scholarly journals Assessment of the impact of macroeconomic factors on housing price level: Lithuanian case

2016 ◽  
Vol 10 (2) ◽  
pp. 122-127 ◽  
Author(s):  
Ligita Gasparėnienė ◽  
Rita Remeikienė ◽  
Arjan Skuka
Keyword(s):  
Price Level ◽  
Housing Price ◽  
Macroeconomic Factors ◽  
The Impact

scholarly journals The influence of macroeconomic factors on the tax on mining

2020 ◽  
pp. 19-23
Author(s):  
М.Н. Шмакова
Keyword(s):  
Factor Analysis ◽  
Price Level ◽  
Tax Incentives ◽  
Tax Rates ◽  
Tax Base ◽  
Macroeconomic Factors ◽  
Average Value ◽  
Tax Revenues ◽  
Tax Benefits ◽  
The Impact

Статья посвящена выявлению факторных признаков налоговых поступлений по налогу на добычу полезных ископаемых в целях оценки их влияния на прирост поступлений по налогу. В статье представлены результаты факторного анализа, который позволил оценить воздействие факторов на величину результативного показателя, а именно – налоговых поступлений по НДПИ, и выделить среди предложенных факторных признаков статистически значимые, такие как налоговая база, базовые ставки, налоговые льготы, для поступлений от добычи нефти – уровень цен нефти сорта "Юралс", среднее значение курса доллара и налоговые льготы. The article is devoted to the identification of factor characteristics of tax on mining in order to assess their impact on the growth of revenues. The article presents the results of the factor analysis which allowed to assess the impact of factors on a productive indicator, namely tax revenues for severance tax and to allocate among the proposed factor variables are statistically significant, such as tax base, tax rates, tax benefits, and income from oil yet the price level of oil "Urals", the average value of the dollar and tax incentives.

The Random Forest Method in Research of Impact of Macroeconomic Indicators of Regional Development on Informal Employment Rate

2020 ◽  
Vol 27 (6) ◽  
pp. 37-55
Author(s):  
E. V. Zarova ◽  
E. I. Dubravskaya
Keyword(s):  
Random Forest ◽  
Regional Development ◽  
Russian Federation ◽  
Regional Level ◽  
Informal Employment ◽  
Macroeconomic Factors ◽  
Random Forest Method ◽  
Macroeconomic Indicators ◽  
The Russian Federation ◽  
The Impact

The topic of quantitative research on informal employment has a consistently high relevance both in the Russian Federation and in other countries due to its high dependence on cyclicality and crisis stages in economic dynamics of countries with any level of economic development. Developing effective government policy measures to overcome the negative impact of informal employment requires special attention in theoretical and applied research to assessing the factors and conditions of informal employment in the Russian Federation including at the regional level. Such effects of informal employment as a shortfall in taxes, potential losses in production efficiency, and negative social consequences are a concern for the authorities of the federal and regional levels. Development of quantitative indicators to determine the level of informal employment in the regions, taking into account their specifics in the general spatial and economic system of Russia are necessary to overcome these negative effects. The article proposes and tests methods for solving the problem of assessing the impact of hierarchical relationships on macroeconomic factors at the regional level of informal employment in constituent entities of the Russian Federation. Majority of the works on the study of informal employment are based on basic statistical methods of spatial-dynamic analysis, as well as on the now «traditional» methods of cluster and correlation-regression analysis. Without diminishing the merits of these methods, it should be noted that they are somewhat limited in identifying hidden structural connections and interdependencies in such a complex multidimensional phenomenon as informal employment. In order to substantiate the possibility of overcoming these limitations, the article proposes indicators of regional statistics that directly and indirectly characterize informal employment and also presents the possibilities of using the «random forest» method to identify groups of constituent entities of the Russian Federation that have similar macroeconomic factors of informal employment. The novelty of this method in terms of research objectives is that it allows one to assess the impact of macroeconomic indicators of regional development on the level of informal employment, taking into account the implicit, not predetermined by the initial hypotheses, hierarchical relationships of factor indicators. Based on the generalization of the studies presented in the literature, as well as the authors’ statistical calculations using Rosstat data, the authors came to the conclusion about the high importance of macroeconomic parameters of regional development and systemic relationships of macroeconomic indicators in substantiating the differentiation of the informal level across the constituent entities of the Russian Federation.

