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Papers Containing Tag(s): 'Ordinary Least Squares'

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Center for Economic Studies - 97

North American Industry Classification System - 95

Longitudinal Business Database - 93

National Science Foundation - 80

Total Factor Productivity - 76

Annual Survey of Manufactures - 74

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Standard Industrial Classification - 65

Current Population Survey - 61

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2010 Census - 16

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Department of Economics - 15

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International Trade Research Report - 15

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Research Data Center - 14

Herfindahl Hirschman Index - 14

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Federal Reserve Board of Governors - 7

University of California Los Angeles - 7

Survey of Manufacturing Technology - 7

Electronic Data Interchange - 7

Establishment Micro Properties - 7

Journal of International Economics - 7

Computer Network Use Supplement - 7

Integrated Longitudinal Business Database - 6

Department of Education - 6

National Income and Product Accounts - 6

Initial Public Offering - 6

University of Toronto - 6

Harvard Business School - 6

National Ambient Air Quality Standards - 6

Core Based Statistical Area - 6

Bureau of Labor - 6

Princeton University - 6

Russell Sage Foundation - 6

NUMIDENT - 6

Employer-Household Dynamics - 6

Health and Retirement Study - 6

Supplemental Nutrition Assistance Program - 6

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IQR - 6

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National Institute on Aging - 6

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Cambridge University Press - 6

Fabricated Metal Products - 6

Economic Research Service - 6

Consumer Expenditure Survey - 5

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Survey of Industrial Research and Development - 5

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CAAA - 5

Washington University - 5

Earned Income Tax Credit - 5

Data Management System - 5

General Education Development - 5

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Center for Research in Security Prices - 5

Employment History File - 5

Manufacturing Energy Consumption Survey - 5

Temporary Assistance for Needy Families - 5

Personally Identifiable Information - 5

Review of Economic Studies - 5

Census Bureau Center for Economic Studies - 5

Sloan Foundation - 5

Journal of Human Resources - 5

North American Free Trade Agreement - 5

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BLS Handbook of Methods - 5

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National Research Council - 5

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WECD - 5

National Institutes of Health - 4

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Federal Insurance Contribution Act - 4

Yale University - 4

Business R&D and Innovation Survey - 4

National Center for Science and Engineering Statistics - 4

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American Immigration Council - 4

Penn State University - 4

Adjusted Gross Income - 4

Michigan Institute for Data Science - 4

Census Numident - 4

Indian Housing Information Center - 4

Individual Taxpayer Identification Numbers - 4

Council of Economic Advisers - 4

IBM - 4

Linear Probability Models - 4

Arts, Entertainment - 4

Energy Information Administration - 4

Federal Trade Commission - 4

Department of Justice - 4

Computer Assisted Telephone Interviews and Computer Assisted Personal Interviews - 4

CATI - 4

Standard Occupational Classification - 4

Business Register Bridge - 4

Integrated Public Use Microdata Series - 4

Disability Insurance - 4

Stanford University - 4

Management and Organizational Practices Survey - 4

Information and Communication Technology Survey - 4

Center for Administrative Records Research - 4

Foreign Direct Investment - 4

University of California - 4

Survey of Business Owners - 4

Financial, Insurance and Real Estate Industries - 4

Labor Turnover Survey - 4

Food and Nutrition Service - 4

Center for Administrative Records Research and Applications - 4

Local Employment Dynamics - 4

Wal-Mart - 4

International Standard Industrial Classification - 4

Stern School of Business - 4

Service Annual Survey - 4

University of Texas - 4

Federal Reserve Bank of Chicago - 4

Permanent Plant Number - 4

Consolidated Metropolitan Statistical Areas - 4

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Insurance Information Institute - 4

COMPUSTAT - 4

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Business Research and Development and Innovation Survey - 3

Annual Business Survey - 3

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Code of Federal Regulations - 3

