This paper discusses inference about the pre and post break value of a scalar parameter in GMM time series models with a single break at an unknown point in time. We show that treating the break date estimated by least squares as the true break date leads to substantially oversized tests and confidence intervals unless the break is large. We develop an alternative test that controls size unifor...

We develop a selective entry model for first-price auctions that nests several models earlier proposed in the literature, and features a pro-competitive selection effect. The selection effect is shown to be nonparametrically identifiable, and a nonparametric test for its presence is proposed. In the empirical application to highway procurement, we find that the selection effect overwhelms the a...

We show that the quantile regression estimator is consistent and asymptotically normal when the error terms are correlated within clusters but independent across clusters. A consistent estimator of the covariance matrix of the asymptotic distribution is provided and we propose a specification test capable of detecting the presence of intra-cluster correlation. A small simulation study illustrat...

This paper proposes a simple direct testing procedure to distinguish a linear unit root process from a globally stationary three-regime self-exciting threshold autoregressive process. We derive the asymptotic null distribution of the Wald statistic, and show that it does not depend on unknown fixed threshold values. Monte Carlo evidence clearly indicates that the exponential average of the Wald...

In this paper, we examine the specification tests which have been proposed for fixed effects in binary panel data model, using several different data generating processes to evaluate the performance of the specification test in different situations. By simulations, we find the specification test based on moment conditions is able to outperform the Lagrange multiplier test proposed by Gurmu (199...

We examine in this article the power of the tests of Robinson (1994) for testing I(d) statistical models in the presence of moving average (MA) disturbances. The results show that the tests behave relatively well if we correctly assume that the disturbances are MA. However, assuming white noise or autoregressive disturbances, the power of the tests against one-sided alternatives is very low. JE...

abstract oil export revenues have a major share in both iranian government incomes and gross domestic product (gdp). with regard to the importance of agricultural sector in economic growth, rural development and rural welfare improvement, this sector indubitably influenced by temporary and unexpected shocks in oil export. therefore we employed feder(1982) and auto-regressive distributed lag (ar...

Economists have recently adopted pre-analysis plans in response to concerns about robustness and transparency research. The increased use of registered has raised competing that detailed are costly create, overly restrictive, limit the type inspiration stems from exploratory analysis. We consider these views plans, make a careful distinction between roles registries, which provide record all pl...

s teel industries play a key role in the national economy and welfare of the society in many steel manufacturer countries. it is found that manufacturing and consuming of steel products would be a key indicator to measure and evaluate economic and industrial performance of a country. nowadays, countries with the large natural oil and gas resources (e.g. iran) attempt to select an alternative ec...

We consider a set of linear regression models that differ in their choice of regressors, and derive a method for inference that controls for the set of models under investigation. The method is based around an estimate of the distribution for a class of statistics, which can depend on two or more models. An example is the largest R2 over a set of regression models. The distribution will typical...