scholarly journals Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods

2021 ◽  
Author(s):  
Sebastian Weinand
Keyword(s):  
Price Level ◽  
Consumer Price Index ◽  
Index Number ◽  
Price Data ◽  
Estimation Efficiency ◽  
Spatial Price ◽  
Price Comparisons ◽  
High Degree ◽  
The Impact

AbstractSpatial price comparisons rely to a high degree on the quality of the underlying price data that are collected within or across countries. Below the basic heading level, these price data often exhibit large gaps. Therefore, stochastic index number methods like the Country–Product–Dummy (CPD) method and the Gini–Eltetö–Köves–Szulc (GEKS) method are utilised for the aggregation of the price data into higher-level indices. Although the two index number methods produce differing price level estimates when prices are missing, the present paper demonstrates that both can be derived from exactly the same stochastic model. For a specific case of missing prices, it is shown that the formula underlying these price level estimates differs between the two methods only in weighting. The impact of missing prices on the efficiency of the price level estimates is analysed in two simulation studies. It can be shown that the CPD method slightly outperforms the GEKS method. Using micro data of Germany’s Consumer Price Index, it can be observed that more narrowly defined products improve estimation efficiency.

scholarly journals Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-In-Differences (SM-DID) Approach

2021 ◽  
Vol 13 (2) ◽  
pp. 804
Author(s):  
Jean Dubé ◽  
Maha AbdelHalim ◽  
Nicolas Devaux
Keyword(s):  
Housing Price ◽  
Hedonic Pricing ◽  
Environmental Amenities ◽  
Sale Price ◽  
Difference In Differences ◽  
Hedonic Pricing Model ◽  
The Difference ◽  
And Control ◽  
The Impact ◽  
The City

Many applications have relied on the hedonic pricing model (HPM) to measure the willingness-to-pay (WTP) for urban externalities and natural disasters. The classic HPM regresses housing price on a complete list of attributes/characteristics that include spatial or environmental amenities (or disamenities), such as floods, to retrieve the gradients of the market (marginal) WTP for such externalities. The aim of this paper is to propose an innovative methodological framework that extends the causal relations based on a spatial matching difference-in-differences (SM-DID) estimator, and which attempts to calculate the difference between sale price for similar goods within “treated” and “control” groups. To demonstrate the potential of the proposed spatial matching method, the researchers present an empirical investigation based on the case of a flood event recorded in the city of Laval (Québec, Canada) in 1998, using information on transactions occurring between 1995 and 2001. The research results show that the impact of flooding brings a negative premium on the housing price of about 20,000$ Canadian (CAN).

scholarly journals Modeling and Estimating Volatility of Day-Ahead Electricity Prices

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 750
Author(s):  
Sherzod N. Tashpulatov
Keyword(s):  
Heavy Tails ◽  
Price Level ◽  
Power Market ◽  
Error Distribution ◽  
Electricity Prices ◽  
Volatility Model ◽  
Generalized Error Distribution ◽  
Student’S T ◽  
The Uk ◽  
The Impact

We model day-ahead electricity prices of the UK power market using skew generalized error distribution. This distribution allows us to take into account the features of asymmetry, heavy tails, and a peak higher than in normal or Student’s t distributions. The adequacy of the estimated volatility model is verified using various tests and criteria. A correctly specified volatility model can be used for analyzing the impact of reforms or other events. We find that, after the start of the COVID-19 pandemic, price level and volatility increased.

