Narrow Replication of Serlenga and Shin (2007) gravity models of intra-EU trade: application of the CCEP-HT estimation in heterogeneous panels with unobserved common time-specific factors

2010 ◽  
Vol 25 (3) ◽  
pp. 505-506 ◽  
Author(s):  
Badi H Baltagi
Keyword(s):  
Gravity Models ◽  
Common Time ◽  
Specific Factors ◽  
Time Specific ◽  
Heterogeneous Panels

Grain Policies and Storage in Southern Germany: The Regensburg Hospital (17th-19th Centuries)

2018 ◽  
Vol 59 (2) ◽  
pp. 415-445
Author(s):  
Kathrin Pindl
Keyword(s):  
Early Modern ◽  
18Th Century ◽  
Early Modern Period ◽  
Analytical Scheme ◽  
Economic Decisions ◽  
Modern Period ◽  
Specific Factors ◽  
Time Specific ◽  
Time Invariant ◽  
And Storage

Abstract This paper is concerned with the storage policy of the citizens’ hospital of Regensburg in the Early Modern period (focus: 18th century). The main purpose consists of (1) a source-based micro-study that helps to derive insights into the mechanisms of how experiences and expectations have influenced decisions by a pre-modern institution, (2) an analytical scheme for describing and evaluating the process of decision-making based on narrative evidence, and (3) the suggestion of analytical categories. These should allow a differentiation between time-invariant human behaviour that determines economic decisions, and time-specific factors which can be used to separate possibly “pre-modern” patterns from seemingly modern-day capitalist economic performance.

scholarly journals HOW IMPORTANT IS INNOVATION? A BAYESIAN FACTOR-AUGMENTED PRODUCTIVITY MODEL BASED ON PANEL DATA

2016 ◽  
Vol 20 (8) ◽  
pp. 1987-2009 ◽  
Author(s):  
Georges Bresson ◽  
Jean-Michel Etienne ◽  
Pierre Mohnen
Keyword(s):  
Common Factors ◽  
Gdp Per Capita ◽  
Factor Productivity ◽  
Technology Infrastructure ◽  
Cross Sectional ◽  
Cross Sectional Dimension ◽  
Specific Factors ◽  
Per Capita ◽  
Bayesian Factor ◽  
Time Specific

This paper proposes a Bayesian approach to estimating a factor-augmented GDP per capita equation. We exploit the panel dimension of our data and distinguish between individual-specific and time-specific factors. On the basis of 21 technology, infrastructure, and institutional indicators from 82 countries over a 19-year period (1990 to 2008), we construct summary indicators of each of these three components in the cross-sectional dimension and an overall indicator of all 21 indicators in the time-series dimension and estimate their effects on growth and international differences in GDP per capita. For most countries, more than 50% of GDP per capita is explained by the four common factors we have introduced. Infrastructure is the greatest contributor to total factor productivity, followed by technology and institutions.

scholarly journals Gravity models of interprovincial migration flows in Canada with hierarchical multifactor structure

2020 ◽  
Author(s):  
Laura Serlenga ◽  
Yongcheol Shin
Keyword(s):  
Three Dimensional ◽  
Gravity Models ◽  
Panel Data Models ◽  
Long Run ◽  
Heterogeneous Effects ◽  
Interprovincial Migration ◽  
Country Factors ◽  
Multilateral Resistance ◽  
Specific Factors ◽  
Migration Flows

Abstract Following recent contributions on migration flows, we contribute to the literature by relaxing restrictions on how multilateral resistance to migration (MRM) may affect province-pair-specific migration flows. We follow recent advancements in the three-dimensional (3D) panel data models with a hierarchical multifactor structure and develop the more flexible specification for MRM. In addition to including unobserved global (country) factors with province-pair-specific coefficients, we can control for local origin (destination)-specific factors that have heterogeneous effects on destinations (origins). We apply the 3DCCE estimator advanced by Kapetanios et al. (J Econom, 2020) to an analysis of the determinants of interprovincial migration flows in Canada from 1976 to 2014. In particular, we find that the recent rise in the internal migration flows, registered in Canada from 2009 onwards, is more likely to be associated with the relative income inequality and network presence rather than the conventional long-run determinants such as income and unemployment differentials.

scholarly journals The Decline of Small Cities: Increased Competition from External Shopping Malls or Long-Term Negative Trends?

2021 ◽  
pp. 016001762110341
Author(s):  
Sven-Olov Daunfeldt ◽  
Oana Mihaescu ◽  
Niklas Rudholm
Keyword(s):  
Fixed Effects ◽  
Labour Productivity ◽  
Shopping Malls ◽  
Small Cities ◽  
Common Time ◽  
Economic Trends ◽  
Time Specific ◽  
The Impact ◽  
City Centres

We use the entry of 17 external shopping malls in Sweden to investigate how they have affected the performance of incumbent firms located in the city centres of small cities. Estimating a traditional fixed effects regression model while controlling for firm-specific heterogeneity, we find that entry by external shopping malls decreased the labour productivity of incumbent firms in city centres by 5.31%. Revenues decrease by 6.62%, while the reduction in the number of employees (0.45%) is small and not significantly different from zero. However, using time-specific fixed effects to control for common time trends in retailing in small cities, we find that the impact on labour productivity, revenues and the number of employees due to the entry of external shopping malls becomes insignificant. Thus, incumbent firms in small cities have a negative development path mainly due to long-term economic trends, possibly because of the combination of urbanization effects and a lack of local investments.

scholarly journals Estimation of the Brazilian Consumer Demand System

2003 ◽  
Vol 23 (2) ◽  
pp. 255 ◽  
Author(s):  
Seki Asano ◽  
Eduardo P. S. Fiuza
Keyword(s):  
Consumer Demand ◽  
Commodity Prices ◽  
Demand System ◽  
Data Set ◽  
Consumer Demand System ◽  
Expenditure Data ◽  
Price Indexes ◽  
Specific Factors ◽  
Time Specific ◽  
Regional Cost

In this study we estimate the Brazilian consumer demand system through family expenditure data, which cover all consumption categories. The model is estimated from family-level expenditures on seven consumption categories, and a new set of regional cost-of-living indexes. The sources for expenditures are the national household expenditure surveys (POFs) conducted in 1987/88 and 1995/96, which collected data from eleven metropolitan areas. To the best of our knowledge this is the first study of this type and extent based on both waves of POF. Corresponding price indexes were constructed from detailed commodity prices, also from each metropolitan area. The salient features of our study are 1) price variations come from both time and regional differences, which allows us to estimate price elasticities with high precision, 2) we have large variations in income (total expenditures), which is rarely available in aggregate data, and 3) we control for time specific factors by exploiting the panel structure of the data set.

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