Suchergebnisse

In recent years analysis of economic loss a!ributed to di\"erent aspects of shadow economy has a!racted much a!ention of both academics and policy makers. Recent statistical data shows that new member states have on average a 9 percent higher VAT gap than the older members of the European Union. Knowing that economies of emerging markets rely on the VAT for a substantially higher percentage of their government revenues, it is very important to understand the determinants limiting revenue mobilization in those countries. In Lithuania, the VAT gap increased dramatically a#er the crisis of 2008 , and now is one of the largest in the EU. However, few studies have empirically tested some hypotheses about the VAT as a revenue-raising instrument in the country. $e purpose of this study is to identify the determinants signi%cantly in&uencing the size of the VAT gap in Lithuania using the MIMIC method for quarterly data of the period 2000-2013. $e applied MIMIC model indicated that two factors (General government consumption expenditure and in&ation) have a statistically signi%cant impact on the VAT gap in the long-run. $e results of the eMIMIC model show that two determinants (in&ation and household deposits) have a statistically signi%cant in&uence on the gap in the short-run. $e authors believe that the key %ndings of the study can be used as one of the supporting tools in adjusting Lithuanian pro-growth tax policy and improving administration of VAT taxes.

In recent years analysis of economic loss a!ributed to di\"erent aspects of shadow economy has a!racted much a!ention of both academics and policy makers. Recent statistical data shows that new member states have on average a 9 percent higher VAT gap than the older members of the European Union. Knowing that economies of emerging markets rely on the VAT for a substantially higher percentage of their government revenues, it is very important to understand the determinants limiting revenue mobilization in those countries. In Lithuania, the VAT gap increased dramatically a#er the crisis of 2008 , and now is one of the largest in the EU. However, few studies have empirically tested some hypotheses about the VAT as a revenue-raising instrument in the country. $e purpose of this study is to identify the determinants signi%cantly in&uencing the size of the VAT gap in Lithuania using the MIMIC method for quarterly data of the period 2000-2013. $e applied MIMIC model indicated that two factors (General government consumption expenditure and in&ation) have a statistically signi%cant impact on the VAT gap in the long-run. $e results of the eMIMIC model show that two determinants (in&ation and household deposits) have a statistically signi%cant in&uence on the gap in the short-run. $e authors believe that the key %ndings of the study can be used as one of the supporting tools in adjusting Lithuanian pro-growth tax policy and improving administration of VAT taxes.

Solid theoretical reasons exist for the link between demographics and various economic, financial and social indicators. The aim of this article is to assess the influence of demographic shifts on investment fund flows in the EU from 1996 to 2013. In order to achieve this aim, a fixed effects model is constructed via panel regression and used to test the hypothesis as well as to derive conclusions. The authors hypothesise the presence of a statistically significant non-linear effect of demographic age shares on investment fund flows. The results are juxtaposed with a prior comparable research. This article is expected to benefit the financial sector and to provide guidance to market regulators.

Solid theoretical reasons exist for the link between demographics and various economic, financial and social indicators. The aim of this article is to assess the influence of demographic shifts on investment fund flows in the EU from 1996 to 2013. In order to achieve this aim, a fixed effects model is constructed via panel regression and used to test the hypothesis as well as to derive conclusions. The authors hypothesise the presence of a statistically significant non-linear effect of demographic age shares on investment fund flows. The results are juxtaposed with a prior comparable research. This article is expected to benefit the financial sector and to provide guidance to market regulators.

