Employment dynamics of newly established and traditional firms: A comparison of Russia and the Ukraine.

Dynamics; Employment; Firms;

Agglomeration economies, globalization and productivity. Firm level evidence for Slovenia.

This paper analyzes the impact of agglomeration economies on firm level performance measured by total factor productivity for Slovenia. To estimate total factor productivity, we use a control function approach to capture endogenous input choices and self selection. In contrast to most of the literature, we introduce agglomeration economies that are linked to globalization. In particular, we distinguish between knowledge spillovers related to domestic and foreign sources of agglomeration effects and analyze the impact of regional export market exposure, which we call international market access. We find positive effects of regional knowledge spillovers and international market access on firm level total factor productivity. These effects are stronger for micro and small firms and for firms operating in service sectors. We also show that knowledge spillovers are amplified when there are more foreign multinationals in a region.

Gross Job Flows in Ukraine: Size, Ownership and Trade Effects

This paper documents and analyses gross job flows and their determinants in Ukraine using a unique data set of more than 2200 Ukrainian firms operating in both the manufacturing and the non-manufacturing sector for the years 1998-2000. There are several important findings in the paper. Job destruction is dominating job creation in both 1999 and 2000. In connection with other evidence we infer from this that Ukraine is only at the beginning of the restructuring process. The most clear-cut result of our analysis is the strong positive effect of new private firms on net employment growth, a finding established for other transition economies as well. At the same time, we do not find differences in the employment growth of state-owned and privatised firms. Apart from ownership effects we also find, at the firm level, an inverse correlation of size and net employment growth and of size and job reallocation. Finally, we establish that strong foreign trade links force firms to shed labour more aggressively and to engage in more restructuring when trade is directed to and originating from Western economies. This disciplining function is absent when the trade flows are confined to CIS countries.http://deepblue.lib.umich.edu/bitstream/2027.42/39906/3/wp521.pd

Pass-on trade: Why do firms simultaneously engage in two-way trade in the same varieties?

This paper documents that a large fraction of trade flows at the firm level consists of simultaneous imports and exports in identical products, narrowly defined at the 8-digit product classification, which we call Pass-On Trade, POT. We use data on imports and exports at the firm–product level for Slovenian manufacturing firms in the period 1994-2008, to show that, on average, 70 percent of all exporting firms engage in POT. This corresponds to more than 50 percent of all exported products. Thus, imported products that are exported again by the same firm is a statistical regularity of trade of Slovenian manufacturing firms. We document that the use of POT is increasing in firm size, product diversification, multinational status as well as firm productivity and profitability. We offer and explore empirically a number of explanations for POT. Among possible explanations, we find evidence on the importance of firms’ multinational networks and demand complementarities between firms’ own and POT products. The latter confirms the theoretical explanations for ‘Carry-Along Trade’ (CAT) as developed by the recent work of Bernard et al (2010, 2012)

Undiagnosed diabetes from cross-sectional GP practice data: an approach to identify communities with high likelihood of undiagnosed diabetes

OBJECTIVES To estimate undiagnosed diabetes prevalence from general practitioner (GP) practice data and identify areas with high levels of undiagnosed and diagnosed diabetes. DESIGN Data from the North-West Adelaide Health Survey (NWAHS) were used to develop a model which predicts total diabetes at a small area. This model was then applied to cross-sectional data from general practices to predict the total level of expected diabetes. The difference between total expected and already diagnosed diabetes was defined as undiagnosed diabetes prevalence and was estimated for each small area. The patterns of diagnosed and undiagnosed diabetes were mapped to highlight the areas of high prevalence. SETTING North-West Adelaide, Australia. PARTICIPANTS This study used two population samples-one from the de-identified GP practice data (n=9327 active patients, aged 18 years and over) and another from NWAHS (n=4056, aged 18 years and over). MAIN OUTCOME MEASURES Total diabetes prevalence, diagnosed and undiagnosed diabetes prevalence at GP practice and Statistical Area Level 1. RESULTS Overall, it was estimated that there was one case of undiagnosed diabetes for every 3-4 diagnosed cases among the 9327 active patients analysed. The highest prevalence of diagnosed diabetes was seen in areas of lower socioeconomic status. However, the prevalence of undiagnosed diabetes was substantially higher in the least disadvantaged areas. CONCLUSIONS The method can be used to estimate population prevalence of diabetes from general practices wherever these data are available. This approach both flags the possibility that undiagnosed diabetes may be a problem of less disadvantaged social groups, and provides a tool to identify areas with high levels of unmet need for diabetes care which would enable policy makers to apply geographic targeting of effective interventions