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This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is not an endorsement of the fixed effects estimator as is done in practice. Non-rejection of the null provides support for the random effects estimator which is efficient under the null. The chapter offers practical tips on what to do in case the null is rejected including checking for endogeneity of the regressors, misspecified dynamics, and applying a nonparametric Hausman test, see Amini, Delgado, Henderson, and Parmeter (2012, chapter 16). Alternatively, for the fixed effects die hard, the chapter suggests testing the fixed effects restrictions before adopting this estimator. The chapter also recommends a pretest estimator that is based on an additional Hausman test based on the difference between the Hausman and Taylor estimator and the fixed effects estimator.

Purpose – This chapter considers a Hausman and Taylor (1981) panel data model that exhibits a Cliff and Ord (1973) spatial error structure.

Methodology/approach – We analyze the small sample properties of a generalized moments estimation approach for that model. This spatial Hausman–Taylor estimator allows for endogeneity of the time-varying and time-invariant variables with the individual effects. For this model, the spatial fixed effects estimator is known to be consistent, but its disadvantage is that it wipes out the effects of time-invariant variables which are important for most empirical studies.

Findings – Monte Carlo results show that the spatial Hausman–Taylor estimator performs well in small samples.

This chapter suggests a robust Hausman and Taylor (1981), hereafter HT, estimator that deals with the possible presence of outliers. This entails two modifications of the classical HT estimator. The first modification uses the Bramati and Croux (2007) robust Within MS estimator instead of the Within estimator in the first stage of the HT estimator. The second modification uses the robust Wagenvoort and Waldmann (2002) two-stage generalized MS estimator instead of the 2SLS estimator in the second step of the HT estimator. Monte Carlo simulations show that, in the presence of vertical outliers or bad leverage points, the robust HT estimator yields large gains in MSE as compared to its classical Hausman–Taylor counterpart. We illustrate this robust version of the HT estimator using an empirical application.

Debt burdens have risen for US households over the last several decades. As a result, several studies have investigated potential ethnic and gender differences in these debt burdens, along with the risks they pose. However, such estimations can be biased without correctly controlling for individual unobserved heterogeneity, and standard methods to deal with this, such as fixed effects, remove any time-invariant variables from the analysis. In this paper, I use the Hausman–Taylor (HT) estimator to estimate the relationship between these time-invariant demographics and debt burdens, allowing for potential correlation between some variables and the unobserved heterogeneity. I also consider some guidelines in determining the appropriateness of the HT estimation, both in terms of exogeneity assumptions as well as potential problems due to weak instruments. Using data from the National Longitudinal Survey of Youth 1979, the resulting estimates differ substantially from those of a typical random effects GLS estimator. In particular, the HT results find that after controlling for other variables, women are more likely to take on debt, especially nonhousing debt, but those who do take on debt tend to take on a lower amount than their male counterparts. No differences are found for black or Hispanic individuals with regard to the amount of debt, though black individuals are found to be slightly less likely to have debt.

This study aims to empirically explore whether there is causality and in which direction, i.e. whether financial development generates economic growth or whether financial development merely follows economic growth in transition European countries, including Russian Federation and Turkey, during 1998-2015.

The study uses different techniques such as pooled OLS, fixed and random effects and the Hausman–Taylor model with instrumental variables.

The regression results show a positive relationship between financial development indicators and real GDP per capita growth, thus supporting the hypothesis that finance leads economic growth. The result also shows that financial crisis has a negative effect on real GDP per capita growth. Furthermore, these findings show that government spending and inflation have a negative impact on real GDP per capita growth. The study also shows that financial development plays growth-supporting role in real GDP per capita growth in 20 European countries in transition, including Russian Federation and Turkey.

As financial development generates real GDP per capita growth, on the basis of the results of the study, a course of action that involves institutional improvement and incentivizing competition in the financial sector is recommended to the Central Banks’ policymakers in transition economies. These will in turn lead to higher real GDP per capita growth.

The study is original in nature and makes effort to promote financial development in transition European countries, including Russian Federation and Turkey. The findings of this study will be of value to Central Banks and other policymakers.

One of the major contributions of the literature on human capital has been to demonstrate the role of schooling as a determinant of wages. However, the exact size of the effect on wages and how it should be estimated remain a source of both theoretical and empirical debate. This paper seeks to provide empirical evidence on the returns to education for the Spanish labor market.

The paper uses the instrumental variable approach proposed by Hausman and Taylor to assess the direction and size of the bias that affects standard OLS estimation, when some of the wage determinants are endogenous.

The results suggest that the returns to schooling are substantially higher once endogeneity is taken into account, rising from around 6 percent for each additional year of schooling to about 12 percent when the effect is estimated via instrumental variables. This is in line with research for other countries. Evidence is also found of endogeneity in the effect of job seniority, although in the opposite direction. That is, the Hausman and Taylor model finds little effect of seniority on wages, whereas OLS estimates suggest a larger effect.

Further research is needed to reconcile these results (downwards bias in the OLS estimate of the returns to schooling) with the theoretical notion of an upwards bias caused by the correlation between unobservable ability, wages and schooling.

