1,720,999 research outputs found
Der Noth gehorchend, nicht dem eignen Trieb Nascent Necessity and Opportunity Entrepreneurs in Germany Evidence from the Regional Entrepreneurship Monitor (REM)
Full text linkUsing a large recent representative sample of the adult German population this paper demonstrates that nascent necessity and nascent opportunity entrepreneurs are different with respect to some of the characteristics and attitudes considered to be important for becoming a nascent entrepreneur, and that they behave differently. Given the lack of longitudinal data, however, we have no information about the performance of entrepreneurs from both groups in the longer run.Necessity entrepreneurship, opportunity entrepreneurship, Germany, REM
Exports, Imports and Firm Survival: First Evidence for Manufacturing Enterprises in Germany
Full text linkThis paper documents the relationship between firm survival and three types of international trade activities - exports, imports and two-way trade. It uses unique new representative data for manufacturing enterprises from Germany, one of the leading actors on the world market for goods, that merge information from surveys performed by the Statistical Offices and administrative data collected by the Tax Authorities. It contributes to the literature by providing the first evidence on the role of imports and two-way trading for firm survival in a highly developed country. Descriptive statistics and regression analysis (with and without explicitly taking the rare events nature of firm exit into account) point to a strong positive link between firm survival on the one hand and imports and two-way trading on the other hand, while exporting alone does not play a role for exiting the market or not.exports, imports, firm survival
Nascent and Infant Entrepreneurs in Germany. Evidence from the Regional Entrepreneurship Monitor (REM)
Full text linkBased on data from a recent representative survey of the adult population in Germany this paper documents that the patterns of variables influencing nascent and infant entrepreneurship are quite similar and broadly in line with our theoretical priors – both types of entrepreneurship are fostered by the width of experience and a role model in the family, and hindered by risk aversion, while being male is a supporting factor. Results of this study using cross section data are in line with conclusions from longitudinal studies for other countries finding that between one in two and one in three nascent entrepreneurs become infant entrepreneurs, and that observed individual characteristics – with the important exception of former experience as an employee in the industry of the new venture - tend to play a minor role only in differentiating who starts and who gives up.Nascent entrepreneurs, infant entrepreneurs, Germany
Nascent and infant entrepreneurs in Germany. Evidence from the Regional Entrepreneurship Monitor (REM)
Full text linkBased on data from a recent representative survey of the adult population in Germany this paper documents that the patterns of variables influencing nascent and infant entrepreneurship are quite similar and broadly in line with our theoretical priors – both types of entrepreneurship are fostered by the width of experience and a role model in the family, and hindered by risk aversion, while being male is a supporting factor. Results of this study using cross section data are in line with conclusions from longitudinal studies for other countries finding that between one in two and one in three nascent entrepreneurs become infant entrepreneurs, and that observed individual characteristics – with the important exception of former experience as an employee in the industry of the new venture - tend to play a minor role only in differentiating who starts and who gives up.Nascent Entrepreneurs, Infant Entrepreneurs, Regional Entrepreneurship Monitor, REM, Germany
ReLogit: Rare Events Logistic Regression
Full text linkWe study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes, cases of political activism, or epidemiological infections) than zeros ("nonevents"). In many literatures, these variables have proven difficult to explain and predict, a problem that seems to have at least two sources. First, popular statistical procedures, such as logistic regression, can shar ply underestimate the probability of rare events. We recommend corrections that outperform existing methods and change the estimates of absolute and relative risks by as much as some estimated effects repor ted in the literature. Second, commonly used data collection strategies are grossly inefficient for rare events data. The fear of collecting data with too few events has led to data collections with huge numbers of obser vations but relatively few, and poorly measured, explanator y variables, such as in international conflict data with more than a quarter-million dyads, only a few of which are at war. As it turns out, more efficient sampling designs exist for making valid inferences, such as sampling all available events (e.g., wars) and a tiny fraction of nonevents (peace). This enables scholars to save as much as 99% of their (nonfixed) data collection costs or to collect much more meaningful explanator y variables. We provide methods that link these two results, enabling both types of corrections to work simultaneously, and software that implements the methods developed.
Foreign Ownership and Firm Survival: First Evidence for Enterprises in Germany
Full text linkThis paper documents the relationship between foreign ownership and firm survival for enterprises in Germany using unique tailor-made new representative data that merge information from surveys performed by the Statistical Offices, from administrative data collected by the Tax Authorities and from a commercial data provider. It contributes to the literature by providing the first evidence on the role of foreign ownership for firm survival in Germany, one of the most important destination countries for foreign direct investments. Our micro-econometric analysis reveals a ceteris paribus higher risk of exit for foreign owned firms in West Germany but not in East Germany.foreign ownership, firm survival, Germany
Foreign Ownership and Firm Survival: First evidence for enterprises in Germany
Full text linkThis paper documents the relationship between foreign ownership and firm survival for enterprises in Germany using unique tailor-made new representative data that merge information from surveys performed by the Statistical Offices, from administrative data collected by the Tax Authorities and from a commercial data provider. It contributes to the literature by providing the first evidence on the role of foreign ownership for firm survival in Germany, one of the most important destination countries for foreign direct investments. Our micro-econometric analysis reveals a ceteris paribus higher risk of exit for foreign owned firms in West Germany but not in East Germany.Foreign ownership, firm survival, Germany
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Prediction and Classification with Neural Network Models
No full textThis paper compares neural network models with the standard logit and probit models, the most widely used choice/classification models in current empirical research, and explores the application of neural network models in analyzing political choice/classification problems. Political relationships are usually nonlinear and of unknown functional forms, and political data are likely noisy. The logit/probit models assume exact and in general linear functional forms for the utility/classification functions underlying the observed categorical data, and are sensitive to noise. Neural network models, on the other hand, can be nonlinear, relatively robust to data noise, and capable of approximating arbitrary functional forms under general conditions. The latter are therefore potentially better suited to typical political data than the former. I first compare the models for this more likely case of nonlinear unknown generating function by Monte Carlo simulations, in which a "true" bench mark mo..
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