Panel cointegration and the monetary exchange rate model

This paper re-examines the validity of the monetary exchange rate model during the post-Bretton Woods era for 18 OECD countries. Our analysis simultaneously considers the presence of both cross-sectional dependence and multiple structural breaks, which have not received much attention in previous studies of the monetary model. The empirical results indicate that the monetary model emerges only when the presence of structural breaks and cross-country dependence has been taken into account. Evidence is also provided suggesting that the breaks in the monetary model can be derived from the underlying purchasing power parity relation.     

Why is Chinese provincial output diverging?

In a recent paper Pedroni and Yao (2006) present strong evidence suggesting that Chinese provincial per-capita output is diverging, a result that goes against the Chinese government’s goal of a balanced wealth-creation across provinces. This paper provides an in-depth analysis of the reasoning behind this finding. Our main result is that the divergence does exist, even when new data and more advanced methods of analysis are used. We also find that it has both an idiosyncratic and a common component. Hence, the increased per-capita output inequalities observed at the provincial level is due to both province-specific disparities and to disparities between groups of provinces.     

Industry Dynamics in the Swedish Textile and Wearing Apparel Sector

This paper analyses the adjustment process within the Swedish textile and wearing apparel sector and finds results that support the notion of Schumpeters creative destruction. The turnover of plants and jobs seems to improve the industries from within due to an exit (entry) of less (more) productive plants, exit (entry) of old (new) incumbents, a destruction (creation) of less (more) human-capital intensive jobs, and a supply of new products on the world market. The econometric analysis of the probability of exit with plant, firm and industry characteristics supports the idea of a rationalisation from within.     

Economic Growth, Inequality, Democratization, and the Environment

We augment the Stokey (1998) model by allowingagents to differ with respect to environmentalquality and income in order to analyze theimpact of income and environmental inequality,and of democratization on aggregate pollution.We find that the impact of a more equal incomedistribution depends on the degree ofdemocracy. In a complete democracy a more equalincome distribution generates, ceterisparibus, less pollution, which is consistentwith indirect empirical evidence, whereas theopposite is the case if democratic rights arehighly restricted. Furthermore, ademocratization is argued to typically lowerboth the income and the environmental qualityof the median voter. In this case, if, inutility terms, the fall in environmentalquality is worse than the fall in consumptionthe median voter decides to tightenenvironmental legislation so that aggregatepollution decreases.     

Heuristic algorithms for a second-best congestion pricing problem

Designing a congestion pricing scheme involves a number of complex decisions. Focusing on the quantitative parts of a congestion pricing system with link tolls, the problem involves finding the number of toll links, the link toll locations and their corresponding toll level and schedule. In this paper, we develop and evaluate methods for finding the most efficient design for a congestion pricing scheme in a road network model with elastic demand. The design efficiency is measured by the net social surplus, which is computed as the difference between the social surplus and the collection costs (i.e. setup and operational costs) of the congestion pricing system. The problem of finding such a scheme is stated as a combinatorial bi-level optimization problem. At the upper level, we maximize the net social surplus and at the lower level we solve a user equilibrium problem with elastic demand, given the toll locations and toll levels, to simulate the user response. We modify a known heuristic procedure for finding the optimal locations and toll levels given a fixed number of tolls to locate, to find the optimal number of toll facilities as well. A new heuristic procedure, based on repeated solutions of a continuous approximation of the combinatorial problem is also presented. Numerical results for two small test networks are presented. Both methods perform satisfactorily on the two networks. Comparing the two methods, we find that the continuous approximation procedure is the one which shows the best results.     

Another look at Swedish business cycles, 1861–1988

The linearity of nine long Swedish macroeconomic time series, whose business cycle properties were discussed by Englund, Persson, and Svensson (1992), is tested and rejected for all but two. Non-linear (STAR) models are estimated, and their properties are investigated. Business cycle frequency variation does not seem to be constant over time for all series; it is difficult to find a ‘Swedish business cycle’. Pairwise Granger non-causality tests are adapted to the STAR case, and non-causality is tested. The results point at strong temporal interactions and indicate that the functional form (linear or STAR) strongly affects the outcome of these tests. Copyright © 1999 John Wiley & Sons, Ltd.     

A cross-section average-based principal components approach for fixed-T panels

Because of the increased availability of large panel data sets, common factor models have become very popular. The workhorse of the literature is the principal components (PC) method, which is based on an eigen-analysis of the sample covariance matrix of the data. Some of its uses are to estimate the factors and their loadings, to determine the number of factors, and to conduct inference when estimated factors are used in panel regression models. The bulk of the underlying theory that justifies these uses is based on the assumption that both the number of time periods, T, and the number of cross-section units, N, tend to infinity. This is a drawback, because in practice T and N are always finite, which means that the asymptotic approximation can be poor, and there are plenty of simulation results that confirm this. In the current paper, we focus on the typical micro panel where only N is large and T is finite and potentially very small—a scenario that has not received much attention in the PC literature. A version of PC is proposed, henceforth referred to as cross-section average-based PC (CPC), whereby the eigen-analysis is performed on the covariance matrix of the cross-section averaged data as opposed to on the covariance matrix of the raw data as in original PC. The averaging attenuates the idiosyncratic noise, and this is the reason why in CPC T can be fixed. Mirroring the development in the PC literature, the new method is used to estimate the factors and their average loadings, to determine the number of factors, and to estimate factor-augmented regressions, leading to a complete CPC-based toolbox. The relevant theory is established, and is evaluated using Monte Carlo simulations.     

Does Employee Body Weight Affect Employers' Behavior?

In this paper, we study the possible segregation of overweight individuals already established in the labor market when firms make decisions on hiring, firing, and promoting. Most existing studies use wage equations to document wage differences, but little is known about the reason for the differences and the sorting of workers. Using an equilibrium search model, search frictions are taken into account. Additionally, sorting is examined using a logit model. We find that wage differences between workers who have a normal weight and workers who are overweight or obese can be explained by differential firm behavior, with respect to both the job‐offer arrival rate and the probability of being promoted.     

Contrarians or momentum chasers? Individual investors’ behavior when trading exchange-traded funds

Conducting the first study of momentum impact on households’ exchange-traded fund (ETF) trading behavior, we find that Finnish households are less contrarian when trading benchmark index ETFs than when trading common stocks. Also, their propensity to chase recent positive momentum is higher when purchasing ETFs than when purchasing stocks. As expected, results are stronger for ETF purchases than sales. Our findings are consistent with hypotheses that households are less overconfident trading index ETFs than common stocks, that contrarian behavior is more often rational when trading stocks than when trading ETFs, and that households trade ETFs for the long run.