TESTING FOR STATIONARITY WITH A BREAK IN PANELS WHERE THE TIME DIMENSION IS FINITE

In this paper, we consider the case of finite time dimension in the panel stationarity tests with structural breaks. By fixing T, the finite sample properties of the tests for both micro (T small and N large) and macro (both T and N large) panel data are generally greatly improved. More importantly, the derivation of the tests for finite T and , as opposed to joint asymptotic where N and simultaneously, avoids the imposition of the rate condition making the test valid for any (T, N) blend. Four models corresponding to the usual combination of breaks are considered. The asymptotic distributions of the test are derived under the null hypothesis and are shown to be normally distributed. Their moments for T fixed are derived analytically employing Ghazal’s corollary 1. The case with unknown breaks is also considered. The proposed tests have generally empirical sizes that are very close to the nominal size. The Monte Carlo simulations show that the power of the test statistics increases substantially with N and T.     

THE EFFECTIVENESS OF NON‐TRADITIONAL MONETARY POLICY MEASURES: THE CASE OF THE BANK OF JAPAN*

This paper summarizes non‐traditional monetary policy measures adopted by the Bank of Japan (BOJ) during the last 2 decades and by other G7 central banks since the start of the current global financial turmoil and analyses the effectiveness of such measures. The paper begins with a typology of policies usable near the zero lower bound on interest rates. They are: (i) forward guidance of future policy rates; (ii) targeted asset purchases; and (iii) quantitative easing. Using this typology, I review the measures adopted by the BOJ and other central banks. I then offer a news analysis of the effects of the measures adopted by the BOJ on asset prices, comparing them with those adopted by the Fed. Many of the measures, with the exception of strategy (iii), are shown to have moved asset prices in the expected directions. Another exception is that most of the monetary easing measures failed to weaken the yen. Despite some effects on asset prices, however, the measures have failed to stop the deflationary trend of the Japanese economy clearly. I discuss some possible reasons for this and more general implications for monetary policy.     

THE INF‐T TEST FOR A UNIT ROOT AGAINST ASYMMETRIC EXPONENTIAL SMOOTH TRANSITION AUTOREGRESSIVE MODELS

This paper proposes a new test for a unit root against an alternative of asymmetric exponential smooth transition autoregressive models, by extending the infimum test developed by Park and Shintani. Simulation results suggest that the test performs reasonably well in finite samples. The proposed test is also applied to real exchange rates to examine their asymmetric and nonlinear mean‐reverting properties.     

Testing for joint significance in nonstationary binary choice model

This paper investigates the test of joint significance for binary choice model with multiple integrated explanatory variables. It is found that for the widely used logit and probit models, even though the estimators have a different convergence rate under null hypothesis compared with the case under alternative, the commonly used Wald statistic is still useful, and asymptotically chi-squared.     

Inverse demand systems and choice of functional form

Barten (Empirical Economics 18 (1993) 129) recently advocated estimation of a synthetic demand system that mechanically nests four other popular differential demand models. This paper follows a similar strategy, but in the context of four inverse share-equation demand systems: The Inverse Translog Demand System (ITLDS); the Inverse Almost Ideal Demand System (IAIDS); the Inverse Lewbel Demand System (ILDS); and the Inverse Non-Separable Linear Expenditure System (INLES). Each of these specifications is artificially nested in a Hybrid Inverse Demand System (HIDS). An empirical application to three categories of quarterly U.S. meat demand data over the period 1961-1996 indicates the HIDS is a preferred specification.     

Benford's Law as an Indicator of Fraud in Economics

Abstract. Contrary to intuition, first digits of randomly selected data are not uniformly distributed but follow a logarithmically declining pattern, known as Benford's law. This law is increasingly used as a 'doping check' for detecting fraudulent data in business and administration. Benford's law also applies to regression coefficients and standard errors in empirical economics. This article reviews Benford's law and examines its potential as an indicator of fraud in economic research. Evidence from a sample of recently published articles shows that a surprisingly large proportion of first digits, but not of second digits, contradicts Benford's law.     

THE WELFARE PERFORMANCE OF SEQUENTIAL PRICING MECHANISMS*

Consumers are commonly required to subscribe to particular tariff options before uncertainty regarding their future purchases gets resolved. Since the general comparison of welfare performance of different pricing mechanisms is ambiguous, this article empirically evaluates the expected welfare associated with standard nonlinear pricing and optional tariffs by using information directly linked to the type of individual consumers. Results show that tariffs composed of nonlinear options do not necessarily outperform simpler pricing strategies in terms of expected profits. Furthermore, evidence suggests that a menu of optional two‐part tariffs dominates any other pricing strategy from an expected welfare perspective.     

Threshold effects in panel data stochastic frontier models of dairy production in Canada

One of the most enduring problems in econometrics is how to properly account for heterogeneity among firms. Threshold regression models are intuitively appealing methods to deal with this issue. We consider a fixed-effect panel data stochastic frontier model (Schmidt and Sickles, 1984; Martin-Marcos and Suarez-Galvez, 2000) and, relying on Hansen (1999, 2000a), we propose an estimator that accommodates multiple thresholds. Our model assumes absence of any unmeasured time invariant heterogeneity across firms as in Greene (2005, p. 277). Slope and threshold parameters can be estimated using a within estimator combined with a grid search over the threshold parameters. Testing for threshold effects is problematic because threshold parameters are not identified under the null hypothesis, a case of the so-called Davies' problem. We apply the bootstrap procedure proposed by Hansen (1999, 2000a) to test for the presence of thresholds. An asymptotic confidence set for the threshold parameter can be obtained by inverting an LR test, using the distribution result presented in Hansen (1999, 2000a). Our empirical application features a panel of Quebec dairy farms. We use farm size as the threshold variable. The presence of a trend in the specification matters for the determination of the number of thresholds. Technical efficiency scores and rankings of farms estimated from competing model specifications are highly correlated and do not vary significantly across groups of farm sizes defined by the threshold parameter values.     