In recent years analysis of economic loss a!ributed to di\"erent aspects of shadow economy has a!racted much a!ention of both academics and policy makers. Recent statistical data shows that new member states have on average a 9 percent higher VAT gap than the older members of the European Union. Knowing that economies of emerging markets rely on the VAT for a substantially higher percentage of their government revenues, it is very important to understand the determinants limiting revenue mobilization in those countries. In Lithuania, the VAT gap increased dramatically a#er the crisis of 2008 , and now is one of the largest in the EU. However, few studies have empirically tested some hypotheses about the VAT as a revenue-raising instrument in the country. $e purpose of this study is to identify the determinants signi%cantly in&uencing the size of the VAT gap in Lithuania using the MIMIC method for quarterly data of the period 2000-2013. $e applied MIMIC model indicated that two factors (General government consumption expenditure and in&ation) have a statistically signi%cant impact on the VAT gap in the long-run. $e results of the eMIMIC model show that two determinants (in&ation and household deposits) have a statistically signi%cant in&uence on the gap in the short-run. $e authors believe that the key %ndings of the study can be used as one of the supporting tools in adjusting Lithuanian pro-growth tax policy and improving administration of VAT taxes.

Solid theoretical reasons exist for the link between demographics and various economic, financial and social indicators. The aim of this article is to assess the influence of demographic shifts on investment fund flows in the EU from 1996 to 2013. In order to achieve this aim, a fixed effects model is constructed via panel regression and used to test the hypothesis as well as to derive conclusions. The authors hypothesise the presence of a statistically significant non-linear effect of demographic age shares on investment fund flows. The results are juxtaposed with a prior comparable research. This article is expected to benefit the financial sector and to provide guidance to market regulators.

In recent years analysis of economic loss a!ributed to di\"erent aspects of shadow economy has a!racted much a!ention of both academics and policy makers. Recent statistical data shows that new member states have on average a 9 percent higher VAT gap than the older members of the European Union. Knowing that economies of emerging markets rely on the VAT for a substantially higher percentage of their government revenues, it is very important to understand the determinants limiting revenue mobilization in those countries. In Lithuania, the VAT gap increased dramatically a#er the crisis of 2008 , and now is one of the largest in the EU. However, few studies have empirically tested some hypotheses about the VAT as a revenue-raising instrument in the country. $e purpose of this study is to identify the determinants signi%cantly in&uencing the size of the VAT gap in Lithuania using the MIMIC method for quarterly data of the period 2000-2013. $e applied MIMIC model indicated that two factors (General government consumption expenditure and in&ation) have a statistically signi%cant impact on the VAT gap in the long-run. $e results of the eMIMIC model show that two determinants (in&ation and household deposits) have a statistically signi%cant in&uence on the gap in the short-run. $e authors believe that the key %ndings of the study can be used as one of the supporting tools in adjusting Lithuanian pro-growth tax policy and improving administration of VAT taxes.

Solid theoretical reasons exist for the link between demographics and various economic, financial and social indicators. The aim of this article is to assess the influence of demographic shifts on investment fund flows in the EU from 1996 to 2013. In order to achieve this aim, a fixed effects model is constructed via panel regression and used to test the hypothesis as well as to derive conclusions. The authors hypothesise the presence of a statistically significant non-linear effect of demographic age shares on investment fund flows. The results are juxtaposed with a prior comparable research. This article is expected to benefit the financial sector and to provide guidance to market regulators.

The impact of immigration on the labour market has become a very important subject of public and political debates in recent years. The aim of this study was to estimate the impact of immigration on the labour market of the United Kingdom in 1991–2010. Using a system of equations for immigration, unemployment, wage and gross domestic product, the structural vector error correction model and linear regression models were developed. The application of the structural vector error correction model has shown that immigration has a negative impact on the country's labour market in the short run as it reduces real wages and increases unemployment. The linear regression models have indicated that immigration, ceteris paribus, negatively influences unemployment and real wages in the long run.

The impact of immigration on the labour market has become a very important subject of public and political debates in recent years. The aim of this study was to estimate the impact of immigration on the labour market of the United Kingdom in 1991–2010. Using a system of equations for immigration, unemployment, wage and gross domestic product, the structural vector error correction model and linear regression models were developed. The application of the structural vector error correction model has shown that immigration has a negative impact on the country's labour market in the short run as it reduces real wages and increases unemployment. The linear regression models have indicated that immigration, ceteris paribus, negatively influences unemployment and real wages in the long run.

