scholarly journals Work and Labor in Slow-Progressive Sectors of the Economy

2013 ◽  
Vol 3 (1) ◽  
pp. 95 ◽  
Author(s):  
Matti Vuorensyrjä
Keyword(s):  
Performing Arts ◽  
Time Pressure ◽  
Disease Model ◽  
Research Literature ◽  
Data Set ◽  
Cost Disease ◽  
Rate Of Growth ◽  
Long Run ◽  
Social Scientific ◽  
A Minor

In the late 1960s, William Baumol demonstrated that structurally unbalanced growth, with the associated cost disease phenomenon, can be expected to have some very particular effects on work and labor in slow-progressive sectors of the economy: performing arts, health care, education, and law enforcement. Specifically, there will be downward pressure on the rate of growth of unit wages and upward pressure on the rate of growth of productivity in these sectors. In the long run, the effects of cost disease are potentially damaging for work and labor in some of the key human service occupations in the public sector. In this interdisciplinary paper, we put forward a simple model, which reconstructs and renews the model discovered by Baumol in 1967. Our model makes only a minor modification to Baumol’s original cost disease model, but the implications of this modification are noteworthy. They are also largely unexplored in empirical research. In this paper, we search for empirical traces of the effects of cost disease on work and labor. We use earlier economic and social scientific research literature on inter-industry wage differences and on time pressure, and we analyze differences in work orientations with the help of the ISSP Work Orientations III data set. Our empirical findings are early and rough intimations. However, they do give preliminary support to the propositions of the paper. The observed changes in employment, wages, and experienced time pressure all correspond to what we would expect on the basis of the cost disease hypothesis. The same applies to the observed differences in the structure of incentives across different occupational groups. The paper is not empirically conclusive, but we see it as a basis for interesting further research.

scholarly journals A Methodological Intervention in Cosmopolitanism Research: Cosmopolitan Dispositions Amongst Digital Natives

2014 ◽  
Vol 19 (3) ◽  
pp. 79-92 ◽  
Author(s):  
Johan Lindell
Keyword(s):  
Social Life ◽  
Secondary Data ◽  
Digital Natives ◽  
Theoretical Concept ◽  
Conceptual Level ◽  
Data Set ◽  
One Dimensional ◽  
Social Scientific ◽  
A Minor ◽  
Empty Signifier

The concept cosmopolitanism has the potential of becoming one of the most interesting social scientific tools for understanding contemporary social life. Operationalising it however, has proved a difficult task. Here, researchers utilise different single indicators while making claims towards the same theoretical concept. This not only undermines the theoretical complexity immanent in the term cosmopolitanism, but also creates a false intersubjectivity in the field of cosmopolitanism studies. In order to ‘save’ cosmopolitanism from the risk of becoming an ‘empty signifier’ (Skrbis et al. 2004) or a ‘“free-floating” discursive geist’ ( Holton 2009 ), in an attempt to address the ‘muddy’ ( Calhoun 2008 ) nature of the concept, this paper presents a methodological blueprint that locates the process of definition in the intersection of the theoretical and the empirical. As such, the proposed methodological way of conduct starts on the conceptual level in order to define the central theoretical tenets included in the cosmopolitan disposition. It then operationalises these claims into indicators that are included in an exploratory analysis of the data set. In conducting a minor quantitative study on ‘digital natives’ in Sweden the method is illustrated as being able to discern manifestations of ‘actually existing cosmopolitanisms’ ( Malcomson 1998 ) and thus avoid the risk of reductionism involved with the use of one-dimensional indicators or pre-existing, less-than-adequate variables in secondary data.

Dynamic Relationship between Crude Oil and Stock Prices in India: Before And After the Subprime Financial Crisis 2008

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu
Keyword(s):  
Financial Crisis ◽  
Crude Oil ◽  
Stock Prices ◽  
Oil Prices ◽  
Energy Index ◽  
Data Set ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run ◽  
Before And After

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.

Evolution of the number of communicative civilizations in the Galaxy: implications on Fermi paradox

2020 ◽  
Vol 19 (4) ◽  
pp. 314-319
Author(s):  
Giorgio Spada ◽  
Daniele Melini
Keyword(s):  
Power Law ◽  
Slow Rate ◽  
Rate Of Growth ◽  
Long Run ◽  
Rate Of Increase ◽  
The Galaxy ◽  
Zero Number

AbstractIt has been recently proposed DeVito [(2019) On the meaning of Fermi's paradox. Futures, 389–414] that a minimal number of contacts with alien radio-communicative civilizations could be justified by their logarithmically slow rate of growth in the Galaxy. Here we further develop this approach to the Fermi paradox, with the purpose of expanding the ensemble of the possible styles of growth that are consistent with the hypothesis of a minimal number of contacts. Generalizing the approach in DeVito (2019), we show that a logarithmic style of growth is still found. We also find that a style of growth following a power law would be admissible, however characterized by an exponent less than one, hence describing a sublinear increase in the number of communicative civilizations, still qualitatively in agreement with DeVito (2019). No solutions are found indicating a superlinear increase in the number of communicative civilizations, following for example an exponentially diverging law, which would cause, in the long run, an unsustainable proliferation. Although largely speculative, our findings corroborate the idea that a sublinear rate of increase in the number of communicative civilizations in the Galaxy could constitute a further resolution of Fermi paradox, implying a constant and minimal – but not zero – number of contacts.

