International Sourcing, Product Complexity and Intellectual Property Rights

In this paper, we propose the technological complexity of a product and the level of Intellectual Property Rights (IPRs) protection to be the co-determinants of the mode through which multinational firms purchase their goods. We study the choice between intra-firm trade and outsourcing given heterogeneity at the product- (complexity), firm- (productivity) and country- (IPRs) level. Our findings suggest that the above three dimensions of heterogeneity are crucial for complex goods, where firms face a trade-off between higher marginal costs in the case of trade with an affiliate and higher imitation risks in the case of sourcing from an independent supplier. We test these predictions by combining data from a French firm-level survey on the mode choice for each transaction with a newly developed complexity measure at the product-level. Our fractional logit estimations confirm the proposition that although firms are generally reluctant to source highly complex goods from outside the firm’s boundaries, they do so when a strong IPR regime in the host country guarantees the protection of their technology.Sourcing Decision, Product Complexity, Intellectual Property Rights, Fractional Logit Estimation

International Sourcing, Product Complexity and Intellectual Property Rights

In this paper, we propose the technological complexity of a product and the level of Intellectual Property Rights (IPRs) protection to be the co-determinants of the mode through which multinational firms purchase their goods. We study the choice between intra-firm trade and outsourcing given heterogeneity at the product- (complexity), firm- (productivity) and country- (IPRs) level. Our findings suggest that the above three dimensions of heterogeneity are crucial for complex goods, where firms face a trade-off between higher marginal costs in the case of trade with an affiliate and higher imitation risks in the case of sourcing from an independent supplier. We test these predictions by combining data from a French firm-level survey on the mode choice for each transaction with a newly developed complexity measure at the product-level. Our fractional logit estimations confirm the proposition that although firms are generally reluctant to source highly complex goods from outside the firm’s boundaries, they do so when a strong IPR regime in the host country guarantees the protection of their technology.sourcing decision; product complexity; intellectual property rights; fractional logit estimation

International Sourcing, Product Complexity and Intellectual Property Rights

In this paper, we propose the technological complexity of a product and the level of Intellectual Property Rights (IPRs) protection to be the co-determinants of the mode through which multinational firms purchase their goods. We study the choice between intra-firm trade and outsourcing given heterogeneity at the product-(complexity), firm-(productivity) and country-(IPRs) level. Our findings suggest that the above three dimensions of heterogeneity are crucial for complex goods, where firms face a trade-off between higher marginal costs in the case of trade with an affiliate and higher imitation risks in the case of sourcing from an independent supplier. We test these predictions by combining data from a French firm-level survey on the mode choice for each transaction with a newly developed complexity measure at the product-level. Our fractional logit estimations confirm the proposition that although firms are generally reluctant to source highly complex goods from outside the firm’s boundaries, they do so when a strong IPR regime in the host country guarantees the protection of their technology.Sourcing decision, product complexity, intellectual property rights, fractional logit estimation

A modified version of the SMAR model for estimating root-zone soil moisture from time-series of surface soil moisture

Root-zone soil moisture at the regional scale has always been a missing element of the hydrological cycle. Knowing its value could be a great help in estimating evapotranspiration, erosion, runoff, permeability, irrigation needs, etc. The recently developed Soil Moisture Analytical Relationship (SMAR) can relate the surface soil moisture to the moisture content of deeper layers using a physically-based formulation. Previous studies have proved the effectiveness of SMAR in estimating root-zone soil moisture, yet there is still room for improvement in its application. For example, the soil water loss function (i.e. deep percolation and evapotranspiration), assumed to be a linear function in the SMAR model, may produce approximations in the estimation of water losses in the second soil layer. This problem becomes more critical in soils with finer textures. In this regard, the soil moisture profile data from two research sites (AMMA and SCAN) were investigated. The results showed that after a rainfall event, soil water losses decrease following a power pattern until they reach a minimum steady state. This knowledge was used to modify SMAR. In particular, SMAR was modified (MSMAR) by introducing a non-linear soil water loss function that allowed for improved estimates of root zone soil moisture.Keywords: surface soil moisture, root-zone soil moisture, SMAR, soil water loss function, MSMA

Intellectual Property Rights, Product Complexity, and the Organization of Multinational Firms

