HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
Nr. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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The Case for a European Rating Agency: Evidence from the Eurozone Sovereign Debt Crisis
Marc Altdörfer, Carlos A. De las Salas Vega, Andre Guettler, Gunter Löffler
Journal of International Financial Markets, Institutions and Money,
2019
Abstract
Politicians frequently voice that European bond issuers would benefit from the presence of a Europe-based rating agency. We take Fitch as a prototype for such an agency. With its ownership structure and a headquarter in London, Fitch is more European than Moody’s and S&P; during the Eurozone sovereign debt crisis, it also issued more favorable ratings. Fitch’s rating actions, however, were largely ignored by the bond market. Our results thus cast doubt on the benefits of a European credit rating agency.
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Living with Lower Productivity Growth: Impact on Exports
Filippo di Mauro, Bernardo Mottironi, Gianmarco Ottaviano, Alessandro Zona-Mattioli
IWH-CompNet Discussion Papers,
Nr. 1,
2018
Abstract
This paper investigates the impact of sustained lower productivity growth on exports, by looking at the role of the productivity distribution and allocative efficiency as drivers of export performance. It follows and goes beyond the work of Barba Navaretti et al. (2017), analysing the effects of productivity on exports depending on the dynamics of allocative efficiency. Low productivity growth is a well-documented stylised fact in Western countries – and possibly a reality likely to persist for some time. What could be the impact of persistent sluggish growth of productivity on exports? To shed light on this question, this paper examines the relationship between the productivity distribution of firms and sectoral export performance. The structure of firms within countries or even sectors matters tremendously for the nexus between productivity and exports at the macroeconomic level, as the theoretical and empirical literature documents. For instance, whether too few firms at the top (lack of innovation) or too many firms at the bottom (weak market selection) drives slow average productivity at the macro level has very different implications and therefore demands different policy responses.
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Delay Determinants of European Banking Union Implementation
Michael Koetter, Thomas Krause, Lena Tonzer
Abstract
To safeguard financial stability and harmonise regulation, the European Commission substantially reformed banking supervision, resolution, and deposit insurance via EU directives. But most countries delay the transposition of these directives. We ask if transposition delays result from strategic considerations of governments conditional on the state of their financial, regulatory, and political systems? Supervisors might try to protect national banking systems and local politicians maybe reluctant to surrender national sovereignty to deal with failed banks. Alternatively, intricate financial regulation might require more implementation time in large and complex financial and political systems. We therefore collect data on the transposition delays of the three Banking Union directives and investigate observed delay variation across member states. Our correlation analyses suggest that existing regulatory and institutional frameworks, rather than banking market structure or political factors, matter for transposition delays.
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The Research Data Centre of the Halle Institute for Economic Research – Member of the Leibniz Association FDZ-IWH
Tim Kuttig, Cornelia Lang
Jahrbücher für Nationalökonomie und Statistik,
Nr. 2,
2017
Abstract
The Halle Institute for Economic Research (IWH) was founded in 1992 and operates three research departments: Macroeconomics, Financial Markets, and Structural Change and Productivity. The IWH’s research structure is designed to foster close interplay between micro and macroeconomic research, however it has its roots in the empirical research conducted on the transition from a planned to a market economy, with a particular focus on East Germany.
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Do Local Banking Market Structures Matter for SME Financing and Performance? New Evidence from an Emerging Economy
Iftekhar Hasan, Krzysztof Jackowicz, Oskar Kowalewski, Łukasz Kozłowski
Journal of Banking and Finance,
2017
Abstract
This paper investigates the relationship between local banking structures and SMEs’ access to debt and performance. Using a unique dataset on bank branch locations in Poland and firm-, county-, and bank-level data, we conclude that a strong position for local cooperative banks facilitates access to bank financing, lowers financial costs, boosts investments, and favours growth for SMEs. Moreover, counties in which cooperative banks hold a strong position are characterized by a more rapid pace of new firm creation. The opposite effects appear in the majority of cases for local banking markets dominated by foreign-owned banks. Consequently, our findings are important from a policy perspective because they show that foreign bank entry and industry consolidation may raise valid concerns for SME prospects in emerging economies.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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