The World Is Not Enough! Small Open Economies and Regional Dependence

In this paper, we explicitly introduce regional factors into a global dynamic factor model. We combine new open economy factor models (emphasizing global shocks) with the recent findings of regional importance in the business cycle synchronization literature. The analysis is applied to a large panel of domestic data for four small open economies. We find that global and regional shocks explain roughly 30 and 20 percent, respectively, of the business cycle variation in all countries. While global shocks have most impact on trade variables, regional shocks explain a relatively large share of the variation in cost variables.     

Free Trade versus Autarky under Asymmetric Cournot Oligopoly

The paper compares free trade with autarky in an asymmetric multi‐country world under Cournot competition with constant returns to scale and linear demand. We derive respective conditions under which free trade will hurt a country's consumers, benefit its firms, induce it to export, increase its output and raise its welfare. We show that these conditions are linked in a clear order, with one implying the next. We further demonstrate that free trade can reduce world total output and total consumer surplus as well as world welfare. Along the way, we correct several oversights in the literature.     

Do people gamble more in good times? Evidence from 27 European countries

We provide evidence of a positive relationship between the intensity of gambling and economic growth in 27 European countries for 2005–2013. Our proxy for gambling is represented by government revenues from taxes on lotteries, betting and gambling. This variable is linked to GDP growth in a panel regression framework and pooled OLS. However, when we split our sample to account for the heterogeneity among European countries, we found that the positive ‘gambling – GDP growth’ relationship is driven extensively by the Central and Eastern European countries. It appears that people in these countries tend to gamble more when the economy is expanding.     

Output‐based rebating of carbon taxes in a neighbour's backyard: Competitiveness,leakage and welfare

We investigate how, in an open economy, carbon taxes combined with output‐based rebating (OBR) perform in interaction with the carbon policies of a large neighbouring trading partner. Analytical results suggest that, whether the purpose of the OBR policy is to compensate firms for carbon tax burdens or to maximize welfare (accounting for global emission reductions), the OBR rate should be positive in policy‐relevant cases. Numerical simulations for Canada, with the US as the neighbouring trading partner, indicate that the impact of US policies on the OBR rate will depend crucially on the purpose of the Canadian OBR policies. If, for a given US carbon policy, Canada's aim is to restore the competitiveness of domestic emission‐intensive and trade‐exposed (EITE) firms to the same level as before the introduction of its own carbon taxation, we find that the necessary domestic OBR rates will be insensitive to the foreign carbon policies. However, if not only the Canadian carbon tax but also an equally high US tax is introduced, compensatory Canadian OBR rates will be up to 50% lower, depending on the sector and on US OBR policy. If the policy objective is to increase economy‐wide allocative efficiency (welfare) of Canadian policies by accounting for carbon leakage, the US policies will have only a minor downward pressure on desirable OBR rates in Canada. Practical choices of OBR rates hardly affect overall domestic economic performance; thus, output‐based rebating qualifies as an instrument for compensating EITE industries without a large sacrifice in terms of economy‐wide allocative efficiency.     

Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment in Germany

This paper explores farmers’ willingness to adopt genetically modified (GM) oilseed rape prior to its commercial release and estimates the ‘demand’ for the new technology. The analysis is based upon choice experiments with 202 German arable farmers. A multinomial probit estimation reveals that GM attributes such as gross margin, expected liability from cross pollination, or flexibility in returning to conventional oilseed rape significantly affect the likelihood of adoption. Neighbouring farmers’ attitudes towards GM cropping and a number of farmer and farm characteristics were also found to be significant determinants of prospective adoption. Demand simulations suggest that adoption rates are very sensitive to the profit difference between GM and non‐GM rape varieties. A monopolistic seed price would substantially reduce demand for the new technology. A monopolistic seed supplier would reap between 45% and 80% of the GM rent, and the deadweight loss of the monopoly would range between 15% and 30% of that rent. The remaining rent for farmers may be too small to outweigh possible producer price discounts resulting from the costs of segregating GM and non‐GM oilseed rape along the supply chain.     

Business climate as a leading indicator? An empirical investigation for west Germany from 1978 to 1990

For twenty-five years now, the leading indicator “Business Climate” of the Ifo Institute has been applied in the Federal Republic of Germany. The intent of this note is to provide answers to two questions by means of econometric methods. The first question is: Is the business climate really a leading indicator? The second question is: How much time is the indicator ahead? For verification and in order to respond to both questions, the Granger causality test is used in the version of Hsiao.     

Ein empirischer Test der Annahme der permanenten Einkommenshypothese von Milton Friedman

Summary We apply the Variate-Difference-Method to yearly Austrian data from 1956 to 1975 to test the permanent-income-hypothesis byM. Fiedman.First we determe the degree of the polynomial, which is sufficient to eliminate the trend (i.e. the permanent part) from time series of disposable income. Then the permanent income variable is constructed in two alternative ways: first, as a polynomial in time and second bySheppard's smoothing formulae. Transitory consumption is identified with the residuals of the consumption function. A correlation analysis shows that, transitory income and consumption are correlated, if permanent income is determined by a trend polynomial, while this is not the case ifSheppard's smoothing formulae is used to estimate permanent income.Consumption functions are specified for total consumption, durables and non-durables and eleven sub-groups of total private consumption. The results indicate that autocorrelation can considerably be reduced by usingSheppard's smoothing formulae.     

Zipf's Law for Cities and Beyond: The Case of Denmark

Zipf's law for cities is one of the most conspicuous and robust empirical facts in the social sciences. It says that for most countries, the size distribution of cities must fit the power law: the number of cities with populations greater than S is inversely proportional to S. The present paper answers three questions related to Zipf's law: (1) does the Danish case refute Zipf's law for cities?, (2) what are the implications of Zipf's law for models of local growth?, and (3) do we have a Zipf's law for firms? Based on empirical data on the 61 largest Danish cities for year 2000, the answer to (1) is NO—the Danish case is not the exception which refutes Zipf's law. The consideration of (2) then leads to an empirical test of (3). The question of the existence of Zipf's law for firms is tested on a sample of 14,541 Danish production companies (the total population for 1997 with 10 employees or more). Based on the empirical evidence, the answer to (3) is YES in the sense that the growth pattern of Danish production companies follows a clean rank‐size distribution consistent with Zipf's law.     

Uncertain Climate Change in an Intergenerational Planning Model

A three-generation planning model incorporating uncertain climate change is developed. Each generation features a production activity based on capital and an exhaustible resource. An irreversible climate change may occur in period two or three, reducing the productivity for this and the remaining generation. The model is solved by stochastic dynamic programming. If the climate impact and climate change probability is constant, the optimal period one (and two) resource extraction is larger than for the reference case of climate stability. If, however, climate impact and climate change probability increases with increased aggregate resource use, this result is reversed.