This paper introduces a Lagrange Multiplier (LM) test for testing an autoregressive structure in a binary time series model proposed by Kauppi and Saikkonen (2008). Simulation results indicate that the two versions of the proposed LM test have reasonable size and power properties when the sample...

This paper investigates if the recursive detrending method that works well for linear unit root tests also provides good outcomes for nonlinear unit root tests. It is found that the method improves the power of the nonlinear test when only a non-trending mean needs to be removed. The test,...

In applied research, the Schwarz Bayesian Information Criterion (BIC) and the F-test might yield different inferences about the causal relationships being investigated. This paper examines the relationship between the BIC and the F-tests in the context of Granger-causality tests. We calculate...

We prove the strong consistency, uniformly in the bandwidth, of the smooth varying coefficient conditional least squares estimator. Our results justify data-driven choices of bandwidths, such as Silverman's rule-of thumb, or standard cross-validation, that are usually implemented by most...

We derive the variance of the Hirano, Imbens and Ridder (Econometrica 66, 315--31, 2003) average treatment effects estimator when the true propensity score is known. This variance is used in the derivation of the variance of a similar two-step estimator, where a M-estimator is used in the first...

The seminal analysis of Enders and Granger (1998) is extended to examine the properties of asymmetric unit root tests when the nature of the actual asymmetric adjustment process underlying the observed data is unknown. The analysis is further extended by considering joint testing for asymmetric...

The finite-sample properties of threshold autoregressive cointegration tests are examined in the presence of structural changes in cointegrating relationships. It is shown that spurious asymmetric cointegration may be exhibited when there is a change in the degree of cointegration between two...

Monte Carlo simulations are used to study the size and power properties of two stationarity tests developed by Kwiatkowski et al. (1992) [KPSS] and Leybourne and McCabe (1994) [LMC] when the data contain additive outliers. We show that the KPSS tests are very robust to additive outliers whereas...

Using efficient Monte Carlo methods, the performance of two-step Generalized Least Squares (GLS) estimators for the one-way error components models in small samples is analyzed. In our approach, we focus on the two-step GLS estimators provided by the programs LIMDEP, RATS and TSP, which mainly...

Using Monte Carlo methods, the behaviour of the momentum threshold autoregressive (MTAR) unit root test of Enders and Granger (1998) is examined in the presence of structural breaks under the null. It is found that for level breaks the MTAR test exhibits similar behaviour to that derived by...