The Demand for Alcoholic Beverages: An Aggregate Time-Series Analysis

1985 ◽  
Vol 4 (1) ◽  
pp. 47-54 ◽  
Author(s):  
David Levy ◽  
Neil Sheflin
Keyword(s):  
Time Series ◽  
Alcohol Consumption ◽  
Time Series Data ◽  
Income Elasticity ◽  
Alcoholic Beverages ◽  
Series Data ◽  
Sample Period ◽  
Weak Evidence ◽  
Price Effects ◽  
Alternative Measures

We estimate the total demand for alcoholic beverages with annual U. S. time-series data from 1940–80 using two alternative measures of alcohol consumption. By concentrating on the total demand for alcoholic beverages we subsume the cross-price effects. Our results indicate a price elasticity of (minus)0.5 and an income elasticity of 0.4 and weak evidence of a somewhat higher propensity to consume alcoholic beverages by those under 21. After correcting for heteroskedasticity, the estimates are found to be statistically stable over the sample period.

Terrorism and Wine Tourism: The Case of Museum Attendance

2018 ◽  
Vol 13 (4) ◽  
pp. 375-383 ◽  
Author(s):  
Olivier Gergaud ◽  
Florine Livat ◽  
Haiyan Song
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Terrorist Attacks ◽  
Series Data ◽  
Regression Estimation ◽  
Sample Period ◽  
Wine Tourism ◽  
The Impact ◽  
The City ◽  
Jel Classifications

AbstractIn this article, we use attendance data from La Cité du Vin, a wine museum in the city of Bordeaux, to assess the impact of the recent wave of terror that affected France on wine tourism. We use recent count regression estimation techniques suited for time series data to build a prediction model of the demand for attendance at this museum. We conclude that the institution lost about 5,000 visitors over 426 days, during which 14 successive terrorist attacks took place. This corresponds to almost 1% of the total number of visitors in the sample period. (JEL Classifications: L83, Z30)

Testing Increasing Sensitivity of Enrollment at Private Institutions to Tuition and other Costs

1996 ◽  
Vol 40 (1) ◽  
pp. 40-45 ◽  
Author(s):  
Yu Hsing ◽  
Hui S. Chang
Keyword(s):  
Higher Education ◽  
Time Series ◽  
Functional Form ◽  
Time Series Data ◽  
Series Data ◽  
Standard Errors ◽  
Private Institutions ◽  
Test Statistics ◽  
Sample Period ◽  
Income Elasticities

This paper re-examines the demand for higher education at private institutions and tests if in recent years enrollment has become more sensitive to rising tuition and other related costs. Time series data between FY 1964–65 and FY 1990–91 are used as the sample. Major findings are interesting. The general functional form yields coefficients with smaller standard errors and larger value of the test statistics. The logarithmic form can be rejected at the 5% level. Tuition elasticities rose from −0.261 to −0.557 and income elasticities also increased from 0.493 to 1.093 during the sample period. Thus, enrollment has become more sensitive to changes in tuition and other costs. However, part of the loss of enrollment due to tuition increases can be recovered by rising income elasticities.

scholarly journals Effects of economic factors on alcohol consumption in 14 European countries

2001 ◽  
Vol 18 (1_suppl) ◽  
pp. 100-116 ◽  
Author(s):  
Kalervo Leppänen ◽  
Risto Sullström ◽  
Ilpo Suoniemi
Keyword(s):  
Alcohol Consumption ◽  
Time Series Data ◽  
Consumer Preferences ◽  
European Countries ◽  
Alcoholic Beverages ◽  
Series Data ◽  
Economic Factors ◽  
Total Expenditure ◽  
Absolute Alcohol ◽  
Specific Level

Kalervo Leppänen & Risto Sullström & Ilpo Suoniemi: Effects of economic factors on alcohol consumption in 14 European countries This paper analyses time series data on alcohol consumption in 14 European countries. Flexible models of alcohol consumption using quantity index data and absolute alcohol in litres per adult have been specified to find similarities in consumer preferences. The SURE method and Wald test were used to estimate and test for common parameters across the countries and to obtain the corresponding restricted estimates. We also constructed comparable price indices for alcoholic beverages and total expenditure variables in order to capture differences between the countries in price levels and the consumers' purchasing power. The hypothesis of common preferences was clearly rejected by the data. Total expenditure affects the demand for alcohol equally across the countries and the price parameters are equal within the three groups, i.e. the monopoly countries, wine producers and other countries with the exception of the Netherlands. The common estimate of the expenditure parameter suggests that alcoholic beverages are considered to be normal goods rather than luxuries. The demand for alcoholic beverages is more easily controllable by excise taxes in the monopoly countries than elsewhere. In the wine-producing countries demand is relatively price inelastic. The value of the price elasticity indicates that taxes have not been set at their revenue-maximizing levels in the monopoly countries. Analysis of absolute alcohol consumption revealed that the country-specific level constants were the major factor in explaining the difference among the countries. Economic variables, the price of alcohol and total expenditure played a subsidiary yet important role.

