Fiscal adjustments and asset price changes

This paper examines the links between asset price movements and fiscal adjustments. Our findings suggest that higher asset prices improve fiscal balances and contribute to sustained consolidation. This refers in particular to real equity and real residential property prices. We find evidence that revenue windfalls due to higher residential, commercial property and equity prices can be sustained, thus, improving revenue and primary balances. There is evidence of a positive association of some asset prices changes with expenditure adjustments. Fiscal adjustments and in particular sharp spending cuts are more likely to be successful if undertaken in periods of dire budgetary and economic conditions.     

Testing price equations

How inflation and unemployment are related in both the short run and long run is perhaps the key question in macroeconomics. This paper tests various price equations using quarterly U.S. data from 1952 to the present. Issues treated are the following. (1) Estimating price and wage equations in which wages affect prices and vice versa versus estimating “reduced-form” price equations with no wage explanatory variables. (2) Estimating price equations in (log) level terms, first difference (i.e., inflation) terms, and second difference (i.e., change in inflation) terms. (3) The treatment of expectations. (4) The choice and functional form of the demand variable. (5) The choice of the cost-shock variable. The results suggest that the best specification is a price equation in level terms imbedded in a price-wage model, where the wage equation is also in level terms. The best cost-shock variable is the import price deflator, and the best demand variable is the unemployment rate. There is some evidence of a nonlinear effect of the unemployment rate on the price level at low values of the unemployment rate. Many of the results in this paper are contrary to common views in the literature, but the empirical support for them is strong.     

Asset price volatility and government revenue

This paper investigates the effect of commercial, residential property and equity price volatility on the variability of cyclically adjusted government revenue. We find significant evidence that asset price volatility increases the variability of government revenue. A 1% increase in equity price volatility increases government revenue variability by 0.37–0.44%. An increase in residential property price volatility increases revenue volatility by about 0.15–0.22%, whereas this effect diminishes to 0.11% in case of commercial property price. This evidence reflects the automatic increase of government revenue variability due to asset price movements and supports arguments in favour of adjusting fiscal variables for both business cycle and asset price changes. However, we also find evidence that equity price variability increases revenue variability even when government revenue is adjusted for both economic and asset price cycles, indicating the presence of more complicated dynamics between fiscal variables and asset price changes.     

Reconciling microeconomic and macroeconomic estimates of price stickiness

This paper attempts to reconcile the high estimates of price stickiness from macroeconomic estimates of a New-Keynesian Phillips curve (NKPC) with the lower values obtained from surveys of firms’ pricing behaviour. This microeconomic evidence also suggests that the frequency with which firms adjust their prices varies across sectors. Building on the insights of Carvalho (2006), we present Monte Carlo evidence that suggests that in the presence of this heterogeneity estimates of the NKPC obtained using conventional methods, such as GMM, are likely to considerably overstate the degree of aggregate price stickiness. Furthermore, if roundabout production is a characteristic of the economy the NKPC will falsely suggest that a sizeable fraction of prices are indexed to past inflation. These problems arise because of a type of misspecification and a lack of suitable instruments.     

New models of trader beliefs and their application for explaining financial bubbles

One challenging and exigent problem in behavior finance is how to establish verifiable models describing the appearance and burst of price bubbles. Current results are enhanced in this paper through a series of improvement as follows: new models are proposed for describing the return and dividend processes, especially the trader's behavior with the adaptive expectation belief and the bounded rational expectation belief, respectively; with these models, we establish dynamical systems in terms of the price-to-earnings ratio and the forecast-to-earnings ratio; the detailed solution and asymptotic analysis of these equations provide new, elaborate and quantitative explanations for both the formation and disappearance of different price bubbles; inspired by the herd behavior framework, a new random belief evolutionary mechanism is devised to model the belief change between two beliefs; a specific genetic algorithm is designed to efficiently estimate model parameters; simulation and empirical studies are carried out to illustrate the application of new methods. Both theoretical and empirical results sufficiently show the reasonability, practicality, efficiency and robustness of our new models and methods for properly explaining the appearance and burst of different kinds of price bubbles.     