scholarly journals A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis

2021 ◽  
Vol 14 (7) ◽  
pp. 319
Author(s):  
Hany Fahmy
Keyword(s):  
International Trade ◽  
Structural Breaks ◽  
Developing Economies ◽  
Commodity Prices ◽  
Commodity Price ◽  
Data Set ◽  
Price Series ◽  
Long Run ◽  
Starting Point ◽  
The Impact

The Prebisch-Singer (PS) hypothesis, which postulates the presence of a downward secular trend in the price of primary commodities relative to manufacturers, remains at the core of a continuing debate among international trade economists. The reason is that the results of testing the PS hypothesis depend on the starting point of the technical analysis, i.e., stationarity, nonlinearity, and the existence of structural breaks. The objective of this paper is to appraise the PS hypothesis in the short- and long-run by employing a novel multiresolution wavelets decomposition to a unique data set of commodity prices. The paper also seeks to assess the impact of the terms of trade (also known as Incoterms) on the test results. The analysis reveals that the PS hypothesis is not supported in the long run for the aggregate commodity price index and for most of the individual commodity price series forming it. Furthermore, in addition to the starting point of the analysis, the results show that the PS test depends on the term of trade classification of commodity prices. These findings are of particular significance to international trade regulators and policymakers of developing economies that depend mainly on primary commodities in their exports.

Impact of cancer- and patient-level factors on provider risk in the Oncology Care Model.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18852-e18852
Author(s):  
Basit Iqbal Chaudhry ◽  
Andrew Yue ◽  
Shuchita Kaila ◽  
Kay Sadik ◽  
Lisa Tran ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Research Literature ◽  
Risk Exposure ◽  
Progression Rate ◽  
Cell Transplant ◽  
Care Model ◽  
Data Set ◽  
Patient Level ◽  
Oncology Care ◽  
The Impact

e18852 Background: Transferring financial risk from payers to providers to align incentives is central to value-based payment (VBP) reform, including Medicare’s Oncology Care Model (OCM). We simulated the impact of selected cancer- and patient-level factors on providers’ risk in OCM for multiple myeloma (MM), due to its clinical complexity. We hypothesize that risk exposure is sensitive to factors extrinsic to the OCM methodology, including clinical phenotype, disease state and progression rate. Methods: Simulation was used to address omitted variable bias in payer data. We developed 9 key clinical MM scenarios to examine provider risk, based on conceptual frameworks that included patient- and cancer-level factors. The model was parameterized using the Medicare limited data set, research literature and domain knowledge. Twenty factors were varied for each model, e.g. age, autologous stem cell transplant (ASCT). Results: Simulations results showed MM risk for providers depended highly on cancer and patient level factors (see table). For example, high-risk patients were on average $21.5K over target while undergoing ASCT (despite risk adjustment for ASCT) and $18-28K under target for follow on maintenance (maint.) episodes. Conclusions: Provider exposure to risk in OCM is highly sensitive to factors at the cancer and patient level. The distribution of clinical phenotypes, state of disease, and rate of disease progression can significantly impact risk exposure for providers in OCM. New methodologies that model risk in more clinically granular ways are needed to improve VBP in oncology. [Table: see text]

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

scholarly journals The endogeneity of the natural rate of growth: An application to Turkey

2010 ◽  
Vol 57 (4) ◽  
pp. 447-469
Author(s):  
Senay Acikgoz ◽  
Merter Mert
Keyword(s):  
Capital Stock ◽  
Labour Force ◽  
Physical Capital ◽  
Test Results ◽  
Natural Rate ◽  
Causality Test ◽  
Rate Of Growth ◽  
Production Factors ◽  
Long Run ◽  
Turkish Economy

The purpose of this paper is to examine the sensitivity of the Turkish economy?s natural rate of growth to the actual rate of growth, covering the period 1980-2008. To determine the reason why the natural rate of growth is endogenous, the long-run and the causality relationships between real gross domestic product and each of the production factors (labour force and physical capital stock) are investigated with the bounds test. The natural rate of growth for the Turkish economy is found to be at 4.97 percent and it increases approximately 35.6 percent in the boom periods; indicating endogeneity. However, according to the causality test results, the endogeneity of the natural rate of growth may be attributed to the total factor productivity rather than the labour force and physical capital stock. This result is important and the debate on this subject may lead to further studies.

scholarly journals Forensic Engineering Analysis Of Bicycle Versus Pickup Collision

2010 ◽  
Vol 27 (1) ◽  
Author(s):  
Jerry S. Ogden
Keyword(s):  
High Speed ◽  
Engineering Analysis ◽  
Test Procedures ◽  
Data Set ◽  
Vehicle To Vehicle ◽  
Vehicle Collision ◽  
Vehicle Impact ◽  
General Test ◽  
Forensic Engineering ◽  
A Minor

