Conventional Phillips-curve models that are used to estimate the output gap detect a substantial decline in potential output due to the present crisis. Using a multivariate state space model, we show that this result does not hold if the long run role of excess liquidity (that we estimate endogeneously) for inflation is taken into account.

We compute optimally diversified international asset portfolios for banks located in France, Germany, Italy, the United Kingdom and the United States using the mean–variance portfolio model with currency hedging. We compare these benchmark portfolios with the actual cross-border asset positions of banks from 1995 to 2003 and ask whether the differences are best explained by regulations, institutions, cultural conditions or other financial frictions. Our results suggest that both culture and regulations affect the probability of a country's being overweighted in banks' portfolios: countries whose residents score higher on a survey measure of trust are more likely to be overweighted, while countries that have tighter capital controls are less likely to be overweighted. From a policy standpoint, the importance of culture suggests a limit to the degree of financial integration that may be achievable by the removal of formal economic barriers.

While the long run relation between money and inflation is well established, empirical evidence on the adjustment to the long run equilibrium is very heterogeneous. In the present paper we use a multivariate state space framework, that substantially expands the traditional vector error correction approach, to analyze the short run impact of money on prices. We contribute to the literature in three ways: First, we distinguish changes in velocity of money that are due to institutional developments and thus do not induce inflationary pressure, and changes that reflect transitory movements in money demand. This is achieved with a newly developed multivariate unobserved components decomposition. Second, we analyze whether the high volatility of the transmission from monetary pressure to inflation follows some structure, i.e., if the parameter regime can assumed to be constant. Finally, we use our model to illustrate the consequences of the monetary policy of the Fed that has been employed to mitigate the impact of the financial crisis, simulating different exit strategy scenarios.

Many situations in the history of the stock markets indicate that assets are not always efficiently priced. But why does it matter whether the stock market is efficiently priced? Because “well-functioning financial markets are a key factor to high economic growth”. (Mishkin and Eakins, 2006, pp. 3-4) In three essays, it is the aim of the author to shed some more light on the topic of market efficiency, which is far from being resolved. Since European equity markets have increased in importance globally, the author, instead of focusing on US markets, looks at a unified European equity market. By testing for a random walk in equity prices, revisiting Shiller’s claim of excess volatility through the means of a vector error correction model, and modifying the Gordon-Growth-Model, the book concludes that a small degree of inefficiency cannot be ruled out. While usually European equity markets are pricing assets correctly, some periods (e.g. the late 1990s and early 2000s) show clear signs of mispricing; the hypothesis of a world with two states (regime one, a normal efficient state, and regime two, a state in which markets are more momentum driven) presents a possible explanation.

We analyze the stability of efficiency rankings of German universal banks between 1993 and 2004. First, we estimate traditional efficiency scores with stochastic cost and alternative profit frontier analysis. Then, we explicitly allow for different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal demand system, we estimate input- and profit-demand functions to obtain proxies for expected return and risk. Efficiency is then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher than profit efficiency (PE). More importantly, rank–order correlation between these measures are low or even negative. This suggests that best-practice institutes should not be identified on the basis of traditional efficiency measures alone. Apparently, low cost and/or PE may merely result from alternative yet efficiently chosen risk-return trade-offs.

Standard neoclassical models of economic integration are based on the assumptions that capital and labor are substitutes and that the geography of factor market integration does not matter. Yet, these two assumptions are violated if agglomeration forces among factors from specific source countries are at work. Agglomeration implies that factors behave as complements and that the country of origin matters. This paper analyzes agglomeration between capital and labor empirically. We use state-level German data to answer the question whether and how migration and foreign direct investment (FDI) are linked. Stocks of inward FDI and of immigrants have similar determinants, and the geography of factor market integration matters. There are higher stocks of inward FDI in German states hosting a large foreign population from the same country of origin. This agglomeration effect is confined to higher-income source countries.

Unemployment is still disappointingly high in most Central and East European countries, and might be a reflection of the ongoing adjustment to institutional shocks resulting from systemic transition, or it may be caused by high labour market rigidity, or aggregate demand that is too weak. In this paper we have investigated the dynamics of unemployment and output in those eight post-communist countries, which entered the EU in 2004. We used a model related to Okun’s Law; i.e. the first differences in unemployment rates were regressed on GDP growth rates. We estimated country and panel regressions with instrument variables (TSLS) and applied a few tests to the data and regression results. We assume transition of labour markets to be accomplished when a robust relationship exists between unemployment rate changes and GDP growth. Moreover, the estimated coefficients contain information about labour market rigidity and unemployment thresholds of output growth. Our results suggest that the transition of labour markets can be regarded as completed since unemployment responds to output changes and not to a changing institutional environment that destroys jobs in the state sector. The regression coefficients have demonstrated that a high trend rate of productivity and a high unemployment intensity of output growth have been occurring since 1998. Therefore, we conclude that labour market rigidities do not play an important role in explaining high unemployment rates. However, GDP growth is dominated by productivity progress and the employment-relevant component of aggregate demand is too low to reduce the high level of unemployment substantially.

Most bank efficiency studies that use stochastic frontier analysis (SFA) employ each bank’s own implicit input price when estimating efficient frontiers. But at the same time, most studies are based on cost and/or profit models that assume perfect input markets. Traditional input price proxies therefore contain at least substantial measurement error. We suggest here two alternative input market definitions to approximate exogenous input prices. We have access to Bundesbank data, which allows us to cover virtually all German universal banks between 1993 and 2003. The use of alternative input price proxies leads to mean cost efficiency that is significantly five percentage points lower compared to traditional input prices. Mean profit efficiency is hardly affected. Across models, small cooperative banks located in large western states perform best while large banks and those located in eastern states rank lowest.

This report summarises the results generated in empirical analysis within a larger EU 5th FP RTD-project on the determinants of productivity gaps between the current EU-15 and accession states in Central East Europe. The focus of research in this part of the project is on sectoral specialisation patterns emerging as a result of intensifying integration between the current EU and a selection of six newly acceding economies, namely Estonia, Poland, the Czech and Slovak Republics, Hungary and Slovenia. The research-leading question is concerned with the role played by the respective specialisation patterns for (i) the explanation of observed productivity gaps and for (ii) the projection of future potentials of productivity growth in Central East Europe.

For the aggregated level, analysis determines the share of national productivity gaps accountable to acceding countries’ particular sectoral patterns, and their role for aggregate productivity growth: in Poland, the Slovak Republic and Hungary, sectoral shares of national productivity gaps are considerable and might evolve into a ‘barrier’ to productivity catch-up.Moreover, past productivity growth was dominated by a downward adjustment in employment rather than structural change. With the industrial sector of manufacturing having been identified as the main source of national productivity gaps and growth, the subsequent analysis focuses on the role of industrial specialisation patterns and develops an empirical model to project future productivity growth potentials. Each chapter closes with some policy conclusions.