This paper studies how the Intellectual Property Right (IPR) regime in destination countries influences the way multinationals structure the international organization of their production. In particular, we explore how multinationals divide tasks of different complexities across countries with different levels of IPR protection. The analysis studies the decision of firms between procurement from related parties and outsourcing to independents suppliers at the product level. It also breaks down outsourcing into two types by distinguishing whether or not they involve technology sharing between the two parties. We combine data from a French firm-level survey on the mode choice for each transaction with a newly developed complexity measure at the product level. Our results confirm that firms are generally reluctant to source highly complex goods from outside firm boundaries. By studying the interaction between product complexity and the IPR protection, we obtain that (i) for technology-sharing-outsourcing IPRs promote outsourcing of more complex goods to a destination country by guaranteeing the protection of their technology, (ii) for non-technology-related-outsourcing IPRs attract the outsourcing of less complex products that are more prone to reverse engineering and simpler to decodify and imitate

Evaluating the Effect of Socio-Economic Status on DMFT Index in Children Aged 12 in Iran through Zero-Inflated Poisson Regression

Introduction: The most common index in dental studies is the decayed, missing, or filled teeth (dmft)/DMFT. Risk factor evaluation in order to investigate the significant factors that affect this DMFT in children has an important role in dental epidemiological studies. The aim of this study was to investigate the association between socioeconomic factors and dental caries. Materials and Methods:  This cross-sectional study was a part of a national survey for assessing the oral health status of Iranian citizens in 2012. The target population was children aged. The data and oral examination results were collected by the clinical examination form and trained calibrated dental group (dentists and hygienists). A zero-inflated Poisson regression model (ZIP) with a random effect was utilized for evaluating the effect of socioeconomic status on DMFT. Results:  In general, 1564 subjects were studied. From the entire subject in this study, the frequency of zero was 4176 (67%). The result of the ZIP model with random effect in zero part showed that socioeconomic status (OR = 1.97; P-value <0.001) had a significant effect on zero DMFT occurrences. The variance component of the random intercept in zero part was significant too (σ2 =17.11, P < 0.001). Conclusion: The zero-inflated Poisson model with random effect in zero part was fitted to this data. Children from lower socioeconomic classes experienced more DMFT. &nbsp

Assessing the effect of shift work among petrochemical Industries staff at Mahshahr, Iran

This study aims to examine the effect of shift work on overweight and obesity, hypercholesterolemia and GHQ score (GHQ-28) as an indicator of psychological well-being in subjects working in petrochemical industry sited in Mahshahr, west of Iran. In This longitudinal study, population consisted of 2493 (1321 day workers and 1171 shift workers) whose mean ages were 46.18 years for day workers and 45.53 years for shift workers, during a four years period (from 2008 to 2011). All workers were investigated by Persian version of General Health Questionnaire-28 (GHQ-28) as screen tool. The serum cholesterol, height and weight were measured with definitions of hypercholesterolemia as serum total cholesterol 220 mg/dl, overweight and obesity as body mass index (BMI) 25 kg/m2 .A conditional joint random effects models approach was applied to explore the effect of shift working on multivariate responses over this period of time. Shift work was significantly associated with GHQ score and BMI. Results indicated that the shift workers had about 0.65 higher mean scores of GHQ than the day workers and 0.18 higher BMI (95% CI 0.17 to 1.14) and (95% CI 0.05 to 0.27), respectively. Shift work did not show significant relationship with hypercholesterolemia (95% CI -0.27 to 0.009). The results of the present study suggest that shift work may be directly responsible for increased body fatness and is associated with psychological problems

How to test normality distribution for a variable: a real example and a simulation study

Many commonly used statistical methods require that the population distribution be nearly normal. Unfortunately, in some papers the one-sample Kolmogorov-Smirnov test has been used for testing normality while the assumptions of applying this test are not satisfied. To conduct this test, it is assumed that the population distribution is fully specified. In practical situation where the mean and SD of population distribution is not specified in advance, one can use a modification of the K-S test for checking the normality assumption which is called, Lilliefors test. In this paper, we explain the method of computing this test with some common statistical softwares such as SPSS, S-PLUS, R and StatXact and utilize a dermatology dataset from Skin Research Center of Shohada-e-Tajrish hospital to illustrate how the use of the one-sample K-S (with the mean and SD estimated from the sample) instead of its modification can be misleading in practice. We also use Monte Carlo simulation to compare the approximate power of the one-sample K-S test (with the estimated population mean and SD) with Lilliefors test in some common specified continuous distributions. The result indicates that one should not use the one-sample K-S test for assessing the normality assumption in practical situation.

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Analysis of Network Coding in a Slotted ALOHA-based Two-Way Relay Network

This paper deals with a two-way relay network (TWRN) based on a slotted ALOHA protocol which utilizes network coding to exchange the packets. We proposed an analytical approach to study the behavior of such networks and the effects of network coding on the throughput, power, and queueing delay of the relay node. In addition, when end nodes are not saturated, our approach enables us to achieve the stability region of the network in different situations. Finally, we carry out some simulation to confirm the validity of the proposed analytical approach