This paper estimates the effect of innovation on employment at the firm level. Our uniquely long innovation panel data set of German manufacturing firms covers more than 20 years and allows us to use various innovation measures. We can distinguish between product and process innovations as well as between innovation inputs and innovation outputs. Using dynamic panel GMM system estimation we find positive effects of innovation on employment. This result is robust to the use of product and process innovations as well as for innovation input and output.JEL Code: O30, L60, C23, J23.
This paper presents a micro data approach to the identification of credit crunches. Using a survey among German firms which regularly queries the firms' assessment of the current willingness of banks to extend credit, we estimate the probability of a restrictive loan supply policy by time taking into account the creditworthiness of borrowers. Creditworthiness is approximated by firm-specific factors, e.g. the firms' assessment of their current business situation and their business expectations. After controlling for the return on the banks' risk-free investment alternative, which is also likely to affect the supply of loans, we derive a credit crunch indicator, which measures that part of the shift in the loan supply that is neither explained by firm-specific factors nor by the opportunity costs of providing risky loans.JEL classifications: C23, E44, E51, G21
This paper analyzes empirically the effects of innovation on employment at the firm level using a uniquely long panel dataset of German manufacturing firms. The overall effect of innovations on employment often remains unclear in theoretical contributions due to reverse effects. We distinguish between product and process innovations and introduce in addition different innovation categories. We find clearly positive effects for product and process innovations on employment growth with the effects for process innovations being slightly higher. The effects are stronger in small firms and differ between firms in former West and East Germany.JEL Codes: J23, O30, L60
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INPUT DEMAND AND THE SHORT-AND LONG-RUN EMPLOYMENT THRESHOLDS An Empirical Analysis for the German Manufacturing Sector AbstractThe concept of the "employment threshold" plays an important role in the public discussion of unemployment. The employment threshold is defined as that growth rate of output which is necessary to keep employment constant despite the continuous rise in labour productivity. It is related to the Okun coefficient which describes the relationship between the changes of output and unemployment. Many contributions to this debate give the impression that the employment threshold is more or less a structural characteristic which remains constant over time. In this paper we derive short-and long-run employment thresholds from an input demand system and show empirically that they depend on factor prices. A moderate wage policy leads to a reduction of the output growth which is necessary for an increase in employment.
We estimate local projections to explore how fiscal policy in euro area periphery countries responds to monetary policy shocks that lower sovereign bond yields. In particular, we assess whether the disciplining effect of financial markets on public finances is undermined by the ability of monetary policy to affect the conditions of external funds. We find that the fiscal balance, on average, improves in response to monetary policy surprises that bring down yields on sovereign bonds.JEL Classification numbers: E52, E62, H62. *We are grateful to Francesco Zanetti, two anonymous referees, Peter Egger, Benjamin Born, Gerhard Illing, Stefan Pichler and Peter Zorn for valuable comments and helpful suggestions. We also thank the participants of the KOF research seminar and the LMU macroeconomic research seminar for fruitful discussions. The usual disclaimer applies.
Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliografi e; detaillierte bibliografi sche Daten sind im Internet über http://dnb.d-nb.de abrufb ar.
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