Live or Let Die? Alternative Routes to Industry Exit

Each year around 8% of Swedish manufacturing firms leave an industry. Of the exit routes available, the least likely is firm closure. Firms are more likely to merge, become acquired or switch to a new industry. We investigate the importance of a range of firm and industry characteristics for the exit decision of Swedish firms from 1980–1996. From our analysis two patterns are evident. First, firms that close down appear to be the most distinct compared to those that remain within the sector. Second the same characteristics can have quite different associations with different exit strategies.

Are state–local government expenditures converging? New evidence based on sequential unit root tests

Large and persistent gaps in subnational public expenditure have important implications regarding growth, equity, and migration. In this context, we revisit the question of expenditure convergence across the American states to provide more nuanced evidence than found by a small number of previous studies. We employ a methodology due to Smeekes (Bootstrap sequential tests to determine the stationary units in a panel, 2011) that sequentially tests for unit roots in pairwise (real per capita) expenditure gaps based on user specified fractions. In a panel of 48 combined state–local government units (1957–2008), we found that expenditures on highways, sanitation, utility, and education were far more convergent than expenditures on health and hospitals, police and fire protection, and public welfare. There was little evidence of “club convergence” based on the proportion of intraregional convergent pairs. Several historically high-grant receiving states showed relatively strong evidence of convergence. Our results bode well for future output convergence and opportunities for Tiebout-type migration across jurisdictions. They also imply a diminished role for public infrastructure and education spending in business location choices over time and a mixed role for federal grants in inducing convergence.     

Testing for Predictability in panels with General Predictors

The difficulty of predicting returns has recently motivated researchers to start looking for tests that are either more powerful or robust to more features of the data. Unfortunately, the way that these tests work typically involves trading robustness for power or vice versa. The current paper takes this as its starting point to develop a new panel‐based approach to predictability that is both robust and powerful. Specifically, while the panel route to increased power is not new, the way in which the cross‐section variation is exploited also to achieve robustness with respect to the predictor is. The result is two new tests that enable asymptotically standard normal and chi‐squared inference across a wide range of empirically relevant scenarios in which the predictor may be stationary, moderately non‐stationary, nearly non‐stationary, or indeed unit root non‐stationary. The type of cross‐section dependence that can be permitted in the predictor is also very general, and can be weak or strong, although we do require that the cross‐section dependence in the regression errors is of the strong form. What is more, this generality comes at no cost in terms of complicated test construction. The new tests are therefore very user‐friendly. Copyright © 2016 John Wiley & Sons, Ltd.     

Testing for Convergence in Carbon Dioxide Emissions Using a Century of Panel Data

This paper tests the convergence in per-capita carbon dioxide emissions for a collection of developed and developing countries using data spanning the period 1870–2002. For this purpose, three recently developed panel unit root tests that permit for dependence among the individual countries are employed. The results lend strong support in favor of convergence for the panel as a whole. Estimates of the speed of this convergence is also provided.      

Exporting May Not Always Boost Firm Productivity

A large empirical literature suggests the performance characteristics of firms that export are different from firms that do not. Specifically, exporters tend to be larger, more productive and pay higher wages than non-exporters. This paper reports on an econometric analysis of the characteristics of exporters and non-exporters in Swedish manufacturing industry. We use matching and difference-in-differences analysis to investigate a panel data set on a large number of firms and spanning almost 20 years. Some of our results echo those reported elsewhere. However, in contrast to the findings for every other country analysed so far, we find that the performance characteristics of exporters and non-exporters are remarkably similar. In particular, we find no evidence of pre- or post-entry differences in firm level productivity. This is a striking outcome, probably driven by the extremely high openness of the Swedish economy. JEL no. F14     

Managing the front-end phase of process innovation under conditions of high uncertainty

Using a fuzzy-set qualitative comparison analysis, we identify and examine key conditions for success in early front-end phases of process innovation projects. We focus on the very initial stage of the innovation process—the front-end phase—and a selection of conditions for managing highly uncertain process innovation projects. In high-uncertainty projects coupled with high levels of equivocality, formalizing roles and processes should be consistently avoided; however, idea screening is beneficial. Moreover, in successful innovation projects formalized processes but not formalized roles are beneficial. The findings suggest that formalizing roles and processes, a success factor in prior studies of innovation, does not result in success of process innovation projects.     

A note on the use of the LLC panel unit root test

One of the single most cited studies within the field of nonstationary panel data analysis is that of LLC (Levin et al. in J Econom 98:1–24, 2002), in which the authors propose a test for a common unit root in the panel. Using both theoretical arguments and simulation evidence, we show that this test can be misleading unless it is based on the same bandwidth selection rule used by LLC.     

Panel cointegration tests of the Fisher effect

Most empirical evidence suggests that the Fisher effect, stating that inflation and nominal interest rates should cointegrate with a unit slope on inflation, does not hold, a finding at odds with many theoretical models. This paper argues that these results can be attributed in part to the low power of univariate tests, and that the use of panel data can generate more powerful tests. For this purpose, we propose two new panel cointegration tests that can be applied under very general conditions, and that are shown by simulation to be more powerful than other existing tests. These tests are applied to a panel of quarterly data covering 20 OECD countries between 1980 and 2004. The evidence suggest that the Fisher effect cannot be rejected once the panel evidence on cointegration has been taken into account. Copyright © 2007 John Wiley & Sons, Ltd.