scholarly journals ANALISIS PERMINTAAN TELUR AYAM DI KABUPATEN MAGETAN

2018 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Nia Fridayanti ◽  
Siti Marwanti ◽  
Ernoiz Antriyandarti
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Income Elasticity ◽  
Chicken Meat ◽  
Series Data ◽  
Meat Price ◽  
Chicken Egg ◽  
Rice Price ◽  
Inferior Good ◽  
Per Capita

This research aims to identify and to analyze the variables which influenced the chicken egg demand in Magetan District and to know its elasticity. This research used descriptive and analytical method. The research location was chosen purposively in Magetan. By using 27 years time series data, this study applied Cobb Douglass demand functing with OLS method. The results showed that the price of chicken egg race, chicken meat price, rice price, population and income per capita have significant effect on chicken egg demand in Magetan District. Race egg price has inelastic elasticity since its value is negative (-0,280). Chicken meat price has subtitute elasticity since its value is positive (0,911). Rice price has complementary elasticity since its value is negative (-0,233). Income elasticity has a negative (-0,476) value means that chicken egg is an inferior good for Magetan District.

scholarly journals The demand for beer in Czech Republic: inderstanding longrun on- and off-trade price elasticities

2017 ◽  
Vol 35 (No. 2) ◽  
pp. 165-170 ◽  
Author(s):  
Grosová Stanislava ◽  
Masár Michal ◽  
Kutnohorská Olga ◽  
Kubeš Vladimír
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Time Series Data ◽  
Income Elasticity ◽  
Econometric Models ◽  
Series Data ◽  
Empirical Results ◽  
Income Elasticities ◽  
Beer Consumption ◽  
Price And Income Elasticities

We provided estimates of price, cross-price, and income elasticities for on- and off-trade beer consumption using econometric models on time series data from 1994 to 2014. The empirical results indicate that the most important determinants of on-trade demand are the price of off-trade beer, the price of substitutes and past consumption, while the income elasticity was not found to be important. The most important determinants of off-trade beer demand were the price of on-trade beer and the price of substitutes.

scholarly journals Total New Hiv Infections In Gabon: A Box-Jenkins Arima Approach

2020 ◽  
Vol 3 (10) ◽  
pp. 1-5
Author(s):  
Smartson. P. NYONI ◽  
Thabani NYONI
Keyword(s):  
Time Series ◽  
Diagnostic Tests ◽  
Time Series Data ◽  
Hiv Infections ◽  
Series Data ◽  
Sample Period ◽  
Out Of Sample ◽  
Annual Time Series ◽  
Parsimonious Model ◽  
Annual Time

Using annual time series data on the total number of new HIV infections in Gabon from 1990 – 2018, the study makes predictions for the period 2019 – 2030. The paper employs the Box-Jenkins ARIMA methodology. The diagnostic ADF tests show that, H, the series under consideration is an I (1) variable. Based on the AIC, the study presents the ARIMA (1, 1, 0) model as the parsimonious model. The diagnostic tests further reveal that the presented model is very stable and its residuals are not serially correlated. The results of the study indicate that the total number of new HIV infections in Gabon is likely to continue declining over the out-of-sample period.

scholarly journals Measuring Growth of the Nonprofit Sector: The Choice of Indicator Matters

2018 ◽  
Vol 48 (2) ◽  
pp. 440-456 ◽  
Author(s):  
Astrid Pennerstorfer ◽  
Alasdair C. Rutherford
Keyword(s):  
Time Series ◽  
Nonprofit Organizations ◽  
Time Series Data ◽  
Nonprofit Sector ◽  
Series Data ◽  
Single Measure ◽  
Alternative Measures

Interestingly, although many authors consent that nonprofit organizations and the nonprofit sector have grown in many countries, there is little discussion of how to best measure this growth. Looking at the broad universe of nonprofit organizations, there is no single measure that is relevant for the whole sector and captures changes adequately. This article gives an overview of commonly-used growth measures in the existing nonprofit literature and discusses the informative value of the various measures. Using Austrian and Scottish time-series data, we present an empirical example of how the growth story of the nonprofit sector can change depending on the measures used. The correlations between measures such as the number of organizations, income/expenditures, and assets are particularly small. We recommend that researchers measuring the growth of the nonprofit sector should be clear about the properties of their selected measure, and where possible should present alternative measures in their analysis.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

2016 ◽  
Vol 136 (3) ◽  
pp. 363-372
Author(s):  
Takaaki Nakamura ◽  
Makoto Imamura ◽  
Masashi Tatedoko ◽  
Norio Hirai
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Detection Method ◽  
Series Data
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