Wege und Irrwege der neuen Grundsteuerpläne in Deutschland

Wirtschaftsdienst - Das bisherige Verfahren zur Grundsteuererhebung ist 2018 vom Bundesverfassungsgericht als verfassungswidrig erklärt worden. Seither haben fünf Bundesländer...     

Abschaffung der Abgeltungsteuer — gerechter und steuersystematisch einheitlicher?

There is a rising political discussion in Germany around abolishing the final withholding tax on capital income. The German tax reforms that introduced this tax lowered tax rates, in particular on interest income. According to some authors, the growing inequality of income and property is a strong argument for the higher taxation of capital income. However, other authors argue that the neutrality aspects concerning private investment are inadequate. An abolishment of the final withholding tax would not solve these problems and, moreover, would turn back the achieved improvements. Therefore, the German Council of Economic Experts suggests complementing the previous reforms by introducing an allowance for corporate equity.     

Financial markets and the current account: emerging Europe versus emerging Asia

Financial globalisation has been associated with divergent current account patterns in emerging markets. In this paper we test for the relevance of financial market characteristics in explaining different current account patterns in emerging Europe and emerging Asia. We find that better developed and more integrated financial markets increase emerging markets’ ability to borrow abroad. The degree of financial integration within the convergence clubs as well as the extent of reserve accumulation are found to be the most significant factors to explain divergent current account patterns in emerging Europe and emerging Asia.     

Inflation und Schuldenabbau

The European Central Bank (ECB) recently announced its willingness to do whatever is needed to save the euro. This has raised the question whether such a role of the ECB must lead to higher rates of infl ation. Under current recessive macroeconomic conditions in the eurozone, the ECB’s expansionary monetary policy will not lead to higher infl ation. On the contrary, there is a serious danger of defl ation. Higher infl ation would likely occur only if a permanent stabilisation function were assigned to the ECB. Yet historical examples show that mistakes can be made. During the stagnation in Japan, US economists heavily criticised the Bank of Japan’s timid monetary policy response. But in some sense, current Fed policy seems to be a direct copy of that strategy, caused by uncertainty about the proper communication channel. An infl ation tax could help to bring down the mounting public debt in the wake of the fi nancial crisis, but higher wealth taxes have more transparent distributional effects.     

Services Offshoring and its Impact on Productivity and Employment: Evidence from Germany, 1995–2006

Economists have recently recognised services offshoring as an important influence on domestic labour market outcomes. Services are of particular interest since their significance has grown in terms of both quantity and quality. Only one and a half decades ago, most services were considered non‐tradable, but the emergence and development of new information and communication technologies has made many services internationally tradable. The liberalisation of international trade in services trade has further accelerated the volume of services trade. Our econometric estimations focus on services offshoring by German manufacturing sectors. We use revised input–output data from 1995 to 2006. We first estimate the impact of services offshoring on labour productivity. We then measure the effects of services offshoring on labour demand. The results show that services offshoring increased sectoral labour productivity, but reduced German manufacturing employment. The overall results suggest that labour demand decreased over 1995–2006, because labour‐reducing productivity and substitution effects dominated labour‐augmenting scale effects from services offshoring.     

How social and human capital influence opportunity recognition and resource mobilization in India's handloom industry

Small-scale firms in rural areas play an extremely important role in the development of any country, and especially in developing countries. To understand entrepreneurs who operate in a low-technology industry, we rely on the network perspective on entrepreneurship. In this paper, we investigate how the social and human capital of entrepreneurs (in this case master weavers in the handloom industry) influence their ability to recognize opportunities and mobilize resources. In addition to examining the direct effects, we also explore the possibilities of social capital mediating between human capital, on the one hand, and opportunity recognition and resource mobilization on the other. This paper adds to existing literature in two ways: firstly, we expand the social capital paradigm by including different cultural settings and links to existing studies regarding small enterprises. Secondly, we provide additional evidence to the ongoing debate as to what constitutes a ‘good network’.     

Proportional Odds Models with High‐Dimensional Data Structure

The proportional odds model is the most widely used model when the response has ordered categories. In the case of high‐dimensional predictor structure, the common maximum likelihood approach typically fails when all predictors are included. A boosting technique pomBoost is proposed to fit the model by implicitly selecting the influential predictors. The approach distinguishes between metric and categorical predictors. In the case of categorical predictors, where each predictor relates to a set of parameters, the objective is to select simultaneously all the associated parameters. In addition, the approach distinguishes between nominal and ordinal predictors. In the case of ordinal predictors, the proposed technique uses the ordering of the ordinal predictors by penalizing the difference between the parameters of adjacent categories. The technique has also a provision to consider some mandatory predictors (if any) that must be part of the final sparse model. The performance of the proposed boosting algorithm is evaluated in a simulation study and applications with respect to mean squared error and prediction error. Hit rates and false alarm rates are used to judge the performance of pomBoost for selection of the relevant predictors.