The impact of immigration on the labour market has become a very important subject of public and political debates in recent years. The aim of this study was to estimate the impact of immigration on the labour market of the United Kingdom in 1991–2010. Using a system of equations for immigration, unemployment, wage and gross domestic product, the structural vector error correction model and linear regression models were developed. The application of the structural vector error correction model has shown that immigration has a negative impact on the country's labour market in the short run as it reduces real wages and increases unemployment. The linear regression models have indicated that immigration, ceteris paribus, negatively influences unemployment and real wages in the long run.

The impact of immigration on the labour market has become a very important subject of public and political debates in recent years. The aim of this study was to estimate the impact of immigration on the labour market of the United Kingdom in 1991–2010. Using a system of equations for immigration, unemployment, wage and gross domestic product, the structural vector error correction model and linear regression models were developed. The application of the structural vector error correction model has shown that immigration has a negative impact on the country's labour market in the short run as it reduces real wages and increases unemployment. The linear regression models have indicated that immigration, ceteris paribus, negatively influences unemployment and real wages in the long run.

In the modern world of globalization, emigration has become one of the most vital events that should be reflected in the population statistics due to its impact on the size and structure of the country's population. The importance of correct evaluation of emigration is very high because, by influencing the efficiency of government policy making, it can help to avoid the negative consequences of emigration. However, many national statistical institutions of different countries fail to provide accurate statistics on emigration because of various obstacles which arise in the usage of administrative data sources. Politicians, researchers and experts engaged in the analysis of demographic development and the migration phenomenon are especially not satisfied with the amount and quality of the current statistical information provided by the official statistics. One of the important tasks for every NSI is not only to reflect the stocks and flows of emigrants, but also to provide their demographic and socioeconomic characteristics for the in-depth analysis of the determinants and consequences of emigration. Unfortunately, administrative data sources are usually unable to provide reliable statistics on the volume of undeclared emigration as well as on the characteristics of emigrants. Thus, the article discusses the benefits of conducting household surveys for obtaining information about characteristics of emigrants and filling this gap.

In the modern world of globalization, emigration has become one of the most vital events that should be reflected in the population statistics due to its impact on the size and structure of the country's population. The importance of correct evaluation of emigration is very high because, by influencing the efficiency of government policy making, it can help to avoid the negative consequences of emigration. However, many national statistical institutions of different countries fail to provide accurate statistics on emigration because of various obstacles which arise in the usage of administrative data sources. Politicians, researchers and experts engaged in the analysis of demographic development and the migration phenomenon are especially not satisfied with the amount and quality of the current statistical information provided by the official statistics. One of the important tasks for every NSI is not only to reflect the stocks and flows of emigrants, but also to provide their demographic and socioeconomic characteristics for the in-depth analysis of the determinants and consequences of emigration. Unfortunately, administrative data sources are usually unable to provide reliable statistics on the volume of undeclared emigration as well as on the characteristics of emigrants. Thus, the article discusses the benefits of conducting household surveys for obtaining information about characteristics of emigrants and filling this gap.

In the modern world of globalization, emigration has become one of the most vital events that should be reflected in the population statistics due to its impact on the size and structure of the country's population. The importance of correct evaluation of emigration is very high because, by influencing the efficiency of government policy making, it can help to avoid the negative consequences of emigration. However, many national statistical institutions of different countries fail to provide accurate statistics on emigration because of various obstacles which arise in the usage of administrative data sources. Politicians, researchers and experts engaged in the analysis of demographic development and the migration phenomenon are especially not satisfied with the amount and quality of the current statistical information provided by the official statistics. One of the important tasks for every NSI is not only to reflect the stocks and flows of emigrants, but also to provide their demographic and socioeconomic characteristics for the in-depth analysis of the determinants and consequences of emigration. Unfortunately, administrative data sources are usually unable to provide reliable statistics on the volume of undeclared emigration as well as on the characteristics of emigrants. Thus, the article discusses the benefits of conducting household surveys for obtaining information about characteristics of emigrants and filling this gap.