Mariano Kulish

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.

Solving Linear Rational Expectations Models with Predictable Structural Changes

Standard solution methods for linear stochastic models with rational expectations presuppose a time-invariant structure. Consequently, credible announcements that entail future changes of the structure cannot be handled by standard solution methods. This paper develops the solution for linear stochastic rational expectations models in the face of a finite sequence of anticipated structural changes. These events encompass anticipated changes to the structural parameters and also anticipated additive shocks. We apply the solution to some examples of practical relevance to monetary policy.

Should Monetary Policy use Long-term Rates?

This paper studies two roles that long-term nominal interest rates can play in the conduct of monetary policy in a New Keynesian model. The first allows long-term rates to enter the reaction function of the monetary authority. The second considers the possibility of using long-term rates as instruments of policy. In both cases a unique rational expectations equilibrium exists. Reacting to movements in long yields does not improve macroeconomic performance as measured by the loss function. Long-term rates, however, turn out to be better instruments of monetary policy than short-term rates when the concern for inflation volatility is high.

Estimating the expected duration of the zero lower bound in DSGE models with forward guidance

Motivated by the increasing use of forward guidance, we consider DSGE models in which the central bank holds the policy rate fixed for an extended period of time. Private agents’ beliefs about how long the fixed-rate regime will last influences current output and inflation. We estimate the structural for US data and infer the expected duration of the zero lower bound regime. Our results suggest that the average expected duration is around 3 quarters and has varied significantly since the onset of the zero lower bound regime, with changes that can be related to the Federal Reserve’s forward guidance.

A graphical representation of an estimated DSGE model

ABSTRACT We write a New Keynesian model as an aggregate demand curve and an aggregate supply curve, relating inflation to output growth. The graphical representation shows how structural shocks move aggregate demand and supply simultaneously. We estimate the curves on US data from 1948 to 2010 and study two recessions: the 2001 recession and the Great Recession of 2008–2009. The Great Recession is explained by a collapse of aggregate demand driven by adverse preference and permanent technology shocks, and expectations of low inflation.

Direct effects of money on aggregate demand: another look at the evidence

Now that a number of central banks are faced with short-term nominal interest rates close to or at the zero lower bound, there is a renewed interest in the long-running debate about whether or not changes in the stock of money have direct effects. In particular, do changes in money have additional effects on aggregate demand outside of those induced by changes in short-term nominal interest rates? This article revisits and reinterprets the empirical evidence based on single equation regressions which is quite mixed, with some results supporting and other results denying the existence of direct effects. We use a structural model with no direct effects of money to show that the finding of positive and statistically significant coefficients on real money growth can be misleading. The model generates data that, when used to estimate analogues of the empirical regressions, produce positive and statistically significant coefficients on real money growth, similar to those often found when using actual data. The problem is that single equation regressions leave out a set of variables, which in turn, give rise to an omitted variables bias in the estimated coefficients on real money growth. Hence, they are an unreliable guide to calibrate monetary policies, in general, including at the zero lower bound.

Issues in Estimating New Keynesian Phillips Curves in the Presence of Unknown Structural Change

Many papers which have estimated models with forward looking expectations have reported that the magnitude of the coefficients of the expectations term is very large when compared with the effects coming from past dynamics. This has sometimes been regarded as implausible and led to the feeling that the expectations coefficient is biased upwards. A relatively general argument that has been advanced is that the bias could be due to structural changes in the means of the variables entering the structural equation. An alternative explanation is that the bias comes from weak instruments. In this paper we investigate the issue of upward bias in the estimated coefficients of the expectations variable based on a model where we can see what causes the breaks and how to control for them. We conclude that weak instruments are the most likely cause of any bias and note that structural change can affect the quality of instruments. We look at some empirical work in Castle et al. (2011) on the NK Phillips curve in the Euro Area. We assess whether the smaller coefficient on expectations that Castle et al. (2011) note when an allowance is made for structural change is due to weak instruments or to specification issues. Our finding suggests that it is probably a consequence of weak instruments.

Disinflations in a Model of Imperfectly Anchored Expectations

We study disinflations under imperfect credibility of the central bank. Imperfect credibility is modeled as the extent to which agents rely on adaptive learning to form expectations. Lower credibility increases the mean, variance, and skewness of the distribution of sacrifice ratios. When credibility is low, disinflationary policies become very costly for adverse realizations of the shocks. Even if the impact of an announcement decreases with lower credibility, pre-announcing a disinflation reduces the sacrifice ratio. Additionally, disinflationary policies implemented after a period of below trend inflation lead to lower sacrifice ratios. Opportunistic disinflations are desirable when credibility is low.

International Spillovers of Forward Guidance Shocks

We estimate a two-country model of the US and Canada over the post 2009 sample to study the cross-country spillovers of forward guidance shocks. To do so, we propose a method to identify forward guidance shocks during the fixed interest rate regime. US forward guidance shocks have a larger impact than conventional monetary policy shocks. A 2 quarter expansionary forward guidance shock decreases Canadian output by about 0.2% to 0.4% on impact. The effect of US forward guidance shocks on Canadian output, unlike conventional policy shocks, depends crucially on the state of the US risk premium shock. The estimated forward guidance shocks coincide with significant US monetary policy announcements such as the introduction of calendar based guidance.