Federal Register - 3

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Medicaid Services - 3

Selective Service System - 3

Master Earnings File - 3

Citizenship and Immigration Services - 3

American Housing Survey - 3

MAF-ARF - 3

European Commission - 3

Computer Assisted Personal Interview - 3

Census Industry Code - 3

Census Edited File - 3

Herfindahl-Hirschman - 3

European Union - 3

Occupational Employment Statistics - 3

Accommodation and Food Services - 3

SSA Numident - 3

Carnegie Mellon University - 3

Employer Characteristics File - 3

Georgetown University - 3

Company Organization Survey - 3

JOLTS - 3

Centers for Disease Control and Prevention - 3

Statistics Canada - 3

Northwestern University - 3

United States Census Bureau - 3

Public Use Micro Sample - 3

United Nations - 3

IZA - 3

MWTP - 3

Computer Aided Design - 3

Census of Services - 3

Summary Earnings Records - 3

New England County Metropolitan - 3

econometric - 72

labor - 72

production - 71

manufacturing - 65

employ - 63

employed - 53

economist - 52

estimating - 51

industrial - 50

market - 50

workforce - 50

recession - 50

endogeneity - 48

growth - 47

expenditure - 46

macroeconomic - 46

investment - 43

earnings - 42

sale - 39

employee - 39

revenue - 36

demand - 35

export - 34

economically - 33

estimation - 32

produce - 32

company - 32

spillover - 28

entrepreneurship - 27

sector - 27

gdp - 27

innovation - 26

worker - 25

manufacturer - 24

heterogeneity - 24

entrepreneur - 23

housing - 23

neighborhood - 23

exporter - 23

finance - 23

profit - 23

monopolistic - 22

productivity growth - 22

technological - 22

payroll - 22

efficiency - 22

hiring - 21

salary - 21

productive - 21

occupation - 21

enterprise - 20

import - 19

poverty - 19

rent - 19

unemployed - 19

financial - 19

immigrant - 19

competitor - 19

establishment - 19

organizational - 19

acquisition - 19

ethnicity - 18

regression - 18

survey - 17

disadvantaged - 17

technology - 17

segregation - 17

incentive - 17

population - 16

welfare - 16

profitability - 16

metropolitan - 16

discrimination - 16

resident - 16

merger - 16

industry productivity - 16

econometrician - 16

residence - 15

depreciation - 15

job - 15

unobserved - 15

hispanic - 15

residential - 15

earn - 14

aggregate - 14

consumption - 14

factory - 14

leverage - 14

entrepreneurial - 14

regulation - 14

minority - 13

financing - 13

multinational - 13

product - 13

workplace - 13

venture - 13

earner - 12

statistical - 12

estimator - 12

hire - 12

investor - 12

loan - 12

debt - 12

employment growth - 12

emission - 12

trading - 12

socioeconomic - 12

enrollment - 12

schooling - 12

diversification - 12

regress - 12

respondent - 11

patent - 11

productivity dynamics - 11

layoff - 11

tariff - 11

country - 11

labor productivity - 11

ethnic - 11

pollution - 11

city - 11

immigration - 11

bias - 11

impact - 11

retirement - 11

cost - 11

regulatory - 11

exogeneity - 11

corporate - 11

relocation - 10

exporting - 10

productivity estimates - 10

growth productivity - 10

labor markets - 10

lending - 10

bankruptcy - 10

lender - 10

regional - 10

specialization - 10

endogenous - 10

environmental - 10

racial - 10

disparity - 10

segregated - 10

family - 10

productivity measures - 10

geographically - 10

incorporated - 10

estimates productivity - 10

state - 10

plant productivity - 10

educated - 9

price - 9

consumer - 9

intergenerational - 9

factor productivity - 9

prospect - 9

stock - 9

borrower - 9

borrowing - 9

outsourcing - 9

pollutant - 9

wealth - 9

tax - 9

international trade - 9

tenure - 9

regressing - 9

unemployment rates - 9

productivity analysis - 9

productivity plants - 9

opportunity - 8

census bureau - 8

spending - 8

renter - 8

investment productivity - 8

invest - 8

creditor - 8

subsidiary - 8

outsourced - 8

inventory - 8

supplier - 8

mobility - 8

bank - 8

shock - 8

corporation - 8

commodity - 8

pricing - 8

federal - 8

productivity differences - 8

migrant - 8

quarterly - 8

longitudinal - 8

relocating - 8

producing - 8

sampling - 7

good - 7

effect wages - 7

exported - 7

productivity shocks - 7

wages productivity - 7

funding - 7

importer - 7