The paper adds new evidence on wage determinants for the Spanish labor market and does so for men and women using alternative estimation procedures.

This paper appraises the effects of monetary policy on trade in value-added (TiVA) using a panel of 38 developing countries spanning the period 1990 to 2019. Specifically, the authors subsequently summon the theory of trade in intermediate products within the New Keynesian framework for open economies that comprises price rigidity to verify this relationship and thereon control for robustness by correcting for endogeneity and unbalanced panel effect.

The authors mobilize the within estimator corrected for cross sectional dependence as well as the two-stage-least squares fixed effect estimator which corrects for endogeneity. For robustness, the authors also use the Hausman–Taylor estimator to control for endogeneity and random effects in annualized data and the least squares dummy variable corrected estimator.

Results suggest that the monetary policy instruments such as inflationary gaps and anticipatory inflationary outcomes significantly affect TiVA in developing countries only in the short term with no long-term effect. In addition to contributing to the scanty empirical literature, the authors provide relevant insights on monetary policy tools that can be mobilized in fashioning a global value chain penetration and upgrading strategies.

The authors convoke the theory of trade in intermediate products casted into the New Keynesian framework comprising price rigidity to verify the relationship between TiVA and monetary policy (b) verify for robustness by correcting for endogeneity and unbalanced panel effect.

This study examines the effect of public debt on the economic growth of OECD countries by disentangling the effect into permanent and transitory components. The study covers 37 OECD countries.

The Mundlak decomposition was employed to decompose the effect of public debt into its transitory and permanent effect on economic growth. To account for potential endogeneity problem, the Hausman and Taylor estimator was employed to estimate the decomposed model. Further, the study disaggregated the OECD model into country group models for further analysis of the dynamics of the relationship between the variables.

The findings of the study reveal that in the full OECD model public debt exerts a significant negative permanent and positive transitory effect on economic growth. This was robust to alternative model specifications. The magnitude of the negative permanent effect of debt was found to be larger than the positive transitory effect. Further, the estimates of the disaggregated models reveal that though public debt has a negative permanent effect across all the country groups, it was not the case for the transitory effect of debt. Also, a net public debt model was estimated, and its effect on public debt was found to be largely insignificant, exhibiting a Ricardian-like behaviour.

To the best of our knowledge, this is the first study, particularly in the OECD context that employed the Mundlak transformation to examine the permanent versus transitory effect of public debt on economic growth.

The purpose of this paper is to empirically examine the macroeconomic determinants of Port wine exports, taking into account the diversity and various quality levels associated with this product.

Port wine is a fortified wine only produced in Portugal. In the period 2006-2014, an extended gravity model is applied to data on the exports of the top 20 importing countries, accounting for 94 per cent of total exports. The authors base their empirical strategy on the Hausman–Taylor estimator (1971), overcoming endogeneity and accounting for time invariant variables. They estimate the impact of several factors on the total trade of Port wine, namely: gross domestic product (GDP), GDP per capita, tariffs, exchange rates, distance from original supplier, mutual language familiarity, landlockedness, wine consumption per capita and presence of Portuguese emigrants, all measured in volume and value terms, and for each of the four categories (Standard, High Standard, Vintage and Aged).

The findings show that the quantity and value of total Port wine exports are positively determined by overall GDP per capita, the presence of a Portuguese emigrant community (which implies that to some degree a common language and culture are shared), while exports are negatively influenced by landlockedness. In contrast to the traditional gravity model, distance from the source of supply does not appear to be a significant determinant, a fact explained by the specific and singular nature of Port wine and by the long tradition of this product in international markets. In addition, the results revealed specific determinants for specific product categories – such as GDP for aged Port and wine consumption per capita for high standard, vintage and aged Port, suggesting that Portugal needs to increase its exports of high-quality Port wine to markets that exhibit a tendency towards increased wine consumption per capita and are coming to be considered large and fast-growing economies.

This paper extends the literature, by respecifying the typical gravity model for aggregate goods to permit the analysis of wine exports. There has been relatively little application of this model to assess the determinants of the wine trade, and when it has been used, generally it has been in studies focusing on aggregate wine trade between countries. This paper seeks to fill this gap by focusing on the determinants of exports of a specific wine – Port wine, which is an internationally recognised product, with a clear internal product differentiation according to distinct quality levels – and in this regard provides new insights into the international patterns of trade in wine.

Field experiments have raised important issues of interpretation of bargaining behavior. There is evidence that bargaining behavior appears to vary across groups of populations, such as nationality, ethnicity and sex. Differences have been observed with respect to initial behavior and with respect to the adjustment pattern over time. Often, such behavioral differences are referred to as cultural, although the delineation of the cultural group has been confined to one or other observable characteristic in isolation. We show that this way of characterizing cultural differences is overly simplistic: at best, it leads to unreliable claims; at worst, it leads to erroneous conclusions. We reconsider the evidence provided by previous experiments using ultimatum game rules, and undertake new experiments that expand the controls for demographics. The lesson from our demonstration is that the task of designing experiments for the field offers many challenges if one wants to define and control for cultural impacts, but that field experiments also offer potential for providing new insights into these issues.