Graph and download economic data for Lerner Index in Banking Market for Indonesia (DDOI04IDA066NWDB) from 1996 to 2014 about lerner index, Indonesia, banks, depository institutions, and indexes.

Graph and download economic data for Lerner Index in Banking Market for Bulgaria (DDOI04BGA066NWDB) from 2001 to 2014 about lerner index, Bulgaria, banks, depository institutions, and indexes.

This dataset provides values for LERNER INDEX WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Lerner Index in Banking Market for Finland (DDOI04FIA066NWDB) from 1996 to 2010 about lerner index, Finland, banks, depository institutions, and indexes.

This dataset provides values for LERNER INDEX WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Lerner Index in Banking Market for Peru (DDOI04PEA066NWDB) from 1996 to 2014 about lerner index, Peru, banks, depository institutions, and indexes.

About this dataset

Context

The dataset illustrates the median household income in Rothschild, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Rothschild increased by $6,033 (7.72%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 6 years.

https://i.neilsberg.com/ch/rothschild-wi-median-household-income-trend.jpeg" alt="Rothschild, WI median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Rothschild median household income. You can refer the same here

This dataset provides values for LERNER INDEX WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Lerner Index in Banking Market for Ireland (DDOI04IEA066NWDB) from 1996 to 2010 about lerner index, Ireland, banks, depository institutions, and indexes.

About this dataset

Context

The dataset illustrates the median household income in Rothschild, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Rothschild increased by $5,836 (7.17%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Rothschild median household income. You can refer the same here

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Rothschild-Wealth-Management-(UK)-Limited.

Timeseries data from 'Wisconsin River at Rothschild (Wisconsin)' (gov_noaa_water_rotw3) _NCProperties=version=2,netcdf=4.8.1,hdf5=1.12.2 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=water_surface_above_station_datum_qc_agg,water_surface_above_station_datum,river_discharge,z,time,river_discharge_qc_agg&time>=max(time)-3days Easternmost_Easting=-89.634722 featureType=TimeSeries geospatial_lat_max=44.885833 geospatial_lat_min=44.885833 geospatial_lat_units=degrees_north geospatial_lon_max=-89.634722 geospatial_lon_min=-89.634722 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from NOAA National Weather Service (NWS) at id=129902 infoUrl=https://sensors.ioos.us/#metadata/129902/station institution=NOAA Water Resources Regions, National Weather Service naming_authority=com.axiomdatascience Northernmost_Northing=44.885833 platform=fixed platform_name=Wisconsin River at Rothschild (Wisconsin) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://water.weather.gov/ahps2/hydrograph.php?gage=ROTW3,, sourceUrl=https://water.weather.gov/ahps2/hydrograph.php?gage=ROTW3 Southernmost_Northing=44.885833 standard_name_vocabulary=CF Standard Name Table v72 station_id=129902 time_coverage_end=2025-07-15T13:00:00Z time_coverage_start=2015-05-05T13:00:00Z Westernmost_Easting=-89.634722

Graph and download economic data for Lerner Index in Banking Market for Switzerland (DDOI04CHA066NWDB) from 1996 to 2014 about lerner index, Switzerland, banks, depository institutions, and indexes.

Public banks are an important part of the banking market in Brazil and abroad, and they have been used to implement strategies furthering political and social goals. Although one of the main arguments for the existence of public banks is to encourage competition, this role remains controversial in literature. This paper analyzes the Brazilian banking market during the period from 2000 to 2011, calculating the level of competition between private and public banks, and their reactions to the measures adopted by the Brazilian government during the world crisis of 2008, when the government adopted a policy of publicly influencing public banks to increase loan approvals and reduce interest rates. From results obtained through three stage least squares estimation of the Lerner index, we found that public banks exhibit behavior closer to perfect competition than private banks, even though they can exert some market power. We also observed a change in competitive behavior after the 2008 crisis for both public and private banks, which displayed an increased in pro-competitive behavior.

Graph and download economic data for Lerner Index in Banking Market for Chile (DDOI04CLA066NWDB) from 1996 to 2014 about lerner index, Chile, banks, depository institutions, and indexes.

Graph and download economic data for Lerner Index in Banking Market for Oman (DDOI04OMA066NWDB) from 1996 to 2011 about Oman, lerner index, banks, depository institutions, and indexes.

This paper addresses the reduction of market failure under imperfect competition. It proposes a tax-scheme that provides firms with an incentive to forgo their market power: Firms optimize after‐tax profits. Now simply consider a firm’s gross profit margin the unique tax‐rate it is charged on absolute profits. In theory the firm’s tax‐rate would be the mark‐up over marginal costs, the firm’s Lerner index. As a result every firm determines its own tax‐rate by setting its price and incurring costs. This creates a new trade off for firms between a low tax‐burden and the exercising of market power. Welfare for society increases since firms with market power choose a lower price and produce a quantity closer or equal to social optimum; at the original monopolistic price‐level they can increase their profits by lowering their tax‐burden. Essentially the tax‐condition does not seem to distort profit incentives or markets; under perfect competition the tax‐rate would be zero. Thus, it is clear that the tax only takes effect when markets work inefficiently and its countervailing nature subsequently helps to remedy inefficiencies of imperfectly competitive markets.

Although a large body of literature has explored the relationship between ESG and firm value, the findings are inconsistent and most studies have focused on mature Western markets, with relatively little research on ESG practices and value creation effects in emerging markets, especially in transition economies such as China. This paper analyzes the correlation between ESG performance and firms’ long-term value using data from 4,185 listed companies in China’s A-share market from 2017–2022. We find that good ESG practices can significantly enhance firms’ future cash flows, long-term value and market competitiveness. The results suggest that ESG increases long-term firm value by reducing weighted average cost and increasing return on invested capital. The effects of firms’ HHI index, nature of property rights and ISO 9001 system certification on the relationship are further investigated and it is found that Lerner’s index acts as a mediating variable to enable ESG performance to affect firms’ long-term value by enhancing their market pricing power and competitiveness. This paper serves as an important reference for corporate managers to integrate ESG concepts into strategic planning for sustainable development and long-term value growth, helping enterprises implement ESG strategies for long-term corporate success and sustainable development.

Graph and download economic data for Lerner Index in Banking Market for Austria (DDOI04ATA066NWDB) from 1996 to 2014 about lerner index, Austria, banks, depository institutions, and indexes.

Although a large body of literature has explored the relationship between ESG and firm value, the findings are inconsistent and most studies have focused on mature Western markets, with relatively little research on ESG practices and value creation effects in emerging markets, especially in transition economies such as China. This paper analyzes the correlation between ESG performance and firms’ long-term value using data from 4,185 listed companies in China’s A-share market from 2017–2022. We find that good ESG practices can significantly enhance firms’ future cash flows, long-term value and market competitiveness. The results suggest that ESG increases long-term firm value by reducing weighted average cost and increasing return on invested capital. The effects of firms’ HHI index, nature of property rights and ISO 9001 system certification on the relationship are further investigated and it is found that Lerner’s index acts as a mediating variable to enable ESG performance to affect firms’ long-term value by enhancing their market pricing power and competitiveness. This paper serves as an important reference for corporate managers to integrate ESG concepts into strategic planning for sustainable development and long-term value growth, helping enterprises implement ESG strategies for long-term corporate success and sustainable development.