Search results for "Level data"

Specimens at the Center: An Informatics Workflow and Toolkit for Specimen-level analysis of Public DNA database data

2016

Pham, Kasey K. [et al.]

Decomposing regional business change at plant level in Italy. A novel spatial shift-share approach

2014

Previous experience, experimentation and export survival : Evidence from firm-product-destination level data

2021

This paper explores the role of a firm's product and/or market export experience and experimentation for survival of new product-destination export spells, using firm-level Spanish customs data over the period 1997-2015. Previous research has documented a positive impact of experience on export survival. This paper contributes to the extant literature by unravelling the distinct effect on export survival of ongoing accumulated experience (i.e., from the start of a product-destination export spell), previous product and/or destination-market experience and experimentation (repetition of product-destination relationships). We find that 60% of new product-country export spells end during their…

Heterogeneous gains from countercyclical fiscal policy: new evidence from international industry-level data

2021

Abstract Empirical evidence to date suggests a positive relationship between fiscal policy countercyclicality and growth. But do all industries gain equally from countercyclical fiscal policy? What are the channels through which countercyclical fiscal policy affects industry-level growth? We answer these questions by applying a difference-in-difference approach to an unbalanced panel of 22 manufacturing industries for 55 countries—including both advanced and developing economies—during the period 1970–2014. Among the various industry characteristics guided by different theoretical channels, we find that the credit constraints channel identifies the best transmission mechanism through which …

German Bank Lending During Emerging Market Crises: A Bank Level Analysis

2007

This paper studies German bank lending during the Asian and Russian crises, using a bank level data set, which has been compiled from credit data at the Deutsche Bundesbank. Our aim is to gain more insight into the pattern of German bank lending during financial crises in emerging markets. We find that German banks reacted to the Asian crisis mainly by reallocating their portfolios among emerging markets. This behaviour is consistent with active portfolio management and does not necessarily indicate a spontaneous reaction to the Asian crisis. By contrast, the banks' behaviour during the Russian crisis is characterised by a general withdrawal from emerging markets. The use of micro data allo…

The role of the distribution platform in price formation of paid apps

2015

In this paper we study the role of the distribution platform as an important determinant of price of paid apps. We also examine how the distribution platform influences the price implications of important developers' app-level decisions. To these purposes, we construct a hierarchical model of price formation by using an ad-hoc panel dataset consisting of top paid apps from the two major app stores, namely Apple's App Store and Google Play. Our findings show that prices of paid apps strongly depend on the platform where the apps are marketed. Specifically, the App Store is associated with lower prices for paid apps than Google Play. We find evidence that this is because the impact of cross-s…

Using Daily Store-level Data to Understand Price Promotion Effects in a Semiparametric Regression Model

2009

Though it has been widely reported in the marketing literature that temporary price discounts generate substantial short-term sales increase, the shape of the deal effect curve constitutes a key research topic, for which there are still limited empirical results. To address this issue, a semiparametric regression approach is used to model the complex nature of this phenomenon. Our model is developed at the brand level using daily store-level scanner-data, which allows the study of several nonreported promotional effects, such as the influence of the day of the week both in promotional and nonpromotional periods. The results show that the weekend is the most effective in increasing promotion…

A statistical calibration model for Affymetrix probe level data

2009

Gene expression microarrays allow a researcher to measure the simultaneous response of thousands of genes to external conditions. Affymetrix GeneChip{ $Ⓡ$} expression array technology has become a standard tool in medical research. Anyway, a preprocessing step is usually necessary in order to obtain a gene expression measure. Aim of this paper is to propose a calibration method to estimate the nominal concentration based on a nonlinear mixed model. This method is an enhancement of a method proposed in Mineo et al. (2006). The relationship between raw intensities and concentration is obtained by using the Langmuir isotherm theory.

Why people engage in supplemental work: The role of technology, response expectations, and communication persistence

2021

Supported by various collaboration technologies that allow communication from any place or time, employees increasingly engage in technology-assisted supplemental work (TASW). Challenges associated with managing work and non-work time have been further complicated by a global pandemic that has altered traditional work patterns and locations. To date studies applying a TASW framework have focused mainly on individual uses of technology or connectivity behaviors, and not considered the potential team and social pressures underlying these processes. This study provides clarity on the differences between technology use and TASW and sheds light on the drivers of TASW in a work environment charac…

Building up adjusted indicators of students' evaluation of university courses using generalized item response models

2012

This article advances a proposal for building up adjusted composite indicators of the quality of university courses from students’ assessments. The flexible framework of Generalized Item Response Models is adopted here for controlling the sources of heterogeneity in the data structure that make evaluations across courses not directly comparable. Specifically, it allows us to: jointly model students’ ratings to the set of items which define the quality of university courses; explicitly consider the dimensionality of the items composing the evaluation form; evaluate and remove the effect of potential confounding factors which may affect students’ evaluation; model the intra-cluster variabilit…