky-price New-Keynesian Phillips curve (NKPC). This paper assesses the empirical performance of the SIPC for Australia. There is only weak evidence in favour of the SIPC over the low-inflation period. Parameter estimates are sensitive to inflation measures and sample periods, and are theoretically inconsistent for several specifications. The apparent poor performance of the SIPC in part reflects the fact that inflation has become difficult to model since the introduction of inflation targeting. Over sample periods including the early 1990s disinflation, the SIPC appears to fit the data better.

The Effect of Consumer Sentiment on Consumption: Cross-Sectional Evidence from Elections

We seek to identify the causal effect of sentiment innovations on consumption. Using unique Australian consumer sentiment survey data we show that, immediately after elections with a change of government, supporters of the winning party report substantially more optimistic beliefs about economic conditions than supporters of the losing party. We argue that this variation in beliefs is orthogonal to changes in fundamentals and find robust evidence that the shifts in sentiment affect spending intentions. Furthermore, using geographic variation in sentiment, vote-shares and automobile purchases we find evidence that stated spending intentions are indicative of actual spending.

Do Political Attitudes Affect Consumers' Inflation Expectations

What sources of information do consumers use in forming their inflation expectations? We show for the United States and Australia that consumers report significantly lower inflation expectations when the political party they support holds executive office. This is surprising because both the United States Federal Reserve and the Reserve Bank of Australia set monetary policy to achieve price stability free from political control. Our findings cannot be explained by previously documented sources of heterogeneity in consumer inflation expectations nor models of imperfect information and rational inattention. We argue that our findings are most consistent with Gennaioli and Shleifers (2010) model of local thinking. We discuss implications for central bank communication.