urban - 7

black - 7

neighbor - 7

efficient - 7

census data - 7

wage data - 7

accounting - 7

aggregate productivity - 7

union - 7

compensation - 7

labor statistics - 7

estimates employment - 7

wage changes - 7

employment dynamics - 7

rural - 7

suburb - 7

manufacturing industries - 7

graduate - 6

average - 6

shipment - 6

regressors - 6

invention - 6

manufacturing productivity - 6

productivity impacts - 6

relocate - 6

investing - 6

patenting - 6

monopolistically - 6

race - 6

wage growth - 6

industry concentration - 6

wage differences - 6

epa - 6

eligible - 6

manager - 6

management - 6

productivity wage - 6

measures productivity - 6

migrate - 6

migration - 6

trend - 6

strategic - 6

home - 6

generation - 6

acquirer - 6

recessionary - 6

analysis productivity - 6

productivity increases - 6

locality - 6

firms productivity - 6

area - 6

discriminatory - 6

dependent - 6

employing - 6

proprietorship - 6

profitable - 6

gain - 5

trade costs - 5

subsidy - 5

rates productivity - 5

bankrupt - 5

region - 5

productivity size - 5

externality - 5

larger firms - 5

industry wages - 5

mexican - 5

census responses - 5

education - 5

credit - 5

commerce - 5

startup - 5

proprietor - 5

researcher - 5

competitiveness - 5

advantage - 5

diversified - 5

wholesale - 5

industry variation - 5

diversify - 5

budget - 5

customer - 5

saving - 5

wage effects - 5

wage industries - 5

eligibility - 5

managerial - 5

risk - 5

regulation productivity - 5

productivity dispersion - 5

industries estimate - 5

sourcing - 5

immigrant entrepreneurs - 5

earnings mobility - 5

mortality - 5

takeover - 5

firms size - 5

employer household - 5

parental - 5

fertility - 5

decade - 5

declining - 5

trends labor - 5

firms trade - 5

insurance - 5

technical - 5

parent - 5

adulthood - 5

retailer - 5

district - 5

report - 5

econometrically - 5

aggregation - 5

agricultural - 5

ownership - 5

plant investment - 5

abatement expenditures - 5

pollution abatement - 5

plants industry - 5

longitudinal employer - 5

polluting - 5

expense - 5

wage gap - 4

data - 4

sample - 4

poorer - 4

effects employment - 4

productivity capital - 4

innovate - 4

liquidation - 4

equity - 4

borrow - 4

collateral - 4

exogenous - 4

practices productivity - 4

estimates pollution - 4

importing - 4

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latino - 4

citizen - 4

census household - 4

white - 4

school - 4

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substitute - 4

prices products - 4

residential segregation - 4

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pension - 4

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export market - 4

moving - 4

firms grow - 4

disability - 4

employment statistics - 4

census research - 4

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employment wages - 4

earnings workers - 4

startup firms - 4

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maternal - 4

estimates intergenerational - 4

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trade models - 4

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Viewing papers 171 through 180 of 301


  • Working Paper

    Export Prices of U.S. Firms

    December 2011

    Working Paper Number:

    CES-11-42

    Using confidential firm-level data from the United States in 2002, we show that exporting firms charge prices for narrowly defined goods that differ substantially with the characteristics of firms and export markets. We control for selection into export markets using a three-stage estimator. We have three main results. First, we find that that highly productive and skill intensive firms charge higher prices, while capital-intensive firms charge lower prices. Second, the very large correlation between distance and export prices found by Baldwin and Harrigan (2011) is largely due to a composition effect. Third, U.S. firms charge slightly higher prices to larger and richer markets, and substantially higher prices to markets other than Canada and Mexico.
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  • Working Paper

    Firm Market Power and the Earnings Distribution

    December 2011

    Authors: Douglas Webber

    Working Paper Number:

