Der Durchbruch des PKW zum Massenkonsumgut 1950-1964

2010 ◽  
Vol 51 (1) ◽  
Author(s):  
Christopher Kopper
Keyword(s):  
Additional Benefit ◽  
Price Regulation ◽  
Blue Collar ◽  
Car Ownership ◽  
Blue Collar Workers ◽  
Car Market ◽  
Car Sales ◽  
Used Car ◽  
Used Cars ◽  
Market Strategies

AbstractUntil now, research on the breakthrough of mass motorization has neglected the importance of the used car market. Empirical evidence proves that the used car market had a significant impact on the growth of car ownership and the purchase of cars among white and blue-collar workers. The transparency and flexibility of the used car market, the lack of price regulation and the degressive curve of used car prices facilitated car ownership among medium income Germans as early as the late 1950s. German car manufacturers recognized the potential of the used car market for the promotion of new car sales, but adopted different market strategies. US companies like Opel and Ford changed their models frequently to promote the sale of new cars and to accelerate the obsolescence of older models, whereas Volkswagen followed the strategy of incremental changes in order to create a higher value for used cars and to generate an additional benefit for new car customers.

USED CAR PRICE PREDICTION USING MACHINE LEARNING

2021 ◽  
Vol 1 (10) ◽  
pp. 246-251
Author(s):  
Himanshu Dahiya ◽  
Chetan Aggarwal ◽  
Shubh Goyal ◽  
Mini Agarwal
Keyword(s):  
Machine Learning ◽  
Price Prediction ◽  
Whole Process ◽  
Financial Conditions ◽  
Car Market ◽  
Car Sales ◽  
Used Car ◽  
Used Cars ◽  
Global Increase ◽  
The Many

Cars are an important asset and their importance has increased exponentially in our life. With the increase in the demand and growing needs, the production of cars has also increased. But due to inflation in the prices of new cars, there are people who still can only afford a used car due to their financial conditions. This whole process has given rise to the used car market, which is outperforming many other industries and is rising every day. The rising market for the used car has also resulted in a great increment in sales of Used Cars. Used Car Sales are on a global increase. But, determining the appropriate listing price of a used car is a challenging task, due to the many factors that drive prices of a used vehicle in the market. And that is why there is an urgent need for a system which can accurately predict the price of a used car. considering all the factors that affect the price of a used car. Keywords: Used Car Price Prediction, Linear Regression, XGBoost, Decision Tree

scholarly journals Quality Uncertainty Erodes Trust in Science

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Simine Vazire
Keyword(s):  
Quality Uncertainty ◽  
Scientific Publications ◽  
Design Data ◽  
The Public ◽  
Car Market ◽  
Economic Markets ◽  
Used Car ◽  
The Difference ◽  
Used Cars ◽  
The Aesthetic

When consumers of science (readers and reviewers) lack relevant details about the study design, data, and analyses, they cannot adequately evaluate the strength of a scientific study. Lack of transparency is common in science, and is encouraged by journals that place more emphasis on the aesthetic appeal of a manuscript than the robustness of its scientific claims. In doing this, journals are implicitly encouraging authors to do whatever it takes to obtain eye-catching results. To achieve this, researchers can use common research practices that beautify results at the expense of the robustness of those results (e.g., p-hacking). The problem is not engaging in these practices, but failing to disclose them. A car whose carburetor is duct-taped to the rest of the car might work perfectly fine, but the buyer has a right to know about the duct-taping. Without high levels of transparency in scientific publications, consumers of scientific manuscripts are in a similar position as buyers of used cars – they cannot reliably tell the difference between lemons and high quality findings. This phenomenon – quality uncertainty – has been shown to erode trust in economic markets, such as the used car market. The same problem threatens to erode trust in science. The solution is to increase transparency and give consumers of scientific research the information they need to accurately evaluate research. Transparency would also encourage researchers to be more careful in how they conduct their studies and write up their results. To make this happen, we must tie journals’ reputations to their practices regarding transparency. Reviewers hold a great deal of power to make this happen, by demanding the transparency needed to rigorously evaluate scientific manuscripts. The public expects transparency from science, and appropriately so – we should be held to a higher standard than used car salespeople.

scholarly journals Used Cars Price Prediction using Supervised Learning Techniques

2019 ◽  
Vol 9 (1S3) ◽  
pp. 216-223
Keyword(s):  
Machine Learning Algorithms ◽  
Lasso Regression ◽  
Passenger Cars ◽  
Price Prediction ◽  
The Past ◽  
Car Market ◽  
Learning Techniques ◽  
Used Car ◽  
Consumer Data ◽  
Used Cars

