We revisit the concept of unpredictability to explore its implications for forecasting strategies in a non-stationary world subject to structural breaks, where model and mechanism differ. Six aspects of the role of unpredictability are distinguished, compounding the four additional mistakes most...

The so-called purchasing-power parity (PPP) puzzle takes one of two forms. In its first form, early tests of the PPP-hypothesis failed to reject unit roots in real exchange rates, thus rejecting the hypothesis of PPP holding in the long term. In the more recent literature, the literature on the...

A large number of microeconomic decision variables such as investments, prices, inventories or employment are characterized by intermittent large adjustments. The behavior of those variables has been often modeled as following state-dependent rules. The optimality of such state-dependent rules...

This paper proposes unit root tests based on partially adaptive estimation. The proposed tests provide an intermediate class of inference procedures that are more efficient than the traditional OLS-based methods and simpler than unit root tests based on fully adaptive estimation using...

This paper considers tests of misspecification in a heteroscedastic transformation model. We derive Lagrange multiplier (LM) statistics for (i) testing functional form and heteroscedasticity jointly, (ii) testing functional form in the presence of heteroscedasticity, and (iii) testing...

The recent literature on “convergence� of cross-country per capita incomes has been dominated by two competing hypotheses: “global convergence� and “club-convergence�. This debate has recently relied on the study of limiting...

We introduce a new approximation method for the distribution of functions of random variables that are real-valued. The approximation involves moment matching and exploits properties of the class of normal inverse Gaussian distributions. In the paper we we examine the how well the different...

We provide new methods for inference in econometric models where the parameter of interest is a set. These models arise in many situations where point identification requires strong (and sometimes untestable) assumptions. Every parameter vector in the set of interest represents a feasible...

Greene (2002, 2004) examines several extensions of the panel stochastic frontier models including what he calls the “true†fixed and random effect stochastic frontier models. In this paper we extend these two models to their semiparametric alternatives where the functional form for...

The aim of the paper is to fulfill the gap for testing hypotheses on parameters of the log-normal stochastic volatility model, more precisely, to propose finite sample exact tests in the sense that the tests have correct levels in small samples. To do this, we examine method-of-moments-based...