    CES-11-41

    Using the Longitudinal Employer Household Dynamics (LEHD) data from the United States Census Bureau, I compute firm-level measures of labor market (monopsony) power. To generate these measures, I extend the dynamic model proposed by Manning (2003) and estimate the labor supply elasticity facing each private non-farm firm in the US. While a link between monopsony power and earnings has traditionally been assumed, I provide the first direct evidence of the positive relationship between a firm\'s labor supply elasticity and the earnings of its workers. I also contrast the semistructural method with the more traditional use of concentration ratios to measure a firm\'s labor market power. In addition, I provide several alternative measures of labor market power which account for potential threats to identification such as endogenous mobility. Finally, I construct a counterfactual earnings distribution which allows the effects of firm market power to vary across the earnings distribution. I estimate the average firm\'s labor supply elasticity to be 1.08, however my findings suggest there to be significant variability in the distribution of firm market power across US firms, and that dynamic monopsony models are superior to the use of concentration ratios in evaluating a firm\'s labor market power. I find that a one-unit increase in the labor supply elasticity to the firm is associated with wage gains of between 5 and 18 percent. While nontrivial, these estimates imply that firms do not fully exercise their labor market power over their workers. Furthermore, I find that the negative earnings impact of a firm\'s market power is strongest in the lower half of the earnings distribution, and that a one standard deviation increase in firms\' labor supply elasticities reduces the variance of the earnings distribution by 9 percent.
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  • Working Paper

    Who Works for Startups? The Relation between Firm Age, Employee Age, and Growth

    October 2011

    Working Paper Number:

    CES-11-31

    We present evidence that young employees are an important ingredient in the creation and growth of firms. Our results suggest that young employees possess attributes or skills, such as willingness to take risk or innovativeness, which make them relatively more valuable in young, high growth, firms. Young firms disproportionately hire young employees, controlling for firm size, industry, geography and time. Young employees in young firms command higher wages than young employees in older firms and earn wages that are relatively more equal to older employees within the same firm. Moreover, young employees disproportionately join young firms that subsequently exhibit higher growth and raise venture capital financing. Finally, we show that an increase in the regional supply of young workers increases the rate of new firm creation. Our results are relevant for investors and executives in young, high growth, firms, as well as policymakers interested in fostering entrepreneurship.
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  • Working Paper

    Productivity Dispersion and Plant Selection in the Ready-Mix Concrete Industry

    September 2011

    Working Paper Number:

    CES-11-25

    This paper presents a quantitative model of productivity dispersion to explain why inefficient producers are slowly selected out of the ready-mix concrete industry. Measured productivity dispersion between the 10th and 90th percentile falls from a 4 to 1 difference using OLS, to a 2 to 1 difference using a control function. Due to volatile productivity and high sunk entry costs, a dynamic oligopoly model shows that to rationalize small gaps in exit rates between high and low productivity plants, a plant in the top quintile must produce 1.5 times more than a plant in the bottom quintile.
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  • Working Paper

    Impacts of Central Business District Location: A Hedonic Analysis of Legal Service Establishments

    July 2011

    Working Paper Number:

    CES-11-21

    This analysis examines the business impacts on law firms of locating in Central Business Districts (CBDs) in major U.S. cities. Specifically, we measure the price premium that law firms pay to locate in CBDs. Using micro-level data from the 1992 and 2007 Census of Services, we find that after controlling for firm size, firm specialization characteristics, and MSA and county attributes, law firms within CBDs pay about 15 to 20 percent more in overhead compared to those firms outside CBDs ' a result consistent across time between 1992 and 2007. When including an important additional measure of firm quality, however, we find that this impact is reduced to about 7 to 9 percent, but still statistically significant. Additional results show that there is a significant correlation between firm quality and CBD location. We also find that firm size and firm specialization measures are important factors in the choice to locate within CBDs. We argue that these results indicate that CBD location for law firms may serve as networking, quality sorting, and branding mechanisms.
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  • Working Paper

    The Emergence of Wage Discrimination in U.S. Manufacturing

    June 2011

    Authors: Joyce Burnette

    Working Paper Number:

    CES-11-18

    This paper examines the hypothesis that wage discrimination emerged at the beginning of the twentieth century. I test for wage discrimination by estimating the female-male productivity ratio from samples of manufacturing firms in the northeast, and then comparing the estimated productivity ratio to the wage ratio. I find that women did not face wage discrimination in manufacturing during the nineteenth century. In 1900 there was wage discrimination against women in white-collar jobs, but not in blue-collar jobs. Wage discrimination persisted, and in 2002 the female-male wage ratio was less than the productivity ratio.
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  • Working Paper