The Forensic Engineering Analysis Of Bicycle-Vehicle Incidents Presents Its Own Unique Set Of Challenges. Often, The Forensic Engineer Is Faced With A Limited Data Set For Determining Vehicle Impact Speed From The Physical Evidence Produced By A Bicycle Collision With An Automobile, Which May Not Be Of Issue For A Vehicle-To-Vehicle Collision At Similar Speeds. This Paper Analyzes A Collision Between A Light Duty Pickup Pulling A Tandem Axle Utility Trailer And A Bicycle Ridden By A Minor Child. There Were Allegations That The Pickup Was Traveling At A High Speed Above The Speed Limit, As Well As Passing Another Vehicle At The Time Of The Incident. In Order To Accurately And Dependably Determine The Speed Of The Ford F350 Pickup Involved In This Incident Event, This Forensic Engineer Elected To Recreate The Vehicle Locked Wheel Skidding Evidence That Was Produced During The Incident Event And Photographically Recorded By Police Investigators. The Dynamic Skid Testing Technique, Test Equipment, And General Test Procedures Used To Accurately Determine Vehicle Speeds For This Incident Event, And How It Can Be Applied To Similar Collision Events Are Discussed In This Paper

Money and Household Consumption Expenditure in Developing Asia: Some Panel ARDL Evidence

2021 ◽  
pp. 001946622110624
Author(s):  
Ghanashyama Mahanty ◽  
Himanshu Sekhar Rout ◽  
Swayam Prava Mishra
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
Household Consumption ◽  
Asia Pacific ◽  
Consumption Expenditure ◽  
Data Set ◽  
Final Consumption ◽  
Long Run ◽  
Short Run

The role of money in influencing real economic activities has been a long-standing debate in macroeconomics. As per the Keynesian theory, household consumption expenditure plays a significant role in promoting economic growth. Given the rapid consumption-led growth pattern in the emerging Asia Pacific region, in this article, we attempt to assess the role of money in influencing household consumption expenditure, which propels economic growth. We employ a panel data set from 2005–2018 for 10 emerging Asian economies, covering Bangladesh, Cambodia, India, Indonesia, Malaysia, Pakistan, Philippines, Sri Lanka, Thailand and Vietnam. Given the region’s heterogeneous nature, we employ a variant of the popular St Louise equation model with autoregressive distributed lag model (ARDL) panel framework based on pooled mean group (PMG) and dynamic fixed effect (DFE) models developed by Pesaran and Shin to study the underlying relationships. Both PMG and DFE models suggest a strong positive relationship between money and household consumption expenditure both in the long run and short run. After allowing for control variables such as government final consumption expenditure and interest rate, the relationships continue to hold steady. Further, the relationship holds true across both narrow (M1) and broad money (M3) measures. The government final consumption expenditure and interest rates do not have influence on household consumption expenditure in the long run, but they have an influence in the short run. JEL Codes: C23, O16, O47, E51, E31, E21

House price index (HPI) and Covid-19 pandemic shocks: evidence from Turkey and Kazakhstan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yeşim Aliefendioğlu ◽  
Harun Tanrivermis ◽  
Monsurat Ayojimi Salami
Keyword(s):  
Real Estate ◽  
Price Index ◽  
Housing Prices ◽  
House Price ◽  
Monthly Basis ◽  
Data Set ◽  
House Price Index ◽  
Content Type ◽  
Asymmetric Pricing ◽  
Long Run

Purpose This paper aims to investigate asymmetric pricing behaviour and impact of coronavirus (Covid-19) pandemic shocks on house price index (HPI) of Turkey and Kazakhstan. Design/methodology/approach Monthly HPIs and consumer price index (CPI) data ranges from 2010M1 to 2020M5 are used. This study uses a nonlinear autoregressive distributed lag model for empirical analysis. Findings The findings of this study reveal that the Covid-19 pandemic exerted both long-run and short-run asymmetric relationship on HPI of Turkey while in Kazakhstan, the long-run impact of Covid-19 pandemic shock is symmetrical long-run positive effect is similar in both HPI markets. Research limitations/implications The main limitations of this study are the study scope and data set due to data constraint. Several other macroeconomic variables may affect housing prices; however, variables used in this study satisfy the focus of this study in the presence of data constraint. HPI and CPI variables were made available on monthly basis for a considerably longer period which guaranteed the ranges of data set used in this study. Practical implications Despite the limitation, this study provides necessary information for authorities and prospective investors in HPI to make a sound investment decision. Originality/value This is the first study that rigorously and simultaneously examines the pricing behaviour of Turkey and Kazakhstan HPIs in relation to the Covid-19 pandemic shocks at the regional level. HPI of Kazakhstan is recognized in the global real estate transparency index but the study is rare. The study contributes to regional studies on housing price by bridging this gap in the real estate literature.

Sign in / Sign up

Export Citation Format

Share Document