The ‘Puzzles’ methodology: En route to Indirect Inference?

We review the methods used in many papers to evaluate DSGE models by comparing their simulated moments with data moments. We compare these with the method of Indirect Inference to which they are closely related. We illustrate the comparison with contrasting assessments of a two-country model in two recent papers. We conclude that Indirect Inference is the proper end point of the puzzles methodology.     

AN ANALYSIS OF MONETARY POLICY SHOCKS IN JAPAN: A FACTOR AUGMENTED VECTOR AUTOREGRESSIVE APPROACH*

This paper analyses monetary policy shocks in Japan using a factor augmented vector autoregressive approach. There are three main findings. First, the time lags with which the monetary policy shocks are transmitted vary between the various macroeconomic time series. These include several series that have not been included thus far in standard vector autoregressive analysis, including housing starts and employment indices. Second, a coherent picture of monetary policy effects on the economy is obtained. Third, it is found that monetary policy shocks have a stronger impact on real variables, such as employment and housing starts, than industrial production.     

RECURRENT BUBBLES*

We study rational bubbles in a standard linear asset price model. We first consider a class of bubble processes driven by multiplicative i.i.d. shocks. We show that a bubble process in this class either diverges to infinity with probability one, converges to zero with probability one, or keeps fluctuating forever with probability one, depending on investors' “confidence” in expected bubble growth. We call a bubble process having the last property “recurrent.” We develop sufficient conditions for a bubble process to be recurrent when it is driven by non‐i.i.d. shocks, when the risk‐free interest rate is not constant, and when the process is driven by non‐i.i.d. shocks and the risk‐free interest rate is not constant. In the last case we demonstrate via simulation that there can be a prolonged period in which both the bubble and the interest rate stay close to zero.     

THE TIMING OF UPGRADES*

By using a durable‐goods monopolist model, this paper investigates the timing of upgrades. I consider a three‐period model where the monopolist can upgrade the product in the second and third periods by investing in R&D. I analyse the non‐commitment and commitment cases. In the latter case, the decision on the timing of upgrades is made in the first period in advance. It is shown that the time‐inconsistency problem causes the monopolist in the non‐commitment case to release a new version more rapidly than in the commitment case. Moreover, even in the non‐commitment case, the release of a new version can still be later than the optimum from the social viewpoint.     

Modelling conditional heteroskedasticity: Application to the “IBEX-35” stock-return index

This paper compares alternative time-varying volatility models for daily stock-returns using data from Spanish equity index IBEX-35. Specifically, we estimate a parametric family of models of generalized autoregressive heteroskedasticity (which nests the most popular symmetric and asymmetric GARCH models), a semiparametric GARCH model, the generalized quadratic ARCH model, the stochastic volatility model, the Poisson Jump Diffusion model and, finally, a nonparametric model. Those models which use conditional standard deviation (specifically, TGARCH and AGARCH models) produce better fits than all other GARCH models. We also compare the within sample predictive power of all models using a standard efficiency test. Our results show that the asymmetric behaviour of responses is a statistically significant characteristic of these data. Moreover, we observe that specifications with a distribution which allows for fatter tails than a normal distribution do not necessarily outperform specifications with a normal distribution.     

Testing the predictive power of the term structure without data snooping bias

It is well documented that the term structure of interest rates has predictive power for real economic growth. Applying the stepwise superior predictive ability test, we find that superior models contain both a short-term rate and a term spread.     

Empirical determination of aggregate demand and supply curves: The example of the RWI Business Cycle Model

Macroeconometric models are often criticised for being too complex and difficult to read in theoretical terms. To overcome these difficulties, Hickman suggested the calculation of a model's implicit aggregate demand/supply (AD/AS) structure. The method helps to understand models and their main properties in theoretical terms and facilitates detailed model comparisons. This paper uses the AD/AS–IS/LM apparatus to analyse the simulation properties of the RWI (Rheinisch-Westfälisches Institut für Wirtschaftsforschung) Business Cycle Model, a medium-sized short-term macroeconometric model for Germany. The results confirm theoretical expectations for AD and AS elasticities and reveal particular reactions linked to peculiar model specifications such as an endogenous government sector. The results are also much in line with a previous study in a multi-country model context.     

AN OLIGOPOLISTIC HECKSCHER–OHLIN MODEL OF FOREIGN DIRECT INVESTMENT*

We develop a 2 × 2 × 2 trade model in which one of the two sectors is perfectly competitive and the other is oligopolistic. The oligopoly sector consists of a given number of identical firms for each country, but they are free to locate in either country. The allocation of the firms between the two countries is endogenously determined, and changes in factor prices play a crucial role in establishing this equilibrium. Under this framework we examine the validity of factor price equalization, patterns of trade and gains from trade. Effects of technological progress and preference changes on firm locations are also analysed.