The production of cars has been steadily increasing in the past decade, with over 70 million passenger cars being produced in the year 2016. This has given rise to the used car market, which on its own has become a booming industry. The recent advent of online portals has facilitated the need for both the customer and the seller to be better informed about the trends and patterns that determine the value of a used car in the market. Using Machine Learning Algorithms such as Lasso Regression, Multiple Regression and Regression trees, we will try to develop a statistical model which will be able to predict the price of a used car, based on previous consumer data and a given set of features. We will also be comparing the prediction accuracy of these models to determine the optimal one.

scholarly journals Time Perspective and the Risk of Developing Burnout: An Empirical Study among Different Blue-Collar Workers in Spain

2021 ◽  
Vol 13 (6) ◽  
pp. 3271 ◽  
Author(s):  
Adela Reig-Botella ◽  
Sarah Detaille ◽  
Miguel Clemente ◽  
Jaime López-Golpe ◽  
Annet de Lange
Keyword(s):  
Emotional Exhaustion ◽  
Time Perspective ◽  
Maslach Burnout Inventory ◽  
Future Time Perspective ◽  
Blue Collar ◽  
Control Group ◽  
Northern Spain ◽  
Blue Collar Workers ◽  
The Mean ◽  
Student’S T

The purpose of this research was to analyze the relationship between the time perspective of Spanish shipyard workers in relation to burnout compared to other blue-collar workers in other sectors, including a total of 644 participants in a shipyard in northern Spain and 223 workers in other sectors. The ages were between 20 and 69 (M = 46.14, SD = 10.98). We used the Spanish version of the Zimbardo Time Perspective Instrument (ZTPI) and the Maslach Burnout Inventory–General Survey (MBI-GS). The mean of the three reliability coefficients of the emotional exhaustion factor was 0.887. In respect to the five factors of the ZTPI questionnaire, the mean of those five coefficients was 0.86. A Student’s t-test for independent samples comparing shipyard naval workers vs. the control group in personality variables and burnout was used. The psychological difference between workers in the naval sector and those in other sectors is better predicted based on two variables: emotional exhaustion and professional efficacy. Workers in the naval sector have a higher risk of becoming burnt-out than workers in other sectors due to a negative past, present and future time perspective. This can be a consequence of constant understimulation and monotonous and repetitive work, as well as a lack of autonomy and social support at work.

Preventing Alcohol Use Problems among Blue-Collar Workers: A Field Test of the Working People Program

1996 ◽  
Vol 31 (3) ◽  
pp. 255-275 ◽  
Author(s):  
Royer F. Cook ◽  
Anita S. Back ◽  
James Trudeau
Keyword(s):  
Alcohol Use ◽  
Field Test ◽  
Blue Collar ◽  
Blue Collar Workers ◽  
Working People

A model of the used car market with lemons and leasing

2010 ◽  
Vol 42 (28) ◽  
pp. 3619-3627 ◽  
Author(s):  
Arif Sultan
Keyword(s):  
Car Market ◽  
Used Car

scholarly journals Do spatial differences in the personal car market reflect a centre-periphery structure? The case of Poland

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Bartłomiej Kołsut ◽  
Tadeusz Stryjakiewicz
Keyword(s):  
Spatial Accessibility ◽  
Car Ownership ◽  
Central Character ◽  
Correlation And Regression Analysis ◽  
Spatial Inequalities ◽  
Car Market ◽  
Spatial Differences ◽  
Level Of Economic Development ◽  
The Relationship ◽  
Distribution Of Income

Abstract Aim of the study A centre-periphery structure reflects spatial inequalities in the level of economic development of countries and regions. Most often, it provides a simplified picture of spatial distribution of income or spatial accessibility. In this study the authors try to identify the relationship between the level of centrality/peripherality of an area and selected features of the personal car market, using the case of Poland. Method In order to identify the relationship between the level of centrality/peripherality of an area and selected features of the peresonal car market, the correlation and regression analysis has been used. As a dependent variable the index of centrality/peripherality consisting of population and enterprise income has been calculated for all Polish communes (gminas). The features of the car market (independent variables) are: 1) car ownership (number of cars per 1000 inhabitants), 2) sales of new cars, 3) the import of second-hand cars, and 4) the average age of personal cars. Result The research confirmed a positive correlation between the index of centrality/peripherality (and hence the central character of the commune) and the sales of new automobiles, and a negative correlation with the average age of cars. There is no correlation between the level of centrality/peripherality of an area and the indicators of car ownership and the import of second-hand vehicles.

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