The Hausman (1978) test is based on the vector of differences of two estimators. It is usually assumed that one of the estimators is fully efficient, since this simplifies calculation of the test statistic. However, this assumption limits the applicability of the test, since widely used estimators such as the generalized method of moments (GMM) or quasi maximum likelihood (QML) are often not fu...

Previously, we have employed a program (Jtest) to test an hypothesis involving many parameters (multiple constraints). This test, which involves comparing parameter estimates with hypothesized values, is known as a Wald test. We also used the Jtest program to compare two di¤erent estimators in a Hausman test. There is an alternative method for conducting joint tests, which can be implemented ea...

This study examines the role of foreign direct investment (FDI) on growth, making a comparison between selected countries of Africa and Asia. We utilized data for 30 countries 2009. The Hausman among OLS, fixed effect and random effect models. First, aggregate data and later disaggregated the data in assess the regional impact of FDI on ec that FDI has positive relationship with GDP growth also...

Controlling wildfire suppression expenditures has become a major public policy concern in the United States. However, most policy remedies have focused on the biophysical determinants of suppression costs: fuel loads and weather, for example. We show that two non-biophysical variables—newspaper coverage and political pressure—have a significant effect on wildfire suppression costs. Hausman test...

This study investigates the time series beaviour of daily stock returns of four firms listed in the Nigerian StockMarket from 2nd January, 2002 to 31st December, 2006, using three different models of heteroscedastic processes, namely: GARCH (1,1), EGARCH (1,1) and GJR-GARCHmodels respectively. The four firms whose share prices were used in this analysis are UBA, Unilever, Guiness and Mobil. All...

background determinants of health or health production function in health economics literature constitute noticeable issues in health promotion. this study aimed at estimating a health production function for east mediterranean region (emr) based on the grossman theoretical model.   methods this ecological study was performed using the econometric methods. the panel data model was used in order...

Many researchers have addressed concerns of omitted variable bias in hedonic price models through the use of spatial fixed effects. We argue that this approach does not consider the biases introduced by effects that overlap the zone of capitalization for the non-market good. We show this bias can dominate the usual omitted variable bias using data on developer-provided open space. We control fo...

Modern, high dimensional data has renewed investigation on instrumental variables (IV) analysis, primary focusing on estimation of the included endogenous variable under sparsity and little attention towards specification tests. This paper studies in high dimensions the Durbin-Wu-Hausman (DWH) test, a popular specification test for endogeneity in IV regression. We show, surprisingly, that the D...

Exact consumers surplus and deadweight loss are the most widely used welfare and economic efficiency measures. These measures can be computed from demand functions in straightforward ways. Nonparametric estimation can be used to estimate the welfare measures. In doing so it seems important to account correctly for unobserved heteroeneity given the high degree of unexplained demand variation oft...

Extending the work by Hausman and Wise (1979), Ridder (1992), Wooldridge (1995) and Ryu (2001), this paper proposes a new and simpler way of accounting for attrition in unbalanced panel data. Cross-sectional units are dissipated over time, possibly in a nonrandom fashion, thus negating the initial randomization. The key element of the current approach is to model the attrition process jointly w...