scholarly journals Panel Data Estimation Techniques and Mark Up Ratios

2014 ◽  
Vol XVII (Issue 1) ◽  
pp. 69-84
Author(s):  
Michael
Keyword(s):  
Panel Data ◽  
Estimation Techniques ◽  
Panel Data Estimation ◽  
Panel Data Estimation Techniques ◽  
Data Estimation

scholarly journals County-Level Impacts of Rail Line Abandonments: A Kansas Case Study

2010 ◽  
Author(s):  
James Sanderson ◽  
Michael W. Babcock
Keyword(s):  
Panel Data ◽  
Initial Period ◽  
Time Lag ◽  
County Level ◽  
Panel Data Estimation ◽  
Panel Data Estimation Techniques ◽  
Rail Line ◽  
On Line ◽  
Data Estimation

This article describes the use of econometric panel data techniques to estimate the effects of rail line abandonments at the county level. The article presents the economic theory that indicates how abandonments will affect local communities. Data were collected on line abandonments and several economic measures for counties in Kansas. Panel data estimation techniques were used to provide estimates of the effects for rural, urban and metropolitan counties. Results indicate that abandonments produce an initial period of economic growth that may be temporary for some counties. Results also indicate that any adverse impacts appear with a time lag of a few years.

scholarly journals Exchange Rate Volatility and Domestic Consumption: A Comparative Study of Developed, Developing and Emerging Economies

2019 ◽  
Vol 9 (3) ◽  
pp. 164
Author(s):  
Muhammad Zubair Chishti ◽  
Hafiz Syed Muhammad Azeem ◽  
Farrukh Mahmood ◽  
Adeel Ahmed Sheikh
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Developing Economies ◽  
Exchange Rate Volatility ◽  
Domestic Consumption ◽  
Aggregate Consumption ◽  
Developed Economies ◽  
Panel Data Estimation ◽  
The Exchange Rate ◽  
Data Estimation

The current study endeavors to explore the effects of oscillations in the exchange rate on the household aggregate consumption of developed, emerging, and developing economies, employing the panel data from 1995 to 2017. To select an appropriate panel data estimation technique, we apply Brush-Pagan & Hausman Tests for each set of chosen economies. Further, our study deduces that, in the case of developed economies, the oscillations in the exchange rate, significantly, affect the domestic consumption, supporting Alexander’s (1952) conjecture. However, in the case of emerging and developing economies, aggregate consumption does not respond to the exchange rate volatility.

Infrastructure and Tourism Development

2017 ◽  
pp. 224-237
Author(s):  
Sourav Kumar Das ◽  
Tonmoy Chatterjee
Keyword(s):  
Tourism Development ◽  
Economic Reforms ◽  
Infrastructure Development ◽  
Indian States ◽  
Resource Potential ◽  
Panel Data Estimation ◽  
Panel Data Estimation Techniques ◽  
The Common ◽  
Data Estimation ◽  
Budgetary Allocation

Infrastructure is not the engine but the wheels of economic development. Since the onset of economic crisis, followed by economic reforms, the importance of infrastructure development has been emphasised through policy, pronouncements, higher budgetary allocation of funds, formation of Infrastructure development, etc. It opens out a region by providing an access to its tourist places. In its absence, the resource potential for tourism can't be of any benefit. In addition to the common infrastructure tourism development requires special infrastructures, which is growing importance to India and foreign tourists in recent years. This chapter tries to investigate the significance of infrastructure as a factor in tourism development by applying panel data estimation techniques upon 27 Indian States for the period 2005-2015 and finds that the infrastructure has been contributing positively to tourist arrivals, particularly from India and abroad. Apart from this we have also shown that tourist arrivals from host along with infrastructure expenditure will affect Indian tourism in a positive manner.

scholarly journals Explaining Tourism Inflows in Greece: A Macroeconometric Approach

2016 ◽  
Vol 8 (4) ◽  
pp. 192 ◽  
Author(s):  
George Agiomirgianakis ◽  
George Sfakianakis
Keyword(s):  
Cross Sections ◽  
Model Fit ◽  
Relative Price ◽  
Explanatory Variables ◽  
Panel Data Estimation ◽  
Panel Data Estimation Techniques ◽  
Macroeconomic Indicators ◽  
Greek Economy ◽  
Disaggregated Data ◽  
Data Estimation

This paper investigates the determinants of tourism inflows to Greece. The significance of the specific sector for the Greek economy varies from 15% to 20% of GDP (measured directly or indirectly respectively). Building on the existing literature, panel data estimation techniques are used, with explanatory variables including selected macroeconomic indicators and (relative) price indices. The main innovation of the paper is that, regarding the cross section dimension of the sample, disaggregated data based on the country (or area) of origin are used, combined with the corresponding macroeconomic aggregates. The time-span of the data is the 2004-2010 period, with the specific econometric techniques used taking into account both the statistical properties of variables and the differences between the various cross sections. The main conclusion of the paper is that the macroeconometric approach to explaining tourist arrivals provides a very satisfactory model fit, with explanatory variables explaining a significant part of the variability of the dependent variable.

Forced Displacement in Colombia: What Determines Expulsion and Reception in Municipalities?

2014 ◽  
Vol 20 (4) ◽  
pp. 585-597 ◽  
Author(s):  
Ximena Dueñas ◽  
Paola Palacios ◽  
Blanca Zuluaga
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Independent Variables ◽  
Panel Data Estimation ◽  
Vector Decomposition ◽  
Displaced People ◽  
Time Invariant ◽  
Data Estimation ◽  
Conflict Intensity ◽  
Municipal Level

AbstractThis document explores the expulsion and reception determinants of displaced people among Colombian municipalities. For this purpose, we use fixed effects panel data estimations for the period 2004–2009, with municipality year as the unit of analysis. To the best of our knowledge, this is the first paper in Colombia that focuses on reception and the first one using panel data at municipal level to explain expulsion and reception. We find that, contrary to what one may expect, some independent variables affect both expulsion and reception of displaced people in the same direction; for instance, municipalities where homicide rates and conflict intensity are high, are associated with both higher reception and expulsion rates. In addition to the conventional panel data estimation, we also run a fixed effect vector decomposition to identify the explicit effects of certain time-invariant variables.

Sign in / Sign up

Export Citation Format

Share Document