Time consistent monetary policy with endogenous price rigidity

I characterize time consistent equilibrium in an economy with price rigidity and an optimizing monetary authority operating under discretion. Firms have the option to increase their frequency of price change, at a cost, in response to higher inflation. Previous studies, which assume a constant degree of price rigidity across inflation regimes, find two time consistent equilibria—one with low inflation, the other with high inflation. In contrast, when price rigidity is endogenous, the high inflation equilibrium ceases to exist. Hence, time consistent equilibrium is unique. This result depends on two features of the analysis: (1) a plausible quantitative specification of the fixed cost of price change, and (2) the presence of an arbitrarily small cost of inflation that is independent of price rigidity.     

Convergence in price levels across US cities

This paper empirically tests for convergence in consumer price indices across 17 major cities in US over the 1918-2008 period. By using the novel OLS estimator introduced by Bao, Y., Dhongde, S., 2009. Testing convergence in income distribution. Oxford Bulletin of Economics and Statistics 71, 295-302, we find overwhelming evidences in support of price level convergence over time.     

Solving the price puzzle with an alternative indicator of monetary policy

We identify the effects of monetary policy shocks on macroeconomic variables in VARs using the Divisia M4 measure of money as the policy indicator variable. We obtain theoretically sensible responses—whether or not a commodity price index is included. Thus, we eliminate the well-known empirical puzzles from the VAR by a novel choice in a policy variable, rather than the usual attachment of an ad hoc variable.     

Does it matter (for equilibrium determinacy) what price index the central bank targets?

What inflation rate should the central bank target? We address determinacy issues related to this question in a two-sector model in which prices can differ in equilibrium. We assume that the degree of nominal price stickiness can vary across the sectors and that labor is immobile. The contribution of this paper is to demonstrate that a modified Taylor Principle holds in this environment. If the central bank elects to target sector one, and if it responds with a coefficient greater than unity to price movements in this sector, then this policy rule will ensure determinacy across all sectors. The results of this paper have at least two implications. First, the equilibrium-determinacy criterion does not imply a preference to any particular measure of inflation. Second, since the Taylor Principle applies at the sectoral level, there is no need for a Taylor Principle at the aggregate level.     

Robust asset prices with bubbles

We generally establish equilibrium asset prices than can include price bubbles yet (a) be robust to truncations of the economy and (b) exclude trade in non-consumables, like money, stock certificates, or land deeds.     

Cass transversality condition and sequential asset bubbles

Summary. The objective of this paper is to illustrate the connection existing between the asymptotic value of a certain random series and the absence of asset pricing valuation bubbles in stochastic economies with sequential markets. This series, in turn, is closely related to the one proposed by Cass to characterize efficient accumulation paths in Solow models.Received: 3 June 2003, Revised: 3 March 2004, JEL Classification Numbers: C61, C62, D51, G12.A first draft of this paper was presented at the V Conference of the Society for the Advancement of Economic Theory, Ischia, Italy, 2001. I am grateful to S. Spear and an anonymous referee for their valuable comments. This research was partially supported by MIUR (Ministero dellIstruzione, Universitá e Ricerca).     

Heterogeneity in price setting behavior,spatial disparities and sectoral diversity: Evidence from a panel of Italian firms

In this paper, we analyze firms' pricing behavior using a full informative micro dataset that accounts for a large part of Italian firms. In our view, “the black boxes” to examine are the relations between price setting, market structure and spatial disparities. The paper aims to extend the empirical literature in several directions. A first goal of the research is to investigate the link between heterogeneity in price changes and spatial dependence. Besides, we compare the price dynamics among sectors, namely manufacturing vs. service. It is irrefutable that prices stickiness is linked to good market rigidities. Consequently, these issues have extremely important policy implications; for instance, the Monetary Authority considers the macro price indexes in order to determine the right policy to stabilize the economy and to improve social welfare. However, the Central Bank does not distinguish the likely aggregation bias source from the cross sector–region–country heterogeneities.     

Periodically collapsing Evans bubbles and stock-price volatility

This paper analyzes stock-price volatility in the presence of periodically collapsing Evans bubbles. We derive a volatility formula that establishes a link between the bubble component and stock-price volatility. We demonstrate how to fit the volatility equation to stock-market data.     

