Testing for Panel Cointegration with Multiple Structural Breaks*

This paper proposes a Lagrange multiplier (LM) test for the null hypothesis of cointegration that allows for the possibility of multiple structural breaks in both the level and trend of a cointegrated panel regression. The test is general enough to allow for endogenous regressors, serial correlation and an unknown number of breaks that may be located at different dates for different individuals. We derive the limiting distribution of the test and conduct a small Monte Carlo study to investigate its finite sample properties. In our empirical application to the solvency of the current account, we find evidence of cointegration between saving and investment once a level break is accommodated.     

Japan Section News

Huge variations in expenditure per life saved have been documented in the USA, Sweden, and Japan. Using an original-position argument, this paper examines normative rationales that might permit departures from equalization of marginal lifesaving investments. The conclusion is that adjustment for identifiability, as reflected in strict benefit-cost analysis, is not justified yet adjustments for consideration of longevity, quality of life and productivity are compelling. It is less clear as to whether factors such as ability to pay, voluntariness and catastrophic potential should influence lifesaving expenditures.     

Household Choice of Drinking–Water Source in the Philippines

The present paper analyzes household choice of drinking–water source for 769 rural households in metropolitan Cebu, Philippines. The study aims to analyze the effects of input prices, tastes and household size on the choice probabilities. For the empirical analysis, a discrete–choice approach is employed, consistent with utility maximization. The findings indicate that the time cost is an important determinant of household choice of drinking–water source and, surprisingly, that taste, proxied by income, has ambiguous effects on household choice. The present study is contrasted to an earlier study in which inconsistency with utility maximization cannot be ruled out.     

SCOR template—A simulation based dynamic supply chain analysis tool

The supply chain operations reference model model (SCOR) is developed and maintained by the Supply Chain Council (SCC). The SCOR model is a reference model that can be used to map, benchmark, and improve supply chain operations. SCOR template is a simulation based analysis tool, developed to capture the dynamics of supply chain operations. The first version of the SCOR template was presented in a previous article by Persson and Araldi (2009). Since the finalisation of the first article concerning the SCOR template, a second version of the SCOR template has been constructed and tested in at a case company; Alfa Laval at Ronneby, Sweden—a manufacturer of heat exchangers. Version 2 of the SCOR template is more complete than the previous version. More metrics were introduced and the return processes included. Emphasis has been on making supply chain analysis simple with the introduction of a new building block—the metric module. The case study at Alfa Laval has been based on data from a value stream mapping (VSM) and aimed at comparing different scenarios in the production networks for one specific product. The results of the comparison are one of the pieces of data that the company managers will use when deciding where to allocate production resources in the international production network.     

苹果、蜜蜂与合同:正溢出效应下的科斯-张定理

本文通过经济的“核”分析，以形式化的方式研究了科斯-张定理。特别地，本文说明了在某些条件下，德布鲁-斯卡夫的核收缩定理可应用于有正生产溢出效应的经济中。     

Markups and export-pricing strategies

We analyze empirically export-price strategies across export destinations using detailed firm-product data. Most recent studies using disaggregated data to investigate why firms charge different prices for the same product on different markets focus on the cost component of prices and neglect the markup component. In this paper, we concentrate on the markup component and examine how variations in firms’ export prices may reflect price discrimination by comparing the markup of firms with different pricing strategies. We make use of detailed firm-level data for exporting firms in the Swedish food sector consisting of both manufacturing and intermediary trading firms. The paper documents the export-price variations within the two sub-sectors and explores how different price strategies correlate with markups. The results offer new information beyond the fact that exporters tend to have a higher markup. In particular, we find that firms in the food-processing sector with a greater ability to discriminate across markets mark their products up even more. This result points to the importance of underlying firm decisions in order to explain differences in export premiums across firms. In addition, the results reveal that markups are a complex function of firm and destination characteristics, and that the relationship between markups and pricing strategies in the manufacturing sector is not necessarily observed in other sectors of the supply chain.     

Farmland prices, structural breaks and panel data

Previous time series evidence has indicated that farmland pricesand cash rents are not cointegrated, a finding at odds withthe present value model of farmland prices. We argue that thisfailure to find cointegration may be due to low power of testsand to the presence of structural change representing a shiftingrisk premium on farmland investments. To accommodate this possibility,we use panel unit root and cointegration methods that are morepowerful than conventional time series methods and allow forbreaks in the cointegration relationship. Our results, basedon a large panel covering 31 US states between 1960 and 2000,suggest that the present value model of farmland prices cannotbe rejected.     

A simple test for nonstationarity in mixed panels with incidental trends

Ng (2008) shows how the cross-sectional variance of the observed panel data can be used to construct a simple test for the proportion of non-stationary units. However, in the case with incidental trends the test is distorted. The present note shows how the distortions can be substantially reduced by the use of bias-adjustment. It also investigates the local power of the bias-adjusted test, which is shown to suffer from the same incidental trends problem previously only documented for conventional t$t$-tests.     

Entrepreneurial innovations,competition and competition policy

We construct a model where an entrepreneur can innovate for entry or for sale. It is shown that increased product market competition tends to increase the relative profitability of innovation for sale. Increased competition not only reduces the profits of entrants and the acquirer of the inventions in a similar fashion, but also reduces the profit of non-acquirers. Therefore, incumbents' valuations of innovations are less negatively affected by increased competition, and the incentive for innovation for sale can increase with increased competition. Moreover, a stricter, but not too strict, merger policy is shown to increase the incentive for innovations for sale by ensuring the bidding competition for the innovation.     

CCE in fixed‐T panels

The presence of unobserved heterogeneity and its likely detrimental effect on inference has recently motivated the use of factor‐augmented panel regression models. The workhorse of this literature is based on first estimating the unknown factors using the cross‐section averages of the observables, and then applying ordinary least squares conditional on the first‐step factor estimates. This is the common correlated effects (CCE) approach, the existing asymptotic theory for which is based on the requirement that both the number of time series observations, T, and the number of cross‐section units, N, tend to infinity. The obvious implication of this theory for empirical work is that both N and T should be large, which means that CCE is impossible for the typical micro panel where only N is large. In the current paper, we put the existing CCE theory and its implications to a test. This is done by developing a new theory that enables T to be fixed. The results show that many of the previously derived large‐T results hold even if T is fixed. In particular, the pooled CCE estimator is still consistent and asymptotically normal, which means that CCE is more applicable than previously thought. In fact, not only do we allow T to be fixed, but the conditions placed on the time series properties of the factors and idiosyncratic errors are also much more general than those considered previously.