Macro-economic Factors Influencing Tourism Entrepreneurship: The Case of Kazakhstan

2021 ◽  
pp. 097135572098143
Author(s):  
Aizhan Tleuberdinova ◽  
Zhanat Shayekina ◽  
Dinara Salauatova ◽  
Stephen Pratt
Keyword(s):  
Economic Development ◽  
Emerging Economies ◽  
Negative Relationship ◽  
National Income ◽  
Tourism Development ◽  
Entrepreneurial Activity ◽  
Macroeconomic Factors ◽  
Distributed Lag ◽  
Tourism Sector ◽  
The Impact

Tourism development contributes to economic development. In emerging economies like Kazakhstan, tourism development needs active entrepreneurship. As the country emerges from the post-Soviet era, there has been an increase in economic development and prosperity. Entrepreneurship in the tourism sector can drive economies forward through the creation of new tourism and hospitality businesses. The macroeconomic environment can influence entrepreneurial activity. We use an autoregressive distributed lag (ARDL) model to examine the impact of macroeconomic factors on tourism entrepreneurship in Kazakhstan. Using data from 1996 to 2018, we find that there is a positive short-run relationship between wages in the tourism sector and entrepreneurship, suggesting that wage growth in the sector attracts entrepreneurs. In the long run, however, tourism sector wages have a negative relationship with entrepreneurship, suggesting that these higher wages represent a higher cost to entrepreneurship. There is also a strong positive relationship between national income and tourism entrepreneurship in Kazakhstan. Implications of macroeconomic policy changes for Kazakhstan and other emerging economies are discussed.

scholarly journals The impact of COVID-19 on housing price: Evidence from China

2021 ◽  
pp. 101944
Author(s):  
Xianhang Qian ◽  
Shanyun Qiu ◽  
Guangli Zhang
Keyword(s):  
Housing Price ◽  
The Impact

The Impact of Macroeconomic Factors on Environmental Loss Ratio: Evidence from Taiwanese Insurance Data

2018 ◽  
Vol 21 (03) ◽  
pp. 1850020
Author(s):  
Li-Hua Lai ◽  
Ching-Hao Chen ◽  
Tung-Cheng Chang
Keyword(s):  
Input Data ◽  
Economic Loss ◽  
Environmental Condition ◽  
Loss Ratio ◽  
Negative Effects ◽  
Macroeconomic Factors ◽  
Macroeconomic Factor ◽  
Environmental Loss ◽  
The Impact ◽  
Insurance Data

Environmental insurance (EI) protections help resolve the firm-industry economic loss problem. However, the loss ratio of EI is positively affected by itself from one period ahead. The positive and negative effects of macroeconomic factor on the loss ratio of EIs are not necessarily consistent, but they are dependent on the effect of the year’s environmental condition. The economic variables affecting the loss ratio of EI are quite inconsistent, so insurance prices and liability reserves should be modified every year. While the investigations are the special properties of our input data of Taiwan, the prescription of this paper could provide cross-references with other countries.

scholarly journals Consumer Satisfaction on Online Services in Kosovo

2019 ◽  
Vol 22 (s2) ◽  
pp. 39-53
Author(s):  
Besim Beqaj ◽  
Arta Krasniqi ◽  
Valon Beqaj
Keyword(s):  
Consumer Satisfaction ◽  
Consumer Behaviour ◽  
Price Level ◽  
Care Delivery ◽  
Demographic Variables ◽  
Delivery Time ◽  
Online Services ◽  
Independent Variables ◽  
Customer Care ◽  
The Impact

Abstract This paper aims to analyse and examine consumer behaviour based on different variables (age, gender, level of education, income, customer care, delivery time), and the impact of those variables on consumer satisfaction on domestic and foreign online services in Kosovo. The data represented in the paper have been collected on 2017 and 2019. The majority of demographic variables (except gender and income) as independent variables have shown to be significant in explaining consumer satisfaction from online services. On the contrary, the level of customers’ gender and income have shown to be statistically insignificant (p=0.143 and p=0.264 respectively; where α=5%). In addition, income has shifted from being insignificant in 2017 to significant in 2019. It can be inferred that the strongest correlation has shifted towards the price level of the 4 P’s of Marketing with total customer satisfaction from online services (r=.996), followed by customer care (r=.990).

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