Modeling nonlinear Granger causality between the oil price and U.S. dollar: A wavelet based approach

In this paper, we use a wavelet approach to study the linear and nonlinear Granger causality between the real oil price and the real effective U.S. Dollar exchange rate. Instead of analyzing the time series at their original level, as it is usually done, we first decompose the two macroeconomic variables at various scales of resolution using wavelet decomposition and then we study the relationships among the decomposed series on a scale by scale basis. A major finding of this paper is that the linear and nonlinear causal relationships between the real oil price and the real effective U.S. Dollar exchange rate vary over frequency bands as it depends on the time scales. Indeed, there is a strong bidirectional causal relationship between the real oil price and the real dollar exchange rate for large time horizons, i.e. corresponding to fundamentalist traders, especially fund managers and institutional investors. But, for the first frequency band which corresponds to a class of traders whom investment horizon is about 3-months and whom trading is principally speculative (noise traders), the causality runs only from the real oil prices to real effective U.S dollar exchange rate.     

The recent boom–bust cycle: The relative contribution of capital flows, credit supply and asset bubbles

We use an estimated open economy DSGE model with financial frictions for the US and the rest of the world to evaluate various competing explanations about the recent boom–bust cycle. We find that the savings glut hypothesis is insufficient for explaining all aspects of the boom in the US. Relatively strong TFP growth and expansionary monetary policy are also not able to explain fully the volatility of corporate and in particular residential investment. We identify bubbles in the stock and housing market as crucial. Concerning the downturn in 2008/2009, the fall in house prices and residential investment only plays a minor role. Mortgage defaults have more explanatory power, especially in a specification of the model with a segregated equity market. Finally, the bursting of the stock market bubble was at least as important in this recession as in 2001. Because of various negative shocks hitting the economy at the same time in 2008/2009 and continued positive technology growth, not only the real interest rate declined but inflation fell rapidly and left insufficient room for monetary policy to play a similar stabilising role as in previous recessions.     

International asset markets and real exchange rate volatility

The real exchange rate is very volatile relative to major macroeconomic aggregates and its correlation with the ratio of domestic over foreign consumption is negative (Backus–Smith puzzle). These two observations constitute a puzzle to standard international macroeconomic theory. This paper develops a two country model with complete asset markets and limited enforcement for international financial contracts that provides a possible explanation of these two puzzles. The model performs better than a standard incomplete markets model with a single non-contingent bond unless very tight borrowing constraints are imposed in the latter. With limited enforcement for both domestic and international financial contracts, the model's asset pricing implications are brought into line with the empirical evidence, albeit at the expense of raising real exchange rate volatility.     

The choice of a foreign price measure in a Bayesian estimated new-Keynesian model for Israel

We estimate a small DSGE model by full information Bayesian techniques on the basis of Israeli data from 1995 to 2006. The model was first developed and estimated by means of classical GMM in Argov and Elkayam (2010), and since then it has been used at the Bank of Israel for monetary policy analysis. It is widely believed that in 2007 (out of sample year) as elsewhere worldwide, inflation rose in Israel due to high commodity prices in global markets. However, our baseline model attributes most of the high inflation in 2007 to supply shocks. One conjecture is that this model's result derives from the inappropriate original use of the unit value of imported consumer goods (which do not include unprocessed food and energy) as the main foreign price measure. We test this conjecture by re-estimating the model with various other foreign price measures that typically do reflect the global rise in commodity prices and compare the log-marginal likelihoods. We find that no other price measure outperforms the original choice in the sample period. Only the foreign trade-weighted CPI equals the performance of the original choice while improving the 2007 interpretation of inflation, and should therefore be considered the main foreign price measure. The proposed methodology for comparing the suitability of alternative measures for observable variables can be applied to any model with exogenous variables that are characterized by univariate equations.     

The impact of exchange rate volatility on plant-level investment: Evidence from Colombia

We estimate the impact of exchange rate volatility on firms' investment decisions in a developing country setting. Employing plant-level panel data from the Colombian Manufacturing Census, we estimate a dynamic investment equation using the system-GMM estimator developed by Arellano and Bover (1995) and Blundell and Bond (1998). We find a robust negative impact of exchange rate volatility, constructed either using a GARCH model or a simple standard deviation measure, on plant investment. Consistent with theory, we also document that the negative effect is mitigated for establishments with higher mark-up or exports, and exacerbated for lower mark-up plants with larger volume of imported intermediates.