    The Cyclicality of Productivity Dispersion

    May 2011

    Authors: Matthias Kehrig

    Working Paper Number:

    CES-11-15

    Using plant-level data, I show that the dispersion of total factor productivity in U.S. durable manufacturing is greater in recessions than in booms. This cyclical property of productivity dispersion is much less pronounced in non-durable manufacturing. In durables, this phenomenon primarily reflects a relatively higher share of unproductive firms in a recession. In order to interpret these findings, I construct a business cycle model where production in durables requires a fixed input. In a boom, when the market price of this fixed input is high, only more productive firms enter and only more productive incumbents survive, which results in a more compressed productivity distribution. The resulting higher average productivity in durables endogenously translates into a lower average relative price of durables. Additionally, my model is consistent with the following business cycle facts: procyclical entry, procyclical aggregate total factor productivity, more procyclicality in durable than non-durable output, procyclical employment and countercyclicality in the relative price of durables and the cross section of stock returns.
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  • Working Paper

    Does the Retirement Consumption Puzzle Differ Across the Distribution?

    March 2011

    Working Paper Number:

    CES-11-09R

    Previous research has repeatedly found a puzzling one-time drop in the mean and median of consumption at retirement, contrary to the predictions of the life-cycle hypothesis. However, very little is known as to whether these effects vary across the consumption distribution. This study expands upon the previous work by examining changes in the consumption distribution between the non-retired and the retired using quantile regression techniques on pseudo-cohorts from the cross-sectional data of the 1990-2007 Consumer Expenditure Survey. The results indicate that there are insignificant changes between these groups at the lower end of the consumption distribution, while there are significant decreases at the higher end of this distribution. In addition, these changes in the distribution are gradually larger in magnitude when moving from the lower end to the higher end, which is found using several different measures of consumption. Work-related expenditures are instead shown to decrease uniformly across the consumption distribution. This evidence reveals that there is a progressive distributional component to the retirement consumption puzzle.
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  • Working Paper

    Assessing the Incidence and Efficiency of a Prominent Place Based Policy

    February 2011

    Working Paper Number:

    CES-11-07

    This paper empirically assesses the incidence and efficiency of Round I of the federal urban Empowerment Zone (EZ) program using confidential microdata from the Decennial Census and the Longitudinal Business Database. Using rejected and future applicants to the EZ program as controls, we find that EZ designation substantially increased employment in zone neighborhoods and generated wage increases for local workers without corresponding increases in population or the local cost of living. The results suggest the efficiency costs of first Round EZs were relatively small.
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  • Working Paper

    Beyond Cobb-Douglas: Estimation of a CES Production Function with Factor Augmenting Technology

    February 2011

    Authors: Devesh Raval

    Working Paper Number:

    CES-11-05

    Both the recent literature on production function identification and a considerable body of other empirical work on firm expansion assume a Cobb-Douglas production function. Under this assumption, all technical differences are Hicks neutral. I provide evidence from US manufacturing plants against Cobb-Douglas and present an alternative production function that better fits the data. A Cobb Douglas production function has two empirical implications that I show do not hold in the data: a constant cost share of capital and strong comovement in labor productivity and capital productivity (revenue per unit of capital). Within four digit industries, differences in cost shares of capital are persistent over time. Both the capital share and labor productivity increase with revenue, but capital productivity does not. A CES production function with labor augmenting differences and an elasticity of substitution between labor and capital less than one can account for these facts. To identify the labor capital elasticity, I use variation in wages across local labor markets. Since the capital cost to labor cost ratio falls with local area wages, I strongly reject Cobb-Douglas: capital and labor are complements. Now productivity differences are no longer neutral, which has implications on how productivity affects firms' decisions to expand or contract. Non neutral technical improvements will result in higher stocks of capital but not necessarily more hiring of labor. Specifying the correct form of the production function is more generally important for empirical work, as I demonstrate by applying my methodology to address questions of misallocation of capital.
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