This paper estimates a structural model of learning-by-doing. Treating production experience as a state variable, this paper provides estimates of the structural parameters obtained from the first order conditions arising from the plant’s maximization problem. Estimates are provided using data on 4-digit manufacturing industries and plant-level observations. Using aggregate industry data, the r...

The genetic code structure into distinct multiplet-classes as well as the numeric degeneracies of the latter are revealed by a two-step process. First, an empirical inventory of the degeneracies (of the shuffled multiplets) in two specific equal moieties of the experimental genetic code table is made and transcribed in the form of a sequence of integers. Second, a Gödel Encoding procedure is ap...

background: exposure to organic solvents is common among workers. objective: to assess neurobehavioral effects of long-term exposure to organic solvents among rubber workers in tehran, iran. methods: across-sectional study was conducted on 223 employees of a rubber industry. the participants completed a data collection sheet on their occupational and medical history, and demographic characteris...

Counterfactual learning is a natural scenario to improve web-based machine translation services by offline learning from feedback logged during user interactions. In order to avoid the risk of showing inferior translations to users, in such scenarios mostly exploration-free deterministic logging policies are in place. We analyze possible degeneracies of inverse and reweighted propensity scoring...

Abstract Two‐ or more‐factor general equilibrium models commonly assume no factor intensity reversals (FIRs): a good that is relatively capital intensive compared with other goods within country/region also another country/region. This assumption so important its breakdown results in the collapse of several well‐known theorems, such as Heckscher–Ohlin theorem and Stolper–Samuelson theorem. Seei...

This paper describes the methodology used for crosswalking occupation-based measures of Green (“environmentally friendly”) and Brown (“polluting”) jobs from Standard Occupational Classification (SOC) system to International Occupation (ISCO) 08 at most detailed (4-digit) level. The original, task-based Greenness scores by Vona et al. (2018) are provided 8-digit SOC level, industry-based Brownne...

This paper provides a comprehensive description of intra-industry trade patterns and trends, using data on more than 39 million bilateral trade flows. In 2006, 27 percent of global trade was intra-industry if measured at the finest (5-digit) level of statistical aggregation, and 44 percent if measured at a coarser (3-digit) level of statistical aggregation. The observed steady growth in global ...

We use a new firm level data set that establishes the location, ownership, and activity of 650,000 multinational subsidiaries—close to a comprehensive picture of global multinational activity. A number of patterns emerge from the data. Most foreign direct investment (FDI) occurs between rich countries. The share of vertical FDI (subsidiaries which provide inputs to their parent firms) is larger...

This paper uses a sample of 180,738 tax entities from the full Australian Tax Office (ATO) tax return data to investigate the determinants of profitability. The sample of Australian tax entities are averaged over the period 1994/95 to 1996/97. Analysis is carried out at a 3 digit ANZSIC level of classification. Using simple regression techniques the analysis suggests that size of entity is posi...