The East-West German Gap in Revenue Productivity: Just a Tale of Output Prices?
Matthias Mertens, Steffen Müller
IWH-CompNet Discussion Papers,
Nr. 2,
2020
Abstract
East German manufacturers’ revenue productivity (value-added per worker) is some 8 (25) percent below West German levels, even three decades after German unification. Using firm-product-level data containing information on product quantities and prices, we analyse the role of product specialisation and reject the prominent ‚extended work bench hypothesis‘, stating a specialisation of Eastern firms in the intermediate input production as explanation for these sustained productivity differences. We decompose the East’s revenue productivity disadvantage into Eastern firms selling at lower prices and producing more physical output for given amounts of inputs within ten-digit product industries. This suggests that Eastern firms specialise vertically in simpler product varieties generating less consumer value but being manufactured with less or cheaper inputs. Vertical specialisation, however, does not explain the productivity gap as Eastern firms are physically less productive for given product prices, implying a genuine physical productivity disadvantage of Eastern compared to Western firms
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The East-West German Gap in Revenue Productivity: Just a Tale of Output Prices?
Matthias Mertens, Steffen Müller
IWH-Diskussionspapiere,
Nr. 14,
2020
Abstract
East German manufacturers’ revenue productivity (value-added per worker) is some 8 (25) percent below West German levels, even three decades after German unification. Using firm-product-level data containing information on product quantities and prices, we analyse the role of product specialisation and reject the prominent ‚extended work bench hypothesis‘, stating a specialisation of Eastern firms in the intermediate input production as explanation for these sustained productivity differences. We decompose the East’s revenue productivity disadvantage into Eastern firms selling at lower prices and producing more physical output for given amounts of inputs within ten-digit product industries. This suggests that Eastern firms specialise vertically in simpler product varieties generating less consumer value but being manufactured with less or cheaper inputs. Vertical specialisation, however, does not explain the productivity gap as Eastern firms are physically less productive for given product prices, implying a genuine physical productivity disadvantage of Eastern compared to Western firms.
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To Securitise or to Price Credit Default Risk?
Huyen Nguyen, Danny McGowan
IWH-Diskussionspapiere,
Nr. 10,
2020
Abstract
We evaluate if lenders price or securitise mortgages to mitigate credit risk. Exploiting exogenous variation in regional credit risk created by differences in foreclosure law along US state borders, we find that financial institutions respond to the law in heterogeneous ways. In the agency market where Government Sponsored Enterprises (GSEs) provide implicit loan guarantees, lenders transfer credit risk using securitisation and do not price credit risk into mortgage contracts. In the non-agency market, where there is no such guarantee, lenders increase interest rates as they are unable to shift credit risk to loan purchasers. The results inform the debate about the design of loan guarantees, the common interest rate policy, and show that underpricing regional credit risk leads to an increase in the GSEs‘ debt holdings by $79.5 billion per annum, exposing taxpayers to preventable losses in the housing market.
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Firm Productivity Report
Annalisa Ferrando, Tibor Lalinsky, Phillip Meinen, Ottavia Papagalli, Roberta Serafini, Johannes Amlung, Tommaso Bighelli, Roman Blyzniuk, Marco Christophori, Jonathan Deist, Mirja Hälbig, Peter Haug, Matthias Mertens, Verena Plümpe, Filippo di Mauro, Sergio Inferrera, Marc Melitz
CompNet - The Competitive Research Network,
2020
Abstract
As we enter a second phase of the COVID-pandemic, in which we attempt to reopen economies and foster growth, investigating the efficiency and productivity of firms becomes essential if we wish to design the appropriate policies. The 2020 Flagship Firm Productivity report provides a comprehensive account of how productivity is changing –and what is driving those changes –in Europe, drawing from granular firm-level information.Although it was written before the crisis erupted, this report can therefore offer critical insights to current policymaking andprovides grounds for future research.
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Financial Literacy and Self-employment
Aida Ćumurović, Walter Hyll
The Journal of Consumer Affairs,
im Erscheinen
Abstract
In this paper, we study the relationship between financial literacy and self‐employment. We use established financial literacy questions to measure literacy levels. The analysis shows a highly significant and positive correlation between the index and self‐employment. We address the direction of causality by applying instrumental variable techniques based on information about maternal education. We also exploit information on financial support and family background to account for concerns about the exclusion restriction. The results provide support for a positive effect of financial literacy on the probability of being self‐employed. As financial literacy is acquirable, the findings suggest that entrepreneurial activities might be increased by enhancing financial literacy.
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Should Forecasters Use Real‐time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
German Economic Review,
im Erscheinen
Abstract
In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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Bank Accounting Regulations, Enforcement Mechanisms, and Financial Statement Informativeness: Cross-country Evidence
Augustine Duru, Iftekhar Hasan, Liang Song, Yijiang Zhao
Accounting and Business Research,
im Erscheinen
Abstract
We construct measures of accounting regulations and enforcement mechanisms that are specific to a country's banking industry. Using a sample of major banks in 37 economies, we find that the informativeness of banks’ financial statements, measured by the value relevance of earnings and common equity, is higher in countries with stricter bank accounting regulations and countries with stronger enforcement. These findings suggest that superior bank accounting and enforcement mechanisms enhance the informativeness of banks’ financial statements. In addition, we find that the effects of bank accounting regulations are more pronounced in countries with stronger enforcement in the banking industry, suggesting that enforcement is complementary to bank accounting regulations in achieving higher value relevance of financial statements. Our study has important policy implications for bank regulators.
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Comparing Financial Transparency between For-profit and Nonprofit Suppliers of Public Goods: Evidence from Microfinance
John W. Goodell, Abhinav Goyal, Iftekhar Hasan
Journal of International Financial Markets, Institutions and Money,
2020
Abstract
Previous research finds market financing is favored over relationship financing in environments of better governance, since the transaction costs to investors of vetting asymmetric information are thereby reduced. For industries supplying public goods, for-profits rely on market financing, while nonprofits rely on relationships with donors. This suggests that for-profits will be more inclined than nonprofits to improve financial transparency. We examine the impact of for-profit versus nonprofit status on the financial transparency of firms engaged with supplying public goods. There are relatively few industries that have large number of both for-profit and nonprofit firms across countries. However, the microfinance industry provides the opportunity of a large number of both for-profit and nonprofit firms in relatively equal numbers, across a wide array of countries. Consistent with our prediction, we find that financial transparency is positively associated with a for-profit status. Results will be of broad interest both to scholars interested in the roles of transparency and transaction costs on market versus relational financing; as well as to policy makers interested in the impact of for-profit on the supply of public goods, and on the microfinance industry in particular.
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Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions
Christiane Baumeister, James D. Hamilton
NBER Working Paper No. 26606,
2020
Abstract
This paper discusses the problems associated with using information about the signs of certain magnitudes as a basis for drawing structural conclusions in vector autoregressions. We also review available tools to solve these problems. For illustration we use Dahlhaus and Vasishtha's (2019) study of the effects of a U.S. monetary contraction on capital flows to emerging markets. We explain why sign restrictions alone are not enough to allow us to answer the question and suggest alternative approaches that could be used.
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Nowcasting East German GDP Growth: a MIDAS Approach
